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In the meantime, check out these featured resources
Do you have questions about how our solution would work for you? Learn more about data warehousing, integration, and more below!


Realistic Objectives for AI Projects: Why AI Readiness Depends on Understanding Your Business
AI initiatives don’t fail because of bad models. They fail because objectives, data, and business processes aren’t clearly understood first. In this thought-leadership piece, Sesame Software CEO Rick Banister explains why AI should be treated as a tool, not a goal, and how examining data quality and workflows during the discovery phase often delivers more value than deploying AI itself.

Sesame Software
5 min read


Take Control of Your Data: Effective Data Management Best Practices
When data is messy or inaccessible, it becomes a source of risk and cost. Good practices increase accuracy, protect sensitive information, make data discoverable, and ensure regulatory compliance, all while saving time and money.

Sesame Software
3 min read


Building AI Readiness: How Leading Enterprises Prioritize the Right Initiatives with the Right Tools
AI is now part of every conversation. CIOs are being asked where AI fits, how fast it can be deployed, and what needs to happen first. But as with any new technology wave, not every problem is an AI problem.

Sesame Software
3 min read


Understanding Data Security Compliance: Take Control of Your Data
Managing data securely is both a responsibility and a competitive differentiator. Organizations that embed compliance into their data strategy build trust, improve resiliency, and stay audit-ready. Discover practical steps and modern tools that make data protection simpler and smarter.
David Estrada
4 min read


Sesame Software Offers Stability Amid Rising Backup and Recovery Costs
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.
David Estrada
2 min read


The Struggle for Relevance and ROI in AI Adoption
It’s been three years since ChatGPT’s public debut—a milestone that seemed to bring the Turing Test within reach. Yet, rather than fearing a Skynet-style future, most of us are grappling with a more mundane problem: what exactly to do with this new toolset.
David Estrada
4 min read
Frequently Asked Questions
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Yes. Our team can build new JDBC connectors using partner-provided drivers or your own JDBC driver with our generic JDBC template. This allows us to quickly extend support to virtually any system with a compliant interface—no need to wait for a native connector release.
We support a wide range of export formats to fit your business and analytics needs. Data can be delivered as flat files (CSV, TSV, or custom-delimited), relational database tables, cloud object storage (S3, Azure Blob, Google Cloud Storage), or directly into data warehouse destinations like Snowflake, BigQuery, or Amazon Redshift. Custom formatting and schema mapping are also available.
Yes. We ensure that your exported data is compatible with leading reporting and analytics platforms. Data can be structured and formatted to import seamlessly into tools such as Tableau, Power BI, Snowflake, or Looker. Flat files can be customized with your preferred delimiters, headers, and encoding for smooth integration with your existing workflows.
Our migration process is designed for speed, transparency, and control:
1. Connect & Configure: Use our intuitive interface to connect your endpoints, define mappings, and set export parameters.
2. Extract & Structure: We securely extract your data—preserving metadata, relationships, and history—and organize it into your chosen format or destination.
3. Automate or Export: Run a one-time migration or schedule recurring syncs. Every export is secure, auditable, and fully configurable for your ongoing data needs.
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