Comparison

Etlworks vs Zapier

Zapier is the consumer-friendly no-code automation tool with the broadest app catalog. Etlworks is the production data engineering platform — ETL/ELT, CDC, APIs, EDI — for engineering teams.

The verdict

When each tool fits.

When Etlworks fits better

  • You need data engineering, not lightweight task automation
  • You need to handle databases, warehouses, and APIs at scale
  • You need real-time streaming and CDC
  • You need to handle large data volumes (millions of rows, not 100s of tasks)
  • You need EDI, transformations, and complex pipelines

Where they’re equal

  • Visual workflow builder
  • Self-service onboarding
  • Cloud-native architecture
  • Pre-built templates for common workflows
  • Compliance with major standards

When Zapier fits better

  • Your needs are lightweight task automation between SaaS apps
  • You need 6,000+ specific app integrations
  • Your users are non-technical individuals
  • Your workflows are simple if-this-then-that triggers
  • You need consumer-friendly per-task pricing

Feature breakdown

Side by side.

Capability Etlworks Zapier
Pricing & commercial
Starting price (monthly)$300$19.99 (Starter)
Pricing modelFixed per tierPer-task tiers
Integration scope
Sources260+6,000+ apps
ETL capabilitiesETL, ELT, Reverse ETL, wildcard processing
API managementFull
On-prem deployment
CDC & Streaming
CDC engineDebezium-compatible, built-in (no Kafka required)task automation, not data replication
Database CDC sourcesMySQL, Postgres, SQL Server, Oracle, MongoDB, DB2, others
Streaming queuesKafka, EventHubs, Kinesis, SQS, PubSub, ActiveMQ, RabbitMQ
IoT brokersMQTT brokers
Real-time replicationLog-based CDC, full, incrementalEvent-driven (webhooks, polling)
Change tracking modesLog-based, trigger-based, timestamp/high-watermarkPolling, webhook
Gen AI
AI agentBuilt-in agent (Simba) — builds and edits flows from chatZapier Agents, Zapier Copilot
Agent capabilitiesReads metadata, reads/samples data, writes JS & SQL, schedules, deploys, monitorsBuild Zaps from natural language, run AI tasks
Natural-language flow building‘Vibe-build’ — create flows by describing what you want
AI-driven mappingAuto-suggests source-to-destination mappingsPartial
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