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SANTA CLARA, CA — [Nov 3, 2025] — As data protection costs continue to rise across the enterprise software landscape, Sesame Software stands apart with a commitment to stable, predictable pricing for its Salesforce Backup and Recovery solution. While many vendors have increased rates and introduced tier-based limits, Sesame Software continues to provide enterprise-grade protection with flat annual pricing and unlimited data movement, ensuring customers can scale without surprises. “Data protection should deliver peace of mind, not budget uncertainty,” said Rick Banister, CEO of Sesame Software. “Our customers deserve a reliable solution that won’t penalize them for growth. That’s why we’ve maintained the same straightforward pricing model — no per-GB charges, no hidden fees, and no sudden increases.” Protect your Salesforce data with near real-time replication and predictable, flat-rate pricing. Sesame Software’s Backup and Recovery for Salesforce empowers organizations to safeguard their mission-critical data with near real-time replication, granular restore options, and SOC 2 Type II–certified security. Its hybrid deployment model allows enterprises to choose where data resides — on-premises, in their private cloud, or a hybrid combination — giving IT teams full control over compliance and recovery processes. In an era where most vendors are locking key functionality behind premium tiers, Sesame Software continues to prioritize accessibility and performance for all customers. The platform’s no-code interface, automated replication, and comprehensive restore capabilities make it both easy to use and powerful enough for large-scale environments. “Our goal has always been to make enterprise data management simple, scalable, and affordable,” added Banister. “We’re proud to deliver a platform that helps organizations maintain control — both of their data and their costs.” Looking ahead, Sesame Software will soon extend its trusted technology to a SaaS-based offering, providing the same reliable features and transparent pricing through a fully managed, cloud-native platform. About Sesame Software Sesame Software provides enterprise data replication and export solutions that help organizations take control of their data. View this release on PR Newswire. About Sesame Software's Salesforce Backup and Recovery Sesame Software’s Salesforce Backup and Recovery solution gives enterprises complete control over their Salesforce data — without the hidden costs or complexity common in other platforms. With near real-time replication, granular restore capabilities, and flat annual pricing, organizations can safeguard mission-critical Salesforce data while maintaining full visibility and compliance across their environment. Built for scale, performance, and simplicity, the solution ensures fast, reliable recovery from any incident — whether it’s accidental deletion, integration errors, or corruption. Engineered with SOC 2 Type II–certified security and flexible deployment options, Sesame Software lets customers decide where their data resides — on-premises, in their private cloud, or a hybrid configuration — ensuring compliance and confidence at every step. Soon, this trusted protection will also be available as a fully managed SaaS offering, bringing the same proven features, transparent pricing, and control to a streamlined, cloud-native experience.

It’s been three years since ChatGPT’s public debut. This milestone seemed to bring the Turing Test within reach. Yet, rather than fearing a Skynet-style future, many of us are grappling with a more mundane problem: what exactly to do with this new toolset. Ironically, it’s often easier to tell whether you’re talking to a robot than to know if the person (or bot) on the other end is human. Personally, if the response is written in flawless Harvard-level English, I suspect it isn’t. Chat interfaces, however, are only one manifestation of AI. In a corporate context, unless they’re connected to a company’s data, their advice is often limited. As for website chatbots? I want to drive a stake through every one I’ve ever encountered. Human support staff can be disappointing at times, but chatbots manage to drive me nuts all the time. The first wave of AI projects has produced both winners and losers, as is typical with any new technology. The real challenge is that most companies still don’t know why they should use AI in the first place. End users are looking for ROI that still feels elusive, while AI vendors are wondering where the paying customers are. We see staggering valuations for AI companies. However, often the value is driven by vendor-to-vendor activity rather than actual customer demand. OpenAI’s use of Oracle Cloud Infrastructure, for example, boosted Oracle’s stock price. Other firms build on OpenAI or Grok. At some point, these giants will need more than partnerships and infrastructure—they’ll need real, paying customers. AI Adoption Challenges: From Hype to Practical ROI I started attending AI-themed trade shows in 2023. The vendors were often impressively prepared, with slick booths and bold promises to “solve all your AI problems.” Based on famous cartoon. But the potential customers? Many came without a clear agenda. Few had specific projects or problems in mind. They were curious to see what AI could do for them. Some came to sell consulting services. Others hoped to find ways to bring AI into their companies—often without any defined requirements. The idea of “using AI everywhere” became fashionable in some circles. However, it was both brave and, frankly, foolish. Companies were being encouraged to spend on AI “just in case” they might find a problem worth solving later. A Solution Looking for Problems If you start with a shiny new tool and then go hunting for problems to solve, you’re likely to be searching for a long time. Companies have real challenges—doing things smarter, faster, or cheaper. AI does have strong use cases: drafting customer communications, predicting revenue, automating repetitive tasks, and even performing research that would otherwise take days. But as long as organizations approach AI as a hammer looking for nails, they’ll face resistance. After all, many jobs depend on not automating certain tasks out of existence. One of my personal favorite uses of AI is research. When a conversation hits a dead end because neither person knows enough about a topic, I ask ChatGPT. In seconds, I get a solid, college-level overview—often with links to original sources. I trust it because I understand its limitations and verify the references. That’s far better than asking someone to speculate from a position of ignorance—something both humans and AI tend to do when cornered. Setting Realistic Expectations for AI Projects The real question is how to set expectations and focus on AI projects that deliver tangible results. That’s the subject of my next article: “How to Identify AI Project Candidates in the Modern Enterprise.” Future pieces in this series will focus on practical corporate needs—specifically, how AI can be applied to improve decision-making and deliver measurable ROI. Next Steps to Take Control of Your Data Sesame Software's data pipelines ensure information flows cleanly and consistently across systems. This provides the quality, structure, and governance AI tools need to deliver trustworthy insights. Talk to a Data Expert about building the data foundation that makes AI practical, measurable, and ROI-driven. FAQ: Data Readiness for AI Why is data readiness the first step toward effective AI? AI can only be as accurate as the data it’s built on. If your data is incomplete, inconsistent, or siloed, AI results will be unreliable. Sesame Software’s data pipelines ensure data is clean, connected, and governed—so AI tools can operate on trusted information instead of guesswork. How does Sesame Software help companies prepare for AI? Our platform streamlines data replication and integration across every environment—on-prem or cloud—creating a unified source of truth. This consistency gives organizations the reliable foundation needed for analytics, automation, and AI-driven insights. What’s the biggest barrier to AI success in most enterprises? Most AI projects stall not because of the models, but because the underlying data isn’t ready. Disconnected systems, manual data movement, and lack of governance make it impossible to scale AI with confidence. Sesame Software eliminates these barriers by keeping data synchronized and audit-ready. How can I tell if my organization is AI-ready? You’re ready when your data is unified, up to date, and governed—when insights can be trusted without constant manual cleanup. If achieving that feels out of reach, data readiness through automated pipelines is the right place to start. Found this post helpful? Share it with your network using the links below.

