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 continuous and parallel scheduled runs, not sequential task steps
  • You need EDI, transformations, and complex pipelines

Where they’re equal

  • Visual workflow builder
  • Self-service onboarding
  • Event-driven triggers and webhooks
  • Pre-built templates for common workflows
  • Retry and error handling on every step

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
Transformations
Visual mappingdrag-and-drop designer with live previewPartial — field mapping per step
Scripting languagesSQL, JavaScript, Python, XSLT, shellJavaScript or Python in code steps
Nested and hierarchical dataJSON, XML, Avro, Parquet — read, write, normalize, flatten by draggingPartial — JSON per item, no bulk flattening
Warehouse pushdown (ELT)transform before load or in the warehouse, same engine
Reusable logicmacros, templates, and 3,900+ prebuilt flow templatesreusable sub-workflows
Lookups and enrichmentLookup Builder for cross-source lookupsPartial — lookup via extra API calls
Data validationvalidation rules with per-step error handlingPartial — conditional branches
Orchestration & workflow
SchedulingCron expressions and fixed intervals, with per-schedule parametersInterval schedules, minimum depends on plan
Event-driven triggersHTTP listeners and webhooks, message queues, file and email eventswebhooks and app triggers — the primary model
Continuous executionlooping schedules for CDC and queue consumersPartial — polling triggers
Visual workflow builderComposer canvas, 200+ flow typesthe core of the product
Nested workflowsnested flows with conditional and looped stepsPartial — sub-Zaps on higher tiers
Run external toolsshell and SSH scripts, CLI, JavaScript, Python, SQL, HTTP callsPartial — Code steps in JavaScript or Python, no shell
Parallel executionoverlapping schedules run as independent, separately cancellable instancesPartial — steps run in order within a Zap; Zaps run independently
Retries and error handlingper-step exception handling with notificationsper-step retry and error branches
Run monitoringper-schedule status, run history, automatic Flow Findings reportsexecution history
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
Developer experience
REST APIfull API for flows, connections, schedules, and runs
CLIfull CLI with built-in SQLPartial — CLI for building your own app integrations
MCP serverbuilt-in — connect Cursor, Claude, or ChatGPT to your instance
Client librariesPython, Bash, and PowerShell clientsPartial — community SDKs
Version controlbuilt-in — automatic history, diff, and revert on every artifactPartial — change history, no diff or revert
Embeddable / white-labelZapier Embed
Compliance & security
SOC 2 Type 2audited; report under NDA, SOC 3 public
HIPAAsupported with a BAAPartial — higher tiers only
GDPR / DPAcompliant, DPA available
SSO and MFASAML SSO, optional 2FA, JWT stateless authPartial — enterprise tier
Role and artifact-level accesssix roles plus tag-based scoping of flows, connections, and schedulesPartial — role-based, no artifact-level scoping
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 monitoredPartial — enterprise tier
Security testingmonthly vulnerability and penetration scans, static analysis blocking every build, periodic third-party auditsvendor-managed, details on request
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