The modern Debezium alternative
for log-based CDC.
TwinCommit is a log-based CDC engine that teams evaluate as a Debezium alternative when they want transactional, exactly-once delivery straight into a database or lakehouse, without operating a Kafka Connect cluster in between.
TwinCommit at a glance
- 0 objectsinstalled in your source database
- Exactly-oncecheckpoint commits with the data
- 1 binaryno JVM, manager or agents
- 22 connectorscovering the top 15 databases
- MCP serveroperate it from Claude, Copilot or Cursor
Why teams choose TwinCommit
What you get when you move off Debezium
Kafka optional
Write directly to PostgreSQL, SQL Server, Databricks, Hive or Snowflake, or to Kafka when you want events.
Transactions, not just rows
Changes are applied per source transaction in commit order, never half-applied.
Db2 and Oracle as first-class sources
Native log readers for enterprise databases, not only open-source engines.
Supported product
Commercial support with SLAs, plus an MCP server for operations.
Evaluation checklist
Questions to ask in any Debezium evaluation
Here is how TwinCommit answers each one. Put the same questions to every vendor on your shortlist.
| Question | TwinCommit |
|---|---|
| What has to be installed or enabled inside the source database? | ✓Nothing beyond standard logging settings. No triggers, capture tables, shadow tables or stored procedures. |
| How is exactly-once delivery guaranteed after a crash? | ✓The checkpoint is committed in the same target transaction as the data, so a restart never loses or repeats a transaction. |
| Are transactions applied in source commit order? | ✓Yes. Changes are buffered per transaction and applied at commit, in commit order. Rolled-back work never reaches the target. |
| What runs on the replication host? | ✓One static binary. No JVM, no application server, no separate manager process. |
| Does one product cover relational, NoSQL, warehouse and streaming targets? | ✓Yes. Oracle, MySQL, SQL Server, PostgreSQL, MongoDB, Cassandra, Redis, Elasticsearch, Snowflake, Databricks, Synapse, BigQuery, Redshift, S3/ADLS/GCS data lakes, Spark, Hive and Kafka all use the same pipeline format. |
| How do operators manage it day to day? | ✓CLI, Prometheus metrics and a built-in MCP server, so you can check lag, restart pipelines and re-snapshot tables from Claude, Copilot or Cursor. |
| How is it licensed? | ✓Flat per source database. Not per core, not per row, and not per target. |
| How long to the first replicated row? | ✓Minutes: twincommit check, twincommit snapshot, twincommit run. |
Migration path
From Debezium to TwinCommit in three steps
No big-bang cutover. Your source database doesn't change.
- 1
Keep your topics
The Kafka target can emit a Debezium-compatible envelope so existing consumers keep working.
- 2
Swap the producer
Point TwinCommit at the same topics, verify, then stop the connector.
- 3
Go direct
Optionally remove the Kafka hop for database-to-database routes.
TwinCommit vs Debezium: FAQ
Can TwinCommit emit Debezium-format messages?
+
Yes. Set format: debezium on the Kafka target to emit the familiar before/after/op envelope.
Do I need Kafka to use TwinCommit?
+
No. Kafka is one target among many. Database and lakehouse targets are written directly.
More comparisons
Debezium is a trademark of Red Hat. TwinCommit is not affiliated with or endorsed by Red Hat. This page describes TwinCommit's capabilities. Ask each vendor to confirm how their product handles the questions above.
Run TwinCommit next to Debezium this week.
Download the free Developer edition, or have one of our replication engineers walk you through a migration plan.