Enterprises now manage more data than ever. This data is scattered across various apps, databases, and clouds. Traditional ETL workflows are often rigid, slow to change, and costly to maintain. Composable data pipelines offer a different path. They break data movement into small, reusable functions that you can combine, test, and scale as needs evolve. The result is faster time to value, cleaner data for analytics and AI, and greater control over where your information lives. At Sesame Software, we build pipelines with modular components that do one job well. Producers pull data from sources like Salesforce or NetSuite. Transformers normalize, enrich, or redact fields. Consumers write data to warehouses, object stores, or analytics tools. Because each function is independent, teams can prototype quickly, add custom logic, and scale without reworking the whole pipeline. Why Composable Data Pipelines Matter Now Business leaders want results fast. Composable data pipelines let you spin up proof of concepts and production flows without rewriting large jobs. When a new use case appears, you can reuse existing functions and add only what’s necessary. This approach lowers risk and shortens delivery cycles. Scaling is another significant advantage. Modern architectures rely on serverless and distributed compute to process high volumes without huge infrastructure overhead. With a modular approach, you can scale individual pipeline stages independently. This is more cost-efficient and easier to monitor. Compliance and data quality matter more than ever. Pipelines can include validation, normalization, enrichment, and PII redaction steps before any dataset reaches analytics or archives. This makes audits simpler and reduces exposure. Finally, AI readiness depends on clean, tagged, and consistent data. Composable pipelines automate wrangling, add metadata, and produce reliable training sets that improve model performance. How Composable Data Pipelines Work Our model separates responsibilities into small, pluggable pieces. Producers connect to sources such as Salesforce, NetSuite, JDBC, or third-party APIs. Reusable functions perform transformations: normalize data types, add metadata tags, remove unnecessary fields, enrich addresses, or redact sensitive values. Consumers persist results to Snowflake, S3, SQL databases, or BI tools. Because each step is auditable and independent, you get clearer lineage and easier troubleshooting. You can substitute or update a single function without affecting the rest of the flow. This also lets teams version functions and test changes safely. Prebuilt vs Custom Functions for Composable Data Pipelines Sesame provides prebuilt functions for common tasks like string normalization, default values, and PII handling so you can move quickly. For advanced needs, you can add custom functions for AI enrichment, third-party API calls, or serverless scaling using AWS Lambda or equivalent. Mix and match prebuilt and custom functions to create pipelines tailored to your architecture. Start with low-risk, high-value flows (for example, Salesforce → Snowflake) and iterate toward richer enrichment and governance over time. Business Benefits of Composable Data Pipelines Faster proofs of concept and lower time to value. Improved data quality and audit readiness. Elastic scale without oversized infrastructure. Easier maintenance and faster feature delivery. Better datasets for analytics and machine learning. These translate to faster insights, lower operational costs, and a stronger compliance posture. Data pipelines should be flexible, auditable, and ready for what comes next. Sesame Software’s composable data pipelines help you move, clean, and govern data in near real-time. This ensures analytics and AI teams get trustworthy inputs while engineering teams benefit from simpler, safer flows. If you want a quick checklist or a short demo, click the button below. Next Steps See our full range of pipeline capabilities to design modular, auditable data flows. Learn which connectors match your architecture and scale needs. Book a demo to validate your architecture and prioritize a pilot. Download a quick evaluation checklist to share with your team. Composable Data Pipeline FAQ What are composable data pipelines? Composable data pipelines use small, reusable functions (producers, transformers, consumers) that connect to form end-to-end flows. They replace monolithic ETL with modular parts you can reconfigure for new use cases. How do composable data pipelines differ from traditional ETL? Traditional ETL is typically a single, rigid process. Composable pipelines are modular, easier to test, and faster to change — which reduces time-to-value for POCs and improves maintainability. Are composable pipelines secure and compliant? Yes. Functions can include built-in normalization, redaction, and metadata tagging so sensitive fields are handled before data reaches analytics or archives. Sesame supports GDPR/HIPAA controls and audit logs. How long does it take to implement a composable pipeline? Times vary by use case. A simple replication pipeline (e.g., Salesforce → Snowflake) can be configured in days; advanced enrichment or custom functions can take a few weeks. We help prioritize quick wins first. Can composable pipelines prepare data for AI? Absolutely. Automated wrangling, metadata tagging, and consistent formatting create high-quality training datasets for ML models. Found this post helpful? Share it with your network using the links below.

