Etlworks is a modern data integration platform built to handle real-world complexity — from messy legacy systems to modern APIs, streaming data, and everything in between.
We focus on breadth, flexibility, and practicality — not buzzwords or rigid workflows.
What Etlworks Does
ETL and ELT from any source to any destination
File-based integration (CSV, Excel, XML, EDI, etc.) over SFTP, FTP, cloud storage, local file systems
Streaming and CDC from databases like PostgreSQL, Oracle, SQL Server and many others
- EDI and B2B integration, supporting most common data exchange formats, such as X12, EDIFACT, HL7 and many others
API integration — including custom and complex APIs, not just prebuilt connectors
Workflow orchestration across systems, including nested and event-driven flows
Hybrid deployments — cloud-managed, self-hosted, or both
Automation and scheduling with fine-grained control, parameters, retries, and logic
Custom transformation using SQL, JavaScript, Python, or visual mapping
Monitoring and alerting with logs, metrics, and integrations into tools like Grafana
What Etlworks Doesn’t
We’re not a no-code BI tool — we don’t replace Tableau, Power BI, or Looker
We don’t force users into rigid pipelines — everything is configurable
We don’t do data warehousing — but we integrate with all major warehouses (Snowflake, BigQuery, Redshift, etc.)
We don’t offer full-scale Master Data Management (MDM)
We’re light on data governance — we offer some capabilities (auditing, logging, access controls), but it’s not our primary focus
We’re not focused on AI/ML use cases — though we do integrate well with platforms that are
We don’t claim to be “the only platform you’ll ever need” — we just work well with the rest of your stack
TL;DR
Etlworks is for teams who need a serious, flexible, and cost-effective way to move, transform, and integrate data across systems — especially when things get messy.