Redis Data Integration release notes 1.14.0 (August 2025)
New RDI API v2 with enhanced pipeline management. Improved Oracle RAC support with configuration scaffolding. Enhanced metrics and monitoring capabilities. Better TLS/mTLS support across components.
RDI’s mission is to help Redis customers sync Redis Enterprise with live data from their slow disk-based databases to:
- Meet the required speed and scale of read queries and provide an excellent and predictable user experience.
- Save resources and time when building pipelines and coding data transformations.
- Reduce the total cost of ownership by saving money on expensive database read replicas.
RDI keeps the Redis cache up to date with changes in the primary database, using a Change Data Capture (CDC) mechanism. It also lets you transform the data from relational tables into convenient and fast data structures that match your app's requirements. You specify the transformations using a configuration system, so no coding is required.
What's New in 1.14.0
- Added support for Google Cloud Spanner databases:
- Compatible with both Google SQL and PostgreSQL dialects
- Secure data collection through Apache Flink with built-in TLS/mTLS support
- Fixing: MariaDB TLS connection not working when using TLS to the RDI database
- Introduced RDI operator metrics for better monitoring and troubleshooting of the work of the operator
- The
redis-di status
command now shows a detailed breakdown of the processor processing times:- Separate
Transform time
metric showing how long data transformations take - Distinct
Write time
metric indicating Redis write operation duration
- Separate
Limitations
RDI can write data to a Redis Active-Active database. However, it doesn't support writing data to two or more Active-Active replicas. Writing data from RDI to several Active-Active replicas could easily harm data integrity as RDI is not synchronous with the source database commits.