Instant Salesforce Data Warehouse for Accelerated Business Intelligence Sesame Software provides an instant Salesforce data warehouse in just minutes that has all data in its original structure. The instant data warehouse works in conjunction with any Business Intelligence solution. Additionally, Sesame Software provides tools to seamlessly move data between Salesforce and adjacent enterprise systems. For example, databases, ERP/CRM systems, and custom applications. This patented warehouse automation technology shortens rollout time by bypassing the months-long labor-intensive build process associated with designing a warehouse and mapping the data extraction and loading. A warehouse schema is automatically created and maintained to reflect the source schema. This boosts the productivity of your data management team and gain key insights in a timely manner by effortlessly scaling your data for robust reporting and analytics. Sesame Software Benefits Sesame Software combines data warehousing, integration, replication, and compliance to cover all of your Salesforce and Marketing Cloud Products data management needs. Flexible deployment options include on-premise, public cloud, or private cloud. In today’s digitally driven business landscape, where data is the backbone of marketing operations, data protections have never been more critical. Pardot and Marketing Cloud, as integral components of your marketing strategy, hold invaluable customer insights, campaign analytics, and communication history. Yet, relying solely on these platforms without a robust backup strategy is like walking a tightrope without a safety net. Imagine the repercussions of data loss due to a technical glitch, cyberattack, or accidental deletion. Having a comprehensive data warehouse solution not only ensures business continuity but also offers peace of mind, with the ability to recover and restore your data to its rightful state. Data Warehouse Keeps data fresh by creating and continuously synchronizing an instant Salesforce data warehouse that is fully automated and mirrors your Salesforce instance for advanced business analytics Plug-and-play simplicity for rapid deployment, delivering data within minutes Additional endpoints available for popular databases and application systems Integration Integration between many data sources Hub and spoke model optimized for efficient integration of all data Replication Patented multithreaded technology enables bi-directional data replication Replicates data to the schema as often as every five minutes, or use real-time mode for selected Salesforce objects No data mapping required Compliance Protects your data with continuous daily backups and point-in-time recovery Restores data and relationships quickly, at any level of granularity Compliant with all industry mandates In conclusion, Read more about Sesame Software’s fully automated data warehouse for Salesforce and how to fully leverage your Salesforce data on-premise or in the cloud – book a demo today!

Sesame Software’s Data Management Suite provides an instant data warehouse for Microsoft Azure. So, organizations looking to integrate data from Microsoft Azure and other data sources have a cost-effective and easy-to-use solution with Sesame Software. Customers gain real-time access to timely and trusted data to support both analytical and operational data warehousing and integration initiatives. About Sesame Software Sesame Software’s patented scalability and multithreaded technology speeds up time to production by providing an instant data warehouse in minutes. Additionally, Sesame Software enables secure and efficient data integration between cloud and on-premise databases, ERP/CRM systems, and custom applications for robust reporting and analytics. By integrating data from external and internal sources with Relational Junction, organizations are provided with a database that gives real-time 360-degree access to their most important data to streamline operations, drive revenue growth, facilitate sales, and improve customer relationships. Key Benefits of an Instant Data Warehouse Rapid deployment shortens your time to production Deploy on-premise or in the cloud High-volume batch loads and trickle-feed integration processes Replicates data to an instant data warehouse for compliance and business intelligence Standards-based SQL interface for any level of integration Advanced auto discovery for schema changes and additions with no data modeling necessary Lowers total cost of ownership by maximizing designer productivity Unlock Insights Users of Sesame Software can bypass platform reporting limitations by moving their data from multiple applications to the BI tool of their choice, such as PowerBI or Tableau. This quicker, smoother flow of information allows full visibility into operations so you can use the insights to make better decisions faster! Where to Purchase Oracle Cloud Microsoft Cloud Amazon AWS Any privately hosted service

Business leaders often rely on emotional intelligence skills like intuition, experience, and observation when making highly consequential business decisions. However, these methods have sometimes been found lacking in their ability to produce results, especially in rapidly changing industry landscapes and as data becomes an increasingly important part of an organization’s culture. 57% of businesses are already using data to make decisions while 91% of business leaders say that data-driven decision-making is important to their organization. This disparity between understanding the importance of using data and actively using it can be attributed to a lack of awareness about what data-driven decision-making is and how it can be achieved. Image Source What is Data-Driven Decision-Making? Most people can infer from the name that data-driven decision-making involves using data from multiple sources to make informed decisions at every business level. To do this effectively, businesses need to follow three steps. Collect relevant data from a wide variety of sources and touchpoints. Process the data to extract insights that are useful for decision-making. Present these insights in an easy-to-understand manner to decision-makers. Once these steps are achieved, data can provide business leaders with the insight they need to confidently make informed decisions. 