Comparison

Etlworks vs Pentaho

Pentaho (Kettle/PDI) is a long-running open-source ETL tool now under Hitachi Vantara. Etlworks delivers managed cloud-native data integration with the same ETL power, plus CDC, APIs, and EDI.

The verdict

When each tool fits.

When Etlworks fits better

  • You want fully managed cloud, not self-hosted infrastructure
  • You need modern workflows like CDC and real-time streaming
  • You don't want to manage Java versions and Kettle dependencies
  • You need API integration and EDI processing
  • You want a built-in AI agent that builds and edits flows from chat

Where they’re equal

  • Powerful ETL transformation capabilities
  • Broad connector coverage
  • Custom scripting support
  • Enterprise compliance
  • Multi-environment deployment

When Pentaho fits better

  • You want fully open-source software (Kettle/PDI community edition)
  • You have deep Java expertise on staff
  • You need to self-host without vendor relationships
  • You have years of existing Kettle workflows
  • You need Pentaho's specific BI / reporting suite

Feature breakdown

Side by side.

Capability Etlworks Pentaho
Pricing & commercial
Starting price (monthly)$300Free (CE) / Contact sales (EE)
Pricing modelFixed per tierOSS or annual EE
Integration scope
Sources260+Broad (PDI)
ETL capabilitiesETL, ELT, Reverse ETL, wildcard processingMature ETL (Kettle)
API managementFull
On-prem deploymentSelf-host
CDC & Streaming
CDC engineDebezium-compatible, built-in (no Kafka required)Partial — via plugins
Database CDC sourcesMySQL, Postgres, SQL Server, Oracle, MongoDB, DB2, othersPostgres, MySQL via plugins
Streaming queuesKafka, EventHubs, Kinesis, SQS, PubSub, ActiveMQ, RabbitMQKafka via plugins
IoT brokersMQTT brokers
Real-time replicationLog-based CDC, full, incrementalMostly batch
Change tracking modesLog-based, trigger-based, timestamp/high-watermarkLog-based via plugins
Gen AI
AI agentBuilt-in agent (Simba) — builds and edits flows from chat
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 behaviorvia Pentaho BA Server
Chat across productSame agent context on every screen
CLI for agentFull CLI access for run/deploy/monitor/manage
Trains on customer dataNeverN/A