Comparison

Etlworks vs Funnel.io

Funnel.io is a marketing analytics data unification tool. Etlworks delivers general-purpose data integration — ETL, CDC, APIs, EDI — across the entire enterprise stack.

The verdict

When each tool fits.

When Etlworks fits better

  • You need broader integration scope beyond marketing analytics
  • You need ETL transformations, not just marketing data unification
  • You need on-prem or hybrid deployments
  • You need data movement across teams, not just marketing
  • You need real orchestration, not a reporting refresh schedule

Where they’re equal

  • Marketing data integration capabilities
  • Cloud-based architecture
  • Scheduled data syncs
  • Schema management
  • Self-service onboarding

When Funnel.io fits better

  • Your only use case is marketing analytics consolidation
  • You need Funnel's specific ad platform connectors
  • Your team is in marketing operations, not engineering
  • You need Funnel's reporting and visualization tools
  • Marketing data unification is a strategic priority

Feature breakdown

Side by side.

Capability Etlworks Funnel.io
Pricing & commercial
Starting price (monthly)$300Contact sales
Pricing modelFixed per tierSource-volume tiers
Integration scope
Sources260+500+ marketing/ad sources
ETL capabilitiesETL, ELT, Reverse ETL, wildcard processingPartial — Marketing-focused
API managementFull
On-prem deployment
Transformations
Visual mappingdrag-and-drop designer with live previewcolumn selection and renaming only
Scripting languagesSQL, JavaScript, Python, XSLT, shell
Nested and hierarchical dataJSON, XML, Avro, Parquet — read, write, normalize, flatten by draggingPartial — passes JSON through, unpacking happens downstream
Warehouse pushdown (ELT)transform before load or in the warehouse, same enginePartial — load raw, transform with another tool
Reusable logicmacros, templates, and 3,900+ prebuilt flow templates
Lookups and enrichmentLookup Builder for cross-source lookups
Data validationvalidation rules with per-step error handling
Orchestration & workflow
SchedulingCron expressions and fixed intervals, with per-schedule parametersSync frequency per connector
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 types
Nested workflowsnested flows with conditional and looped steps
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)marketing data scheduled extraction
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, incrementalScheduled batch
Change tracking modesLog-based, trigger-based, timestamp/high-watermarkScheduled refresh
Developer experience
REST APIfull API for flows, connections, schedules, and runs
CLIfull CLI with built-in SQLPartial — limited or community CLI
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-label
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 chat
Agent capabilitiesReads metadata, reads/samples data, writes JS & SQL, schedules, deploys, monitors
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 behaviormarketing analytics is core to Funnel
Chat across productSame agent context on every screen
CLI for agentFull CLI access for run/deploy/monitor/manage
Trains on customer dataNeverNot by default