3 Reasons You Need to Employ Data-Driven Decision-Making Now 1. Ensure Your Teams are Working Towards a Single and Unified Goal Business leaders set thoughtful and intentional goals and objectives. However, these goals don’t always translate into a strategic vision. This can be a result of a lack of awareness or understanding of these objectives at all levels. Finance, human resources, and other departments can sometimes operate with highly specific goals and objectives that don’t feed into the grander strategy for the business. When attempting to conduct data-driven decision-making, businesses must put a data strategy in place that communicates the objectives of data programs and explains how each team is meant to contribute to the organization. This allows teams to better align themselves with their counterparts in other departments and better understand their role in meeting organizational goals. 2. Actively Identify and Respond to Threats and Opportunities As business environments become more complex and competitive, decision-makers must be fully aware of the challenges and opportunities to maintain a competitive advantage in the marketplace. The speed with which businesses can identify and respond to these challenges and opportunities can make a significant difference in whether or not they can keep pace with a rapidly evolving business environment. Businesses understand the importance of this insight, with over 67% collecting customer feedback to remain aware of how needs and preferences are changing over time. Effective and efficient data processes can help business leaders collect and analyze data before their competitors realize that customers’ preferences or market conditions have changed. Building effective data pipelines that deliver this information to decision-makers also minimizes the time lag between identifying these opportunities and responding to them with a new strategy. Image Source 3. Optimize Operations for Maximum Output with Minimal Input Businesses rely on highly efficient and effective processes across departments to meet their goals and objectives. However, it is not enough for each department to have processes that are optimized for their own goals. Through data collection and analysis, business leaders can find ways to better utilize the tools and assets they already have to achieve higher output. This can lead to cost savings and improved asset utilization across the business. The Role of Data Integration in Enabling Effective Decision-Making Data is fast becoming a critical asset for organizations worldwide. Businesses collect, store, and analyze data at unprecedented rates but this data doesn’t always generate the insight that business leaders need. Here is how data integration can help organizations make better decisions and receive more relevant insights into their operations. Closing the Gap Among Data Silos Provides Decision-Makers with a Holistic View of Business Operations Most businesses have had to overcome the challenges that data silos create to achieve a holistic view of their business. As specialized digital tools become more common, the information gaps created by silos can become larger. These silos can make it difficult for business leaders to collect, consolidate, and analyze organization-wide data promptly. Data integration helps businesses create a single source of truth for every stakeholder to contribute to. This assures business leaders that they are making decisions based on the latest and most complete set of data available to them at all times. Real-Time Data Delivery Makes Reporting Processes Less Cumbersome and More Effective Data and insight are generated at every level of an organization and decision-makers rely on effective reporting processes to use this insight in strategy development and decision-making. Fully integrated data processes and a consolidated single source of truth can be paired with graphical interfaces and AI-powered insight generation to give business leaders a clear sense of business performance in real-time. Collaboration Among Departments Fosters Data-Sharing Efforts Data processes are often extremely results-oriented and are designed to deliver a certain level of insight to all who use them. Decision makers rely on consistent participation in these data processes from employees at all levels for a holistic understanding of their business. To achieve widespread buy-in for data processes, business leaders must ensure that these data sharing and management practices are not disruptive to existing workflows and can be easily understood by non-technical staff members. Ultimately, data-driven decision-making can help organizations find new business opportunities, react to unforeseen challenges, save costs, and improve operational efficiency. However, these benefits can only be achieved when a business builds the right data foundations consistently and effectively. Data integration allows business leaders to ensure that complete, accurate, and reliable data is delivered to business leaders in real-time. About the Guest Author Loretta Jones is VP of Growth at Acceldata.io with extensive experience marketing to SMBs, mid-market companies, and enterprise organizations. She is a self-proclaimed ‘startup junkie’ and enjoys growing early-stage startups. She studied Psychology at Brown University and credits this major to successful marketing as well as navigating a career in Silicon Valley. She’s a nature lover and typically schedules her vacations around the migratory patterns of whales and large ocean creatures.

Our team had an amazing time last week in Las Vegas giving hands-on demonstrations of Sesame Software’s suite of data warehousing, replication, and integration tools at Oracle CloudWorld 2022! We showcased our rapid data pipelines and solutions based on personalized questions and use cases (see our data sheets with details – Lakehouse, Fusion, NetSuite, Oracle) – and so glad to have done it in person! Your All In One Solution for Oracle Sesame Software integrates with Oracle Cloud solutions and combines data warehousing, replication, integration, and backup capabilities into a powerful, flexible solution. Sesame Software has been recognized by Oracle as a ground-breaking solution that supports critical data management and analytics projects, and makes your data easy to consume and put to use. Watch our new video overview of our rocket-fast data connectors. Maximize Your Oracle Didn’t get a chance to stop by for a demo to learn more about our data pipelines for your Oracle Applications? Learn more and schedule a demo today. Already an Oracle User? Our marketplace listings are live and ready to launch! View our suite on the marketplace today! Still Trying To Figure Out Where To Start? We can help. Schedule a demo of Sesame Software today to discuss how we can help create a unified view of your data by bringing it all to one place with instant connections to on-premise or cloud enterprise applications or databases.

