Comparison

Etlworks vs Debezium

Debezium is the open-source CDC engine running on Kafka Connect. Etlworks gives you Debezium-compatible CDC plus full ETL, orchestration, and destinations beyond Kafka — fully managed.

The verdict

When each tool fits.

When Etlworks fits better

  • You want a managed CDC engine, not Kafka Connect plumbing
  • You need CDC plus ETL plus orchestration in one tool
  • You don't want to maintain Kafka, Kafka Connect, or schema registry
  • You need destinations beyond Kafka topics
  • You want a built-in AI agent that builds and edits flows from chat

Where they’re equal

  • Log-based CDC for major databases
  • Open-source compatibility (Etlworks is Debezium-compatible)
  • Schema evolution handling
  • Multiple database source support
  • High-volume change capture

When Debezium fits better

  • You want fully open-source with no vendor relationship
  • You have deep Kafka expertise on staff
  • You're publishing CDC events to Kafka for many downstream consumers
  • You need maximum customization at the connector level
  • Self-hosted is a hard requirement

Feature breakdown

Side by side.

Capability Etlworks Debezium
Pricing & commercial
Starting price (monthly)$300Free (OSS, infra cost only)
Pricing modelFixed per tierOSS — self-host on Kafka Connect
Integration scope
Sources260+MySQL, Postgres, MongoDB, Oracle, SQL Server, Db2, Cassandra, Vitess
ETL capabilitiesETL, ELT, Reverse ETL, wildcard processingCDC only
API managementFull
On-prem deploymentSelf-host
CDC & Streaming
CDC engineDebezium-compatible, built-in (no Kafka required)Open-source Debezium (the gold standard)
Database CDC sourcesMySQL, Postgres, SQL Server, Oracle, MongoDB, DB2, othersMySQL, Postgres, SQL Server, MongoDB, Oracle, DB2, Cassandra
Streaming queuesKafka, EventHubs, Kinesis, SQS, PubSub, ActiveMQ, RabbitMQKafka (primary), Pulsar
IoT brokersMQTT brokers
Real-time replicationLog-based CDC, full, incrementalLog-based CDC only — that’s its entire job
Change tracking modesLog-based, trigger-based, timestamp/high-watermarkLog-based
Gen AI
AI agentBuilt-in agent (Simba) — builds and edits flows from chatopen-source library — no AI features
Agent capabilitiesReads metadata, reads/samples data, writes JS & SQL, schedules, deploys, monitors
Natural-language flow building‘Vibe-build’ — create flows by describing what you want
AI-driven mappingAuto-suggests source-to-destination mappings
Built-in analyticsAgent runs analysis on flow data and pipeline behavior
Chat across productSame agent context on every screen
CLI for agentFull CLI access for run/deploy/monitor/manage
Trains on customer dataNeverN/A