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Connector Information
Sesame Software’s Amazon S3 JDBC connector allows SQL-based access to files stored in S3 buckets. Use it to manage and query structured or semi-structured data as part of a hybrid ETL or analytics pipeline.
Use Cases
Data Archiving
Write large data sets to S3 for long-term, cost-effective storage.Data Warehousing
Extract files from S3 and move them into Snowflake or Redshift for centralized reporting and analysis.
Questions?
We're always happy to help with any other questions you might have! Please send us an email at sales@sesamesoftware.com.
Data Types Supported:
Source, Target
Available Tool(s):
ETL, Data Replication
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