Sesame Software, available on Oracle Cloud Marketplace,provides secure and rapid data movement enabling robust reporting and analytics SAN FRANCISCO, October 10, 2022 /PRNewswire/– Sesame Software, an innovative leader in Enterprise Data Management and member of Oracle PartnerNetwork (OPN), is showcasing their data management platform, Sesame Software, at Oracle CloudWorld, October 17-20 in Las Vegas. Sesame Software, allows customers to bring data from various sources to their data warehouse, data lake, or lakehouse in just minutes. Oracle Cloud Infrastructure (OCI) customers can deploy Sesame Software directly from the Oracle Cloud Marketplace and have complex data workloads moving to the target of their choice in just minutes. Sesame Software serves a wide range of use cases including data integration, data replication, cloud migration, and more. Sesame Software’s “Powered by Oracle Cloud” Expertise means the enterprise data management platform has been tested and verified on OCI. This achievement offers customers confidence that Sesame Software is supported by the OCI SLA guarantee, helps ensure customers have full access and control over their cloud infrastructure services, and consistent performance. “We’re excited to showcase how organizations can securely move data on OCI from Oracle Applications and a wide variety of sources to the target of their choice, such as an Oracle Database, Oracle Autonomous Data Warehouse, or Oracle MySQL HeatWave for robust reporting and analytics,” says Rick Banister, Sesame Software founder and CEO. The latest version of Sesame Software’s features enhanced data workflows and fully automated pipelines that internalize and ingest data at rapid speeds and merge that data into a single database for enhanced analytics. Sesame Software is exhibiting at booth #268 in the Venetian Hub at Oracle CloudWorld. Book a demo to learn how Sesame Software’s fully automated pipelines and instant data warehouses deliver data in near real-time! About Sesame Software Headquartered in Santa Clara, California, Sesame Software is the leader in Enterprise Data Management, delivering data rapidly for enhanced reporting and analytics. Sesame Software’s patented Sesame Software suite of products offer superior solutions for data warehousing, integration, replication and backup capabilities to fit your business needs. Quickly connect to SaaS, on-premise, and cloud applications for accelerated insights. To learn more, go to www.sesamesoftware.com. About Oracle PartnerNetwork Oracle PartnerNetwork (OPN) is Oracle’s partner program designed to enable partners to accelerate the transition to cloud and drive superior customer business outcomes. The OPN program allows partners to engage with Oracle through track(s) aligned to how they go to market: Cloud Build for partners that provide products or services built on or integrated with Oracle Cloud; Cloud Sell for partners that resell Oracle Cloud technology; Cloud Service for partners that implement, deploy and manage Oracle Cloud Services; and License & Hardware for partners that build, service or sell Oracle software licenses or hardware products. Customers can expedite their business objectives with OPN partners who have achieved Expertise in a product family or cloud service. To learn more visit: http://www.oracle.com/partnernetwork Trademarks Oracle, Java, and MySQL are registered trademarks of Oracle Corporation. Sesame Software is a registered trademark of Sesame Software, Inc. # # # Media Contact marketing@SesameSoftware.com

It just got a little easier to bring together databases in Oracle Cloud with workloads running in Microsoft Azure thanks to the launch of the duo’s multi-cloud database service. Oracle and Microsoft announced that they are jointly launching a new service, dubbed Oracle Database Service for Azure, that will allow Azure customers direct access to Oracle databases running on Oracle Cloud Infrastructure (OCI). “Microsoft and Oracle have a long history of working together to support the needs of our joint customers,” Corey Sanders, Corporate VP of Microsoft Cloud for Industry and Global Expansion, said in a canned statement. “This partnership is an example of how we offer customer choice and flexibility as they digitally transform with cloud technology.” The new offering allows for their common customer enterprises to run workloads across Microsoft Azure and Oracle Cloud to reduce latency. The offering is a managed service that enables enterprises to provision, access, and operate enterprise-grade Oracle Database services in Oracle Cloud Infrastructure (OCI) with a familiar Azure-like experience. This means that enterprises can monitor Oracle databases right from within the Azure environment. Users can seamlessly build Azure applications with the high performance, high availability, and automated management of Oracle Database services, such as Autonomous Database, running on OCI. “There’s a well-known myth that you can’t run real applications across two clouds,” Clay Magouyrk, EVP of Oracle Cloud Infrastructure, said in a statement. “There is no need for deep skills on both of our platforms or complex configurations — anyone can use the Azure Portal to get the power of our two clouds together.” Multicloud Migration Solution As you are migrating to the cloud, it is essential to embrace a strategy that allows you to use separate cloud platforms for their IaaS and PaaS needs, database management, security preferences, and so on. Sesame Software’s data migration platform and it’s cloud agnostic approach means that you can leverage the different benefits of any cloud infrastructure. Sesame Software migrates even the most complex workloads to cloud, saving you time, money and guaranteeing you the best results. Seamless Workload Migration to OCI With Sesame Software, you can move your data workloads to the cloud with confidence, as Sesame Software is supported by the OCI SLA guarantee. This ensures you have full access and control over your cloud infrastructure services as well as consistent performance. Sesame Software has been recognized as the most effective partner solution to move data workloads to the cloud. Read the blog. Whether you’re an end customer or partner, if you’re adopting a multi-cloud strategy, let Sesame Software streamline cloud migration projects while you focus on your business. Get started today!

