Azure Data Factory is Microsoft's fully managed, serverless data integration and orchestration service that builds ETL/ELT pipelines to move and transform data across cloud and on-premises environments, offering a visual low-code authoring experience with extensibility via code and external compute.
Published Oct 14, 2026
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| Aspect | Azure Data Factory | AWS Glue | Matillion |
|---|---|---|---|
| Starting Price | Consumption-based; pricing varies by activity type, compute usage, and operational units (no simple flat starting price). | Usage-based; pricing varies by compute and component, with component-specific billing models. | Credit-based pricing model; vendor-published credit units and contract terms determine spend. |
| Suitable For | Organizations with Azure-first or hybrid environments that require Azure-native orchestration and connectivity. | AWS-first organizations seeking serverless ETL integrated with AWS metadata and cataloging. | Teams preferring a commercial ETL/ELT product with packaged UX and a commercial support model. |
| Key Strength | Broad connector ecosystem and integration with Azure services; suitable for orchestrating Azure-native analytics. | Deep AWS integration and serverless ETL options within AWS. | Commercial tooling with packaged UX; some users find it user-friendly for certain ELT workflows. |
| Key Weakness | Community-reported debugging and UX friction; transformation experience in Mapping Data Flows; cost predictability at scale. | Complexity across components and a learning curve for Spark-based jobs. | Additional vendor layer and separate pricing; may be less native for some Azure-standardized workflows. |
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