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I've used it to perform PoC's and work with data transformation processes that interact with other applications or tools.
- Cloud-based
- Fast
- Reliable
- Some features exist on the UI but are not implemented
- Its always changing
July 24, 2020

Azure Data Factory, particularly V2, offers a good option as a cloud-based ETL tool if you are leveraging the Azure cloud. We are using it as we begin to hybridize our on-prem data warehouse and applications with Azure. Up until now, we have leveraged SSIS for these purposes, but are beginning to migrate ETL and other data movement functions to the cloud, with Azure Data Factory as the primary utility.
- Easy to set up and get started.
- Runtimes make integration with on-prem data simple and also allow for support of existing investments in SSIS.
- Limited source/sink (target) connectors depending on which area of Azure Data Factory you are using.
- Does not yet have parity with SSIS as far as the transforms available.
Azure Data Factory Scorecard Summary
Feature Scorecard Summary
What is Azure Data Factory?
Microsoft's Azure Data Factory is a service built for all data integration needs and skill levels. It is designed to allow the user to easily construct ETL and ELT processes code-free within the intuitive visual environment, or write one's own code. Visually integrate data sources using more than 80 natively built and maintenance-free connectors at no added cost. Focus on data—the serverless integration service does the rest.
Categories: Data Integration
Azure Data Factory Technical Details
Operating Systems: | Unspecified |
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Mobile Application: | No |