Moving your workloads to the cloud can seem like a daunting task. Maybe you are concerned that cloud technology is not a long-term solution. Or perhaps the cost of moving to the cloud, with time and resources, would outweigh the benefits for your particular business. As many move towards cloud computing as a solution, use this article to determine the correct step for you – whether that is continuing on-premise or completing a successful migration to the cloud. What’s the Difference Between On-Premise & Cloud? This is a common question. Data is vital to a business’s success when it comes to making decisions. Therefore, it is very important to keep it accessible and protected. So, there are two ways to store this important data, either on-premise or cloud. On-Premise On-premise, or on-prem, is when the data is stored on the computer of the person working on the data or in the company’s internal system. To ensure that data is communicating properly, hardware and software will need to be installed on these devices. With on-prem, if more sources are added, maintenance is required to ensure the data is mapped correctly and able to function. In The Cloud Cloud technology uses the internet to house the data. It is possible to access, store, or update the data from anywhere. Also, in most cases, data is backed up automatically – eliminating the need to purchase external hard drives or to be tied to a certain set of computers. Instead, users usually pay a monthly fee to house the data in the cloud, such as AWS or Google Cloud. Hybrid A hybrid cloud is an environment that uses a mixture of on-premise, public and private clouds to house data. It is typical practice to house more critical information on-premise and less sensitive data in the public cloud. Items in each environment can communicate, allowing for flexibility and cost management when storing your data. While cloud data has many benefits, migrating data into the cloud can be challenging. Check out the five most common hurdles when moving data to the cloud. Top 5 Cloud Migration Challenges Speed Many are asking, how long does it take to deploy cloud services? What is the risk of downtime? These are important questions. The IT team needs to be knowledgeable about the cloud to ensure it’s up as fast as possible – which can be difficult without the proper skills. Downtime has the potential to hurt customer relationships, depending on the data you are transferring to the cloud. This means it is essential to educate the team beforehand to ensure they are comfortable with the platform and aware of the issues that could arise during the process. Cost For many businesses, moving data to the cloud can be costly. As this takes time and resources, it’s important to assess the costs before starting the cloud migration process. You should consider if the data will need to be rewritten or redesigned for the cloud. After this, if you are using enterprise applications, will the terms change when moving to the cloud? Will it cost more to house the data? If so, it would be beneficial to look into SaaS solutions. Over time, moving to the cloud will be less expensive than maintaining an on-premises solution. However, migration to the cloud comes with a price, so it is important to consider all aspects upfront. As time goes on, on-prem could become obsolete, making migrating to the cloud even more difficult and expensive. Overall, even though cloud computing requires expenses upfront, it may provide cost savings in the long run. Security When it comes to security, cloud environments can be more challenging than on-premises environments. Previously, your data was stored on a set of computers, sometimes without access to the internet. After the migration, your data will be housed only on the internet. It is a frightening thought. To combat this, look for a provider with strict security policies. Many providers take security very seriously and in most cases, the data will be more protected than when it was on-prem. Security must be considered in the application performance when looking for a service provider. Technical Knowledge In our recent poll, 38% of respondents stated that technical knowledge is one of their biggest challenges moving to the cloud. Check to make sure that your team’s skills align with what is needed for the project and assess where you might need to bring in outside help. Employees who interact with data also need technical knowledge for the migration and for the implementation. It is crucial to make sure that these employees understand the skills and knowledge they need to have before the cloud migration, as the organization can be vastly different from what it was in the past. Strategy Lastly, it is important to understand and take the time to determine your strategy. There are many different wants and needs when it comes to cloud migration and many ways to get there. Determine the business objectives you are looking to accomplish and devise a thoughtful cloud migration strategy. A well-constructed cloud strategy eliminates the need to backtrack to formulation after the migration has already started. In conclusion, there are many challenges with data migration. Migrating to the cloud from on-premise data housing could be a cost-effective, secure solution for your business – providing insights that were not available before. Benefits of Cloud Migration While there are many challenges when it comes to migrating data to the cloud successfully, there are also many benefits. These benefits can provide a lasting impact on your business, allowing the company to not only grow but thrive. Analytics Keeping your business up-to-date with the latest data technology will pay off in the long run – increasing the agility and flexibility of the business. The cloud allows for a 360-degree view of your data with the ability to analyze everything in one place. Innovation Allowing the company to innovate faster and make quicker business decisions in an ever-changing market can be crucial in setting your business apart. You can access and analyze your data anywhere with cloud migration. No more waiting days for reports or missing sections of data in your on-prem system. Scalability Your company will be able to grow at a faster pace with scalability as a priority. Data mapping will become a thing of the past, and your team will be able to connect data sources in a few minutes, instead of spending weeks on the project. Compliance Meeting compliance requirements is one of the specialized functions of some cloud platforms. As this is ideal and highly regulated in some industries, it could be seen as a very large attraction to hosting in the cloud. Backup Almost all cloud providers offer backup and recovery features, helping to ensure business continuity. Some providers also allow you to store backups in different geo-sections. Moving to the Cloud In the end, it is essential to make the correct decision for your business. There are many cloud migration tools available and research should take time before deciding on a managed service for a public cloud or private cloud. The Solution Sesame Software is built to handle cloud migration and integration complexities no matter the size, volume, or source of data. Sesame Software is fully scalable and connects and aggregates data from different silos and sources, both on-prem and in the cloud. By utilizing data replication, Sesame Software provides users with a mirror copy of their disparate data. Because data is continuously synchronized, all data changes are reflected, ensuring accurate analytics and superior reporting for critical business intelligence. If you would like to learn more about the cloud migration services available with Sesame Software, schedule a discovery call today!

