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Open-source data pipeline tool
Mage is an open-source data pipeline tool for building, running, and managing batch and streaming data pipelines with a developer-friendly, hybrid notebook-and-code experience. It lets data engineers and scientists write modular pipeline blocks in Python, SQL, or R, preview data at each step, schedule and monitor runs, and deploy to production, aiming to make building reliable pipelines faster and more intuitive than heavier orchestrators.
Mage is used by data teams and individual practitioners that want an approachable, modern tool for ETL and transformation without steep setup. Its interactive development speeds iteration, its modular blocks encourage reuse, and its integrations connect to warehouses and the modern data stack. For teams seeking an easy-to-use, open-source pipeline builder, Mage is a growing choice.
Pricing Model
FREEMIUM
Starting Price
Contact vendor
Free Options
Free version, Free trial
| Feature | Open Source Popular | Pro |
|---|---|---|
| Batch and streaming pipelines | — | |
| Notebook-and-code blocks | — | |
| Data preview | — | |
| Scheduling | — | |
| Community support | — | |
| Everything in Open Source | — | |
| Managed cloud | — | |
| Collaboration | — | |
| Monitoring | — | |
| Priority support | — |
Other
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API Types
SDK Availability
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Developer Features
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Compliance Standards
SOC 2 Type II
EnterpriseISO 27001
EnterpriseGDPR Compliant
GlobalHIPAA
HealthcarePCI DSS
FinanceCCPA
PrivacyFedRAMP
GovernmentCSA STAR
CloudDeployment & Data
Data Residency Options
Verify with vendor for your specific region requirements.
Asset-based orchestration for data platforms
Open-source data integration to move data anywhere.
Data transformation and analytics engineering with SQL
Quick comparisons
