Comparison

Etlworks vs Hevo Data

Hevo is a no-code data pipeline tool with strong UX for SaaS-to-warehouse syncs. Etlworks adds full ETL, API integration, EDI, and on-prem deployment with predictable per-tier pricing.

The verdict

When each tool fits.

When Etlworks fits better

  • You need full ETL transformations, not just no-code transformations
  • You need API integration, EDI, or B2B workflows
  • You need on-prem or hybrid deployments
  • You need real-time streaming beyond CDC
  • Fixed pricing tiers beat event-based billing for variable volumes

Where they’re equal

  • Cloud-native data pipeline platform
  • 150+ pre-built connectors
  • Real-time CDC support
  • Schema management and auto-mapping
  • Self-service onboarding

When Hevo Data fits better

  • Your only use case is SaaS-to-warehouse data sync
  • You prefer event-based pricing for low-volume workloads
  • You need very specific Hevo connectors not in Etlworks
  • You want India-region cloud hosting specifically
  • You prefer Hevo's UX for simple no-code pipelines

Feature breakdown

Side by side.

Capability Etlworks Hevo Data
Pricing & commercial
Starting price (monthly)$300$239 (Starter)
Pricing modelFixed per tierEvent-volume tiers
Integration scope
Sources260+150+
ETL capabilitiesETL, ELT, Reverse ETL, wildcard processingPartial — No-code transforms
API managementFull
On-prem deployment
CDC & Streaming
CDC engineDebezium-compatible, built-in (no Kafka required)Native CDC
Database CDC sourcesMySQL, Postgres, SQL Server, Oracle, MongoDB, DB2, othersMySQL, Postgres, SQL Server, MongoDB
Streaming queuesKafka, EventHubs, Kinesis, SQS, PubSub, ActiveMQ, RabbitMQKafka
IoT brokersMQTT brokers
Real-time replicationLog-based CDC, full, incrementalLog-based CDC, full, incremental
Change tracking modesLog-based, trigger-based, timestamp/high-watermarkLog-based
Gen AI
AI agentBuilt-in agent (Simba) — builds and edits flows from chatPartial — AI-powered features
Agent capabilitiesReads metadata, reads/samples data, writes JS & SQL, schedules, deploys, monitorsSchema mapping suggestions, error diagnosis
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