Comparison

Etlworks vs Striim

Striim is a real-time streaming and CDC platform with deep Oracle heritage and a stream-processing language to learn. Etlworks delivers the same log-based CDC through a visual builder, plus ETL, APIs, and EDI.

The verdict

When each tool fits.

When Etlworks fits better

  • You want a visual builder instead of a stream-processing language
  • You need EDI and API integration alongside CDC
  • You want a fixed monthly price rather than event-based metering
  • You want an AI agent that builds and edits flows from chat
  • You need scheduled and event-driven orchestration, not only streaming

Where they’re equal

  • Log-based CDC for Oracle, SQL Server, PostgreSQL, MySQL, MongoDB
  • Sub-second replication
  • On-prem and cloud deployment
  • In-flight processing before delivery
  • Enterprise-grade throughput

When Striim fits better

  • You need in-flight stream analytics with windowing and joins
  • Oracle CDC at extreme scale is the core requirement
  • You need mainframe or DB2 z/OS change capture
  • Your team already writes TQL
  • You want streaming SQL as the primary programming model

Feature breakdown

Side by side.

Capability Etlworks Striim
Pricing & commercial
Starting price (monthly)$300Consumption — Cloud Enterprise listed from $4,400/mo per 100M events
Pricing modelFixed per tierMetered on events, vCPU-hours, and transfer
Cost transparencyHigh — flat rateLow — several meters, premium adapters priced separately
Vendor lock-inMonthly or annual, no contractAnnual contracts typical
Integration scope
Sources260+100+ adapters, database-weighted
DestinationsWarehouses, databases, SaaS, NoSQL, files, APIs, queues, IoT, emailWarehouses, lakes, queues, databases
ETL capabilitiesETL, ELT, Reverse ETL, wildcard processingPartial — in-flight stream processing via TQL
API managementFull
EDI processingX12, EDIFACT, HL7, FHIR
On-prem deploymentStriim Platform self-managed
Embeddable
Transformations
Visual mappingdrag-and-drop designer with live previewpipeline designer
Scripting languagesSQL, JavaScript, Python, XSLT, shellTQL, a streaming SQL dialect
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 parametersContinuous replication, not scheduled jobs
Event-driven triggersHTTP listeners and webhooks, message queues, file and email events
Continuous executionlooping schedules for CDC and queue consumersreplication runs continuously
Visual workflow builderComposer canvas, 200+ flow typespipeline designer over TQL
Nested workflowsnested flows with conditional and looped steps
Run external toolsshell and SSH scripts, CLI, JavaScript, Python, SQL, HTTP callsPartial — open processors and custom functions
Parallel executionoverlapping schedules run as independent, separately cancellable instancesparallel apply and multiple tasks
Retries and error handlingper-step exception handling with notificationsrecovery and exception handling
Run monitoringper-schedule status, run history, automatic Flow Findings reportstask status and lag metrics
CDC & Streaming
CDC engineDebezium-compatible, built-in (no Kafka required)Log-based CDC, strong Oracle heritage
Database CDC sourcesMySQL, Postgres, SQL Server, Oracle, MongoDB, DB2, othersOracle, SQL Server, PostgreSQL, MySQL, MongoDB, DB2 z/OS
Streaming queuesKafka, EventHubs, Kinesis, SQS, PubSub, ActiveMQ, RabbitMQKafka, Kinesis, Event Hubs, Pub/Sub, JMS
IoT brokersMQTT brokersMQTT
Real-time replicationLog-based CDC, full, incrementalsub-second, log-based
Change tracking modesLog-based, trigger-based, timestamp/high-watermarkLog-based, incremental
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 chatPartial — Striim AI Insights, priced as a premium feature
Agent capabilitiesReads metadata, reads/samples data, writes JS & SQL, schedules, deploys, monitorsPipeline insights and assistance
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 behaviorin-flight stream analytics
Chat across productSame agent context on every screen
CLI for agentFull CLI access for run/deploy/monitor/manageStriim CLI, not agent-driven
Trains on customer dataNeverPer Striim terms