The migration of workloads to the cloud can drastically alter an enterprise’s IT landscape by utilizing the cloud’s scalability, flexibility, and agility. While there are many types of cloud migration, one of the easiest, least costly, and safest ways to migrate an existing workload to the cloud is to deploy the workload as-is and run it on cloud-native infrastructure. This is known as the “Lift and Shift” (or rehosting) approach. The lift and shift approach is migrating your existing data and applications and rehosting them in the cloud with minimal or no changes. Applications are effectively “lifted” from the existing environments and “shifted” as-is to new hosting premises, i.e., in the cloud. In this case, new hosting premises often means moving to a public cloud provider like Oracle Cloud Infrastructure, Amazon Web Services (AWS), or Microsoft Azure. There is no need for changes to the existing application, making this model the ideal approach for cloud migration strategy deadlines. This blog examines the lift and shift cloud migration approach in detail and will discuss how Sesame Software can assist you in your cloud migration journey. Cloud Migration Business Drivers Some key business drivers for migrating workloads to cloud platforms are: Shifting from underlying infrastructure and platforms to application innovation Ingestion for more types of data and larger volumes in less time Hybrid architecture to leverage cloud services that are not available on-premises Infinite scalability to meet changing business needs Availability and agility of cloud resources compared to on-premises deployments Alternative cloud solutions to replace end-of-life hardware/software Rapid provisioning, lower cost of performance Enterprise-grade security capabilities and compliance standards Advantages of the Lift and Shift Approach Compared to running an application on-premises, lift and shift migration can offer several compelling benefits. Fast, cost-effective, minimally disruptive migration: Lift and shift lets you migrate quickly without dedicating a large team to the task. On-premises applications can remain in place throughout the migration so that service is not interrupted and the application experience remains unchanged for users. No significant changes required: Since the application is merely being rehosted on the cloud, no application-level changes are necessary. The lift and shift approach uses the same architecture constructs even after the migration to the cloud takes place. Thus, no significant changes are required regarding business processes, monitoring, and management interfaces. Potential for improved performance: Lift and shift offers the opportunity to run applications on updated, better-performing hardware without purchasing the hardware yourself. Consolidating on-premises, expanding capacity: Consolidate your on-premises data center infrastructure and costs while adding compute capacity, storage, and additional network bandwidth to the cloud on a pay-by-use basis. Scalability on demand: Lift and shift can be used to increase the capacity of an application without purchasing and installing new hardware. You won’t need to overprovision hardware to account for peak traffic periods. Cloud elasticity: It may prove useful in specific applications to be able to automatically spin up or spin down resources based on demand. Your cloud’s elasticity and the extent to which your application can leverage it will increase your savings by using just the resources you need at any given time. Enhanced security and compliance: When migrated to the cloud, even legacy applications can benefit from cloud security services such as unified hybrid security processes, role-based access control, and multifactor authentication. Reduced costs and headaches: The more applications you can migrate to the cloud, the faster you can scale down your on-premises infrastructure and the costs of managing and maintaining it. An Introduction to Hybrid Cloud Lift and shift is a simple and efficient method of moving applications to a private or public cloud while continuing to run other workloads on-premises. You can manage the platforms together as a single, optimized infrastructure with the proper management tools. However, lift and shift will not produce benefits for all applications. An application that’s only partially optimized for the cloud environment may never realize the potential savings of cloud computing. In the end, this application may cost more to run on the cloud in the long run. If an application runs slowly or inefficiently on-premises, it is unlikely to run any better on the cloud without modification. Licensing costs and restrictions may make lift and shift migration prohibitively expensive. When Does the Lift and Shift Approach Make Sense? Rehosting is the fancy name for lift and shift. Sometimes, it makes the most sense to rehost the existing application in a cloud infrastructure with legacy applications. For instance, if your existing application runs in a virtual environment, you may be able to move it to a cloud environment that resembles your legacy infrastructure. In this case, a lift and shift approach can be the fastest way to cost savings. You can benefit from auto-scaling and pay per consumption, by replicating your application in a cloud environment. Many businesses start with this approach when they don’t have many engineers with the skill-sets to work in a cloud-first environment. Replicating the existing application does not require a great deal of depth of cloud knowledge. Some workloads simply can’t be refactored because they’re third-party software, or it’s not a business priority to do a total rewrite. Simply shifting to the cloud is the end of the line for these workloads. Lift and Shift Scenarios Here are a few scenarios where you may realize the advantages of a lift and shift migration strategy: Your on-premise infrastructure costs skyrocket, and you’re trying to save costs. In this case, it may be beneficial to: Briefly ‘park’ the applications on the cloud until you’re ready or able to rebuild. Vacate a data center that costs significantly more than a cloud-based environment to save money even if the application is maintained as-is. Migrate your workload from on-premises software approaching the end of its life to the cloud with minimal modifications. Compare that to renewing expensive licenses or hiring experienced talent to regularly secure, stabilize, and service obsolete components. Migrate data and applications immediately from expensive hardware. You can rehost your applications at a lower cost in the cloud than purchasing new hardware that costs a lot to run and maintain. You want to migrate off-the-shelf applications. You can’t rearchitect those, so the only real alternative is to move them as-is to the cloud. You need less-costly, more-scalable backup and disaster recovery. Transitioning backups from on-premises to the cloud is a common use case in all but the most heavily regulated industries. Is Lift and Shift Right for You? Before any lift and shift migration, carefully assess and prepare for factors that can impact the difficulty, cost, and ultimate value of the undertaking. These can include but are not limited to the following: Application lifespan: How much longer will you continue using this application or running this workload? In most cases, it doesn’t make sense to migrate an application you’ll be retiring within the next 12 months. API restrictions: Make sure your move to the cloud won’t result in bottlenecks for your current API tools. Migration partner: Identify whether your cloud hosting provider offers any automated tools for migrations. A cloud data migration strategy should involve using tools to automate and streamline the process of moving data from an existing storage system to the cloud. The major cloud providers have an array of such cloud migration tools available, and there are even more third-party vendors to choose from. Migration priority: Which data needs to be migrated and when? If you’re planning to migrate multiple applications, ensure that mission-critical applications are migrated first. Compliance: Before migrating from your private, on-premises environment to a private or public cloud, evaluate your migration plan and the cloud provider’s infrastructure. This will ensure all compliance requirements will be met during and after the migration. Conclusion Sesame Software has the capabilities and expertise to make any cloud migration seamless, cost-effective, and easy. This allows you to realize the speed and scalability of the cloud while you transform at your own pace. Choosing your migration method is an integral part of making a migration plan. Of all the methods for migrating to the cloud, the lift and shift approach remains the fastest, easiest, lowest-risk, and least expensive way to operate in the cloud. However, making the most of a lift and shift migration strategy requires using the right tools. Cloud migration that is fast, secure, and automated as your data grows Seamless migration of your applications, data, and workloads to a cloud-based environment Patented hyper-threaded technology ensures the fastest possible data movement with no downtime To learn more about lift and shift migration strategies and how to maximize the potential of your applications when operating in the cloud, book a complimentary demo with one of our data experts today! Lift and shift, migrate and modernize your workloads more easily with Sesame Software.

