Comparison

Etlworks vs Stitch

Stitch is a lightweight Singer-based data extraction tool now part of the Talend stack. Etlworks delivers full ETL plus CDC, APIs, and EDI in one platform — with on-prem deployment when you need it.

The verdict

When each tool fits.

When Etlworks fits better

  • You need ETL/ELT, not just simple data extraction
  • You need CDC and real-time streaming
  • You need API integration or EDI processing
  • You need on-prem or hybrid deployments
  • You want a built-in AI agent that builds and edits flows from chat

Where they’re equal

  • Cloud warehouse loading (Snowflake, BigQuery, Redshift)
  • Source connector breadth for SaaS apps
  • Self-service onboarding
  • SOC 2 compliance
  • Simple, scheduled data syncs

When Stitch fits better

  • You only need lightweight Singer-based data extraction
  • You want the simplest possible pricing model
  • Your team can extend Singer taps for custom sources
  • You don't need transformations at all (pure E and L)
  • Your needs are 100% covered by Stitch's existing taps

Feature breakdown

Side by side.

Capability Etlworks Stitch
Pricing & commercial
Starting price (monthly)$300$100 (Standard)
Pricing modelFixed per tierRow-volume tiers
Integration scope
Sources260+140+ taps
ETL capabilitiesETL, ELT, Reverse ETL, wildcard processingEL only (Singer taps)
API managementFull
On-prem deployment
CDC & Streaming
CDC engineDebezium-compatible, built-in (no Kafka required)Partial — primarily extraction via Singer taps
Database CDC sourcesMySQL, Postgres, SQL Server, Oracle, MongoDB, DB2, othersPostgres, MySQL (basic)
Streaming queuesKafka, EventHubs, Kinesis, SQS, PubSub, ActiveMQ, RabbitMQ
IoT brokersMQTT brokers
Real-time replicationLog-based CDC, full, incrementalPolling-based, not log-based
Change tracking modesLog-based, trigger-based, timestamp/high-watermarkIncremental keys
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 behavior
Chat across productSame agent context on every screen
CLI for agentFull CLI access for run/deploy/monitor/manage
Trains on customer dataNeverNot by default