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
  • Job orchestration with shell and script steps

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
Transformations
Visual mappingdrag-and-drop designer with live previewvisual mapper
Scripting languagesSQL, JavaScript, Python, XSLT, shellJavaScript, Java, SQL, shell
Nested and hierarchical dataJSON, XML, Avro, Parquet — read, write, normalize, flatten by draggingJSON and XML, varying depth
Warehouse pushdown (ELT)transform before load or in the warehouse, same engine
Reusable logicmacros, templates, and 3,900+ prebuilt flow templatesreusable components and templates
Lookups and enrichmentLookup Builder for cross-source lookupslookup components
Data validationvalidation rules with per-step error handlingvalidation and cleansing components
Orchestration & workflow
SchedulingCron expressions and fixed intervals, with per-schedule parametersCron scheduling in the server, or an external scheduler
Event-driven triggersHTTP listeners and webhooks, message queues, file and email eventsPartial — file and message triggers
Continuous executionlooping schedules for CDC and queue consumersPartial — long-running transformations
Visual workflow builderComposer canvas, 200+ flow typesSpoon jobs and transformations
Nested workflowsnested flows with conditional and looped stepsjobs calling jobs and transformations
Run external toolsshell and SSH scripts, CLI, JavaScript, Python, SQL, HTTP callsShell, SQL, and script job entries
Parallel executionoverlapping schedules run as independent, separately cancellable instancesparallel steps and hops
Retries and error handlingper-step exception handling with notificationserror hops and retry entries
Run monitoringper-schedule status, run history, automatic Flow Findings reportsserver run history
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
Developer experience
REST APIfull API for flows, connections, schedules, and runs
CLIfull CLI with built-in SQL
MCP serverbuilt-in — connect Cursor, Claude, or ChatGPT to your instance
Client librariesPython, Bash, and PowerShell clientsPartial — vendor SDKs
Version controlbuilt-in — automatic history, diff, and revert on every artifactproject versioning and promotion
Embeddable / white-labelPartial — OEM agreements
Compliance & security
SOC 2 Type 2audited; report under NDA, SOC 3 publicPartial — enterprise edition, not community
HIPAAsupported with a BAAenterprise agreements
GDPR / DPAcompliant, DPA available
SSO and MFASAML SSO, optional 2FA, JWT stateless authSAML and directory integration
Role and artifact-level accesssix roles plus tag-based scoping of flows, connections, and schedulesrole and project-level access
Encryption and data handlingTLS in transit, encrypted at rest, customer-managed PGP, SSH tunnels, IP allowlisting; rows are not persisted by defaultencrypted in transit and at rest
Audit loggingadmin actions logged, access logs monitored
Security testingmonthly vulnerability and penetration scans, static analysis blocking every build, periodic third-party auditsvendor-managed
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