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Sign inComplex ETL and Transformations
Design, orchestrate, and monitor sophisticated ETL and ELT workflows with multiple steps, nested flows, and complex transformations across any source or destination.
Why it matters: Complex transformations are often essential for preparing data for analytics, compliance, or operational workflows—without them, insights can be incomplete or inaccurate.
Technical Details & Security
- Complex Workflows
- Transformations and Mapping
- SOC 3 Report (SOC 2 Report available after NDA)
- Security Policies
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Why Etlworks
Multi-step workflows: Build nested flows with conditionals, loops, error handling, and parallel execution.
Advanced transformations: Apply mappings, scripts, filters, and calculated fields using SQL, JavaScript, or Excel-like logic.
Real-time or batch: Run flows on a schedule, on demand, or in response to events and changes (CDC).
Broad format support: Transform flat files, JSON, XML (including deeply nested structures), and binary data.
Mapping at scale: Use external mapping files, reusable transformation blocks, and prebuilt components.
Enterprise-grade performance: Optimize throughput with automatic partitioning, multithreading, and bulk loading.
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How Companies Use Etlworks for Complex ETL and Transformations
OpenGov, a leader in cloud software for local governments, uses Etlworks to
power hundreds of complex pipelines across customer environments. With multi-step workflows,
reusable templates, and real-time monitoring via Grafana, they reduced onboarding time by
90%.
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the case study
Universal Music Group (UMG), the world’s leading music company, needed to
sync MySQL data with AS400 systems. Etlworks delivered transactional consistency and complex
transformations using JavaScript through a CDC pipeline built for reliability.
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the case study
AMK Cambodia, a leading microfinance institution, turned to Etlworks for
integrating complex XML from Oracle and Postgres into normalized Oracle warehouse tables.
Advanced features like SQL*Loader, auto partitioning, and externalized mappings made it
seamless.
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the case study
RecBi, a business intelligence provider, uses Etlworks for complex
multi-step integrations across APIs, Salesforce, databases, email, GCP, and files. Their
dynamic pipelines support multiple customers in one run, delivering flexibility and speed.
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the case study