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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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Bourne Leisure – Building a Modern Data Platform with HVR & Snowflake Watch this on-demand recording to hear from Jeremy Stancombe, Head of IT Architecture at Bourne Leisure on how they are using HVR and Snowflake to support the delivery of ...
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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Read more from our latest blog posts on best practices and trends in the data replication industry.