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Use case

Cache & search sync

TwinCommit keeps caches and search indexes consistent with the system of record by streaming every committed change into Redis and Elasticsearch, so applications never need dual writes or cache-invalidation code.

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Outcomes

✓No dual writes in application code

✓Search results that reflect committed data in seconds

✓Out-of-order writes rejected with log-position versioning

How it works

Cache & search sync with TwinCommit

  1. 1

    Capture

    Read committed changes from the source database log.

  2. 2

    Shape

    Map rows to Redis keys or Elasticsearch documents by primary key.

  3. 3

    Apply

    Write in commit order, with versioning that rejects stale updates.

Common routes for cache & search sync

→PostgreSQL → Redis→MySQL → Redis→Oracle → Elasticsearch→MySQL → Elasticsearch→MongoDB → Elasticsearch

More use cases

Zero-downtime migrationReal-time lakehouseMainframe offloadDisaster recoveryLegacy modernization

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