Comparison

Etlworks vs Boomi

Boomi is a mature iPaaS that added real ELT and log-based CDC by acquiring Rivery. Etlworks still covers more ground in one platform — EDI, wildcard bulk processing, and unlimited endpoints on every tier.

The verdict

When each tool fits.

When Etlworks fits better

  • You need real ETL transformations beyond integration mappings
  • You need CDC and real-time streaming, not just integration triggers
  • Predictable per-tier pricing beats per-connection billing
  • You want unlimited endpoints in every plan
  • Your team is too small for a Boomi center of excellence

Where they’re equal

  • Cloud-native iPaaS deployment
  • Visual integration designer (Boomi AtomSphere ↔ Etlworks Composer)
  • B2B/EDI and API support
  • Enterprise compliance certifications
  • Hybrid cloud architecture

When Boomi fits better

  • You're already invested in the Boomi ecosystem
  • You need Boomi MDM (Master Data Hub)
  • You want iPaaS, API management, and ELT from one vendor
  • You need very deep workflow approval and process automation
  • You require Boomi-specific partner connectors

Feature breakdown

Side by side.

Capability Etlworks Boomi
Pricing & commercial
Starting price (monthly)$300Per-connection (annual contracts)
Pricing modelFixed per tierPer-connection licensing
Integration scope
Sources260+Broad
ETL capabilitiesETL, ELT, Reverse ETL, wildcard processingPartial — iPaaS mappings
API managementFullBoomi API
On-prem deploymentAtoms
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 and interval scheduling
Event-driven triggersHTTP listeners and webhooks, message queues, file and email eventsAPI and message-based triggers
Continuous executionlooping schedules for CDC and queue consumerslong-running listeners and services
Visual workflow builderComposer canvas, 200+ flow typesvisual process designer
Nested workflowsnested flows with conditional and looped stepssub-processes and reusable components
Run external toolsshell and SSH scripts, CLI, JavaScript, Python, SQL, HTTP callsPartial — script and command components
Parallel executionoverlapping schedules run as independent, separately cancellable instancesparallel branches
Retries and error handlingper-step exception handling with notificationsretry, error handlers, dead letter
Run monitoringper-schedule status, run history, automatic Flow Findings reportsprocess dashboards and alerts
CDC & Streaming
CDC engineDebezium-compatible, built-in (no Kafka required)Log-based CDC via Boomi Data Integration (formerly Rivery)
Database CDC sourcesMySQL, Postgres, SQL Server, Oracle, MongoDB, DB2, othersOracle, SQL Server, PostgreSQL, MySQL, MongoDB
Streaming queuesKafka, EventHubs, Kinesis, SQS, PubSub, ActiveMQ, RabbitMQKafka, JMS, AMQP
IoT brokersMQTT brokers
Real-time replicationLog-based CDC, full, incrementalELT and CDC pipelines, event-driven
Change tracking modesLog-based, trigger-based, timestamp/high-watermarkLog-based, incremental, polling, event-driven
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 BAAenterprise agreements
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 chatBoomi AI / Boomi Agent Designer
Agent capabilitiesReads metadata, reads/samples data, writes JS & SQL, schedules, deploys, monitorsBuild integrations, suggest mappings, generate docs
Natural-language flow building‘Vibe-build’ — create flows by describing what you want
AI-driven mappingAuto-suggests source-to-destination mappingsBoomi Suggest (long-standing)
Built-in analyticsAgent runs analysis on flow data and pipeline behaviorPartial
Chat across productSame agent context on every screenPartial
CLI for agentFull CLI access for run/deploy/monitor/manage
Trains on customer dataNeverNot by default