Data Mirror vs Debezium + Kafka Connect

Full CDC power without running Kafka

Debezium + Kafka Connect is the battle-tested way to stream database changes to Elasticsearch — but it means operating Kafka, Connect workers and connectors. Data Mirror gives real-time CDC to search in a single container.

Why Data Mirror

No Kafka to operate — Debezium is built on Kafka; Data Mirror is a single container
Meilisearch and OpenSearch first-class sinks, not just Elasticsearch
Built-in monitoring and dead-letter queue
Much simpler operational surface for a single search index use case

Where Debezium + Kafka Connect wins

Debezium handles extremely high throughput and huge scale better
Debezium supports far more source databases and ecosystem integrations
If you already run Kafka, Debezium slots into your existing stack

Side-by-side

Aspect	Data Mirror	Debezium + Kafka Connect
Operational complexity	Single Docker container	Kafka + Connect + connectors
Throughput ceiling	High (single-node)	Very high (distributed)
Source databases	PostgreSQL, MySQL	Postgres, MySQL, SQL Server, Oracle, MongoDB, more
Monitoring	Built-in dashboard	Bring your own (JMX, Grafana)
Setup time	Minutes	Hours to days

Try Data Mirror yourself

Read the docs, run the interactive tutorial, then decide — one-time $49 licence, 14-day refund on Gumroad.

Other comparisons

Data Mirror vs PGSync

The closest open-source alternative — minus the Kafka, plus monitoring

Data Mirror vs Estuary Flow

Self-hosted simplicity vs a managed pipeline service

Data Mirror vs Logstash + JDBC Input

Real-time CDC vs periodic polling

Back to Data Mirror

Real-time CDC sync for PostgreSQL, MySQL → Meilisearch, Elasticsearch, OpenSearch