Apache Kafka is an open-source stream-processing software platform, written in Scala and Java. It provides a unified, high-throughput, low-latency platform for handling real-time data feeds.
The Kafka topic can be determined dynamically based on an environment variable like the table name, or configured to a set value. JSON and Avro are the most popular formats but others are supported as well. HVR integrates with schema registry and is Confluent verified.
 | 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. |
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Whether you’re moving your data to a data lake or data warehouse, from on-prem to the cloud, we support it.
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