Comparison

Etlworks vs Integrate.io

Integrate.io provides ETL/ELT for cloud warehouses. Etlworks delivers broader integration scope — APIs, EDI, streaming, on-prem — in one platform.

The verdict

When each tool fits.

When Etlworks fits better

  • You need broader connectivity beyond ETL/ELT
  • You need API management, not just API integration
  • Predictable per-tier pricing beats per-connector billing
  • You need EDI or B2B file processing
  • You need real-time streaming and message queues

Where they’re equal

  • Cloud-based ETL/ELT platform
  • CDC for major databases
  • Visual pipeline designer
  • SaaS connector coverage
  • SOC 2 compliance

When Integrate.io fits better

  • Your team prefers Integrate.io's specific UX
  • You're already invested in their connector library
  • You need their specific Salesforce-centric tooling
  • You prefer their pricing model for your specific volumes
  • You require very tight integration with their existing customer setup

Feature breakdown

Side by side.

Capability Etlworks Integrate.io
Pricing & commercial
Starting price (monthly)$300Contact sales
Pricing modelFixed per tierPer-connector + volume
Integration scope
Sources260+200+
ETL capabilitiesETL, ELT, Reverse ETL, wildcard processingETL/ELT
API managementFullPartial — API generation
On-prem deployment
Transformations
Visual mappingdrag-and-drop designer with live previewvisual mapper
Scripting languagesSQL, JavaScript, Python, XSLT, shellSQL and the platform's own expression or script language
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 per package
Event-driven triggersHTTP listeners and webhooks, message queues, file and email events
Continuous executionlooping schedules for CDC and queue consumersPartial — continuous sync on higher tiers
Visual workflow builderComposer canvas, 200+ flow typesdataflow designer
Nested workflowsnested flows with conditional and looped stepsPartial — package dependencies
Run external toolsshell and SSH scripts, CLI, JavaScript, Python, SQL, HTTP calls
Parallel executionoverlapping schedules run as independent, separately cancellable instancesPartial — connectors sync independently
Retries and error handlingper-step exception handling with notificationsautomatic retry on sync failure
Run monitoringper-schedule status, run history, automatic Flow Findings reportssync logs and alerts
CDC & Streaming
CDC engineDebezium-compatible, built-in (no Kafka required)Native CDC for select sources
Database CDC sourcesMySQL, Postgres, SQL Server, Oracle, MongoDB, DB2, othersMySQL, Postgres, SQL Server
Streaming queuesKafka, EventHubs, Kinesis, SQS, PubSub, ActiveMQ, RabbitMQ
IoT brokersMQTT brokers
Real-time replicationLog-based CDC, full, incrementalLog-based CDC, full, incremental
Change tracking modesLog-based, trigger-based, timestamp/high-watermarkLog-based
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 public
HIPAAsupported with a BAAoffered with a BAA
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, monitorsAuto-mapping suggestions
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