Data Mirror vs Logstash + JDBC Input

Real-time CDC vs periodic polling

Logstash with the JDBC input plugin polls your database on a schedule. Data Mirror uses true Change Data Capture — every insert, update and delete streams in real time, with far less load on your source database.

Why Data Mirror

True real-time CDC — no polling delay, updates land in search instantly
Far lower load on the source database than repeated JDBC queries
Delete events captured correctly — polling misses deletes
Built-in monitoring dashboard

Where Logstash + JDBC Input wins

Logstash is free and battle-tested at large scale
Logstash integrates natively with the Elastic stack
If near-real-time (not instant) is acceptable, polling is simpler to reason about

Side-by-side

Aspect	Data Mirror	Logstash + JDBC Input
Sync mechanism	True CDC (transaction log)	Polling (scheduled JDBC queries)
Source DB load	Minimal (WAL/binlog)	High — repeated queries
Delete capture	Yes — real-time	No — deletes missed
Real-time latency	Sub-second	Poll interval dependent
Ecosystem fit	Any search engine	Elastic stack native

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 Debezium + Kafka Connect

Full CDC power without running Kafka

Data Mirror vs Estuary Flow

Self-hosted simplicity vs a managed pipeline service

Back to Data Mirror

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