SAP HANA is an in-memory, column-oriented, relational database management system.
As a source, HVR supports both direct reading of the transaction logs, as well as reading just the transaction log backups. As a target, HVR supports HANA’s bulk load capability for optimum performance of data moving into HANA, with set-based SQL efficiently applying the changes to the actual target tables.
 | Key Features: See how change data capture, data validation and repair, and reporting all in one tool simplify data integration management. |
 | Table Creation and Initial Load. Mapping data between source and target is automated and made easy. |
 | Log-based Change Data Capture. Only the changes are moved between source and target, a low impact way to move data. |
 | Data Compare. Have assurance your data is accurate. HVR includes the ability to compare data before consumption. |
 | Insights: This tool gives you the ability to view how data is moving in real-time, be proactive and identify chokepoints. |
Interview from theCUBE HVR and Snowflake, Partners in the Cloud At AWS re:Invent 2019, HVR Partner, Chris Degan of Snowflake, and HVR CEO, Anthony Brooks-Williams, sat down with the hosts of theCUBE for a live chat about data movement, AWS, ...
Data Integration Architecture: Understanding Agents The question of whether or not to use an agent when performing data integration, especially around use cases with log-based Change Data Capture (CDC) and continuous, near real-time delivery, is common. In this video, HVR’...
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