Source: Oracle Cloud Infrastructure Blog Migrating to the cloud involves moving critical workloads from on-premise and co-located hardware to a cloud provider. Moving your workloads to the cloud allows you to manage IT infrastructure remotely without the security risk, inconvenience, and cost of maintaining on-premise hardware. Oracle Cloud Infrastructure (OCI) is built for enterprises seeking higher performance, consistently lower costs, and easier cloud migration for their existing on-premises applications. When considering moving your various application data from on-premises to Oracle Cloud, it is important to assess what data needs to be migrated and select an appropriate data transfer method. Migrating to OCI leads to excellent flexibility, reliability, and security. Since you can achieve a lower Total Cost of Ownership (TCO) than many providers (due to their advanced compute and 2nd generation cloud), it is a high-value selection and an excellent starting point for your Cloud journey. Benefits of Moving to Oracle Cloud Performance Increased flexibility and reliability when you run your applications on Oracle Cloud High performance at a lower cost than deployments running on-premises or other cloud infrastructures Shared infrastructure that empowers your entire business to run faster and scale up (or down) to meet peak compute demands with ease Security Enterprise-grade security at every level of the stack, ensuring user isolation, and data encryption at every stage of the life cycle Fine-grained security controls, compliance, and visibility through comprehensive log data and monitoring solutions Personalized Solutions and Cost Savings Comprehensive database migration services, so there will be one that exactly matches your requirements Hardware cost savings, increased business flexibility, and greater efficiencies in the short- and long-term In essence, the flexibility of Oracle Cloud provides the scalable infrastructure, development capabilities, hardware, and software options that support your business. Thus, allowing you to create and utilize the agile innovation to keep your company competitive for years to come. Moving Workloads to the Cloud Just Got Easier Oracle Cloud has the only marketplace which offers click-to-deploy solutions for Oracle in addition to certified and optimized partner solutions. The Oracle Cloud Marketplace (OCM) enables customers to build and run a wide range of applications in a scalable, secure, highly available, and high-performance environment. On the OCM, you can quickly locate and deploy services and solutions to support you in your journey from on-premise to Cloud. This can be for migrating to Oracle Cloud Infrastructure or another pillar of the cloud. Services will vary by provider/vendor. Additionally, these services are becoming increasingly popular as companies begin to recognize that the prospect of migrating to the cloud is no easy task. Oracle customers recognize the need to invest in services to reduce the risk of migration and set them up for success after. It Takes the Right Partner If you’re ready to improve your competitive edge by increasing your company’s agility, you’re ready to move to Oracle Cloud. Oracle Cloud solutions enable your company to run your business the way you want, at the cost and performance you prefer. However, to access the full benefits of Oracle Cloud, you need a partner to help you accelerate your cloud journey! Sesame Software’s Data Management Platform, Sesame Software, can migrate your application data to Oracle Cloud Infrastructure with ease. There is no need for data modeling, mapping, or coding. In addition, Relational Junction can manage your workload migration to ensure cost savings, time savings, and increased efficiency and agility without re-architecting your solutions! Sesame Software’s enterprise SQL-based solutions have been tested and verified on the Oracle Cloud Infrastructure. Customers can move their data with confidence as Sesame Software is supported by the Oracle Cloud Infrastructure SLA guarantee. This achievement ensures they have full access and control over their cloud infrastructure services as well as consistent performance. Deploying On the Oracle Cloud Marketplace Sesame Software’s participation in Oracle Cloud Marketplace’s simplified software purchasing and enhanced billing system allows customers to purchase Sesame Software and Oracle Cloud Infrastructure, all in one unified bill. Sesame Software’s participation in the OCM further extends our commitment to the Oracle community and provides added value to data-reliant organizations of all sizes. Sesame Software can be directly installed from the Oracle Cloud Marketplace into your OCI tenancy and can be purchased with Oracle Universal Credits to make the entire transaction as seamless as possible. Take Advantage of Oracle Cloud Benefits Immediately Interested in a fast, error-free application migration that can help your company take advantage of Oracle Cloud benefits in less than an hour? Sesame Software can be purchased directly via the Oracle Cloud Marketplace. Schedule a free demo today! Learn more about Sesame Software and Oracle’s Partnership. Original Source: Oracle Cloud Infrastructure Blog