Azure Data Factory Reviews

12 Ratings
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Score 8.2 out of 100

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Reviews (1-2 of 2)

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January 20, 2021
Marco Urrea | TrustRadius Reviewer
Score 10 out of 10
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Verified User
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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
It works better than other tools from the same range, it has a beautiful UI and it makes work easy. Its also very easy to integrate with other tools, tools, apps and ecosystems.
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July 24, 2020
Anonymous | TrustRadius Reviewer
Score 7 out of 10
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Verified User
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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.
If you are just getting started and all your data is resident in the Azure cloud, then Azure Data Factory is likely to work fine without having to jump through too many hoops. However, in a hybrid environment (which is most of them these days), ADF will likely need a leg up. It works well for scheduling and basic scheduling/orchestration tasks, but the feature set is not at a level with SSIS (which has been around for 15 years so...). As ADF now supports deploying SSIS, it is also a good candidate if large amounts of your data are resident in the Azure cloud and you have an existing SSIS investment in code and licensing. We are using it in a hybrid fashion for the data warehouse and will slowly transition over to ADF as the feature set improves. We are also using it for cloud-native applications that only require supplemental data from on-prem resources.
We have not had need to engage with Microsoft much on Azure Data Factory, but they have been responsive and helpful when needed. This being said, we have not had a major emergency or outage requiring their intervention. The score of seven is a representation that they have done well for now, but have not proved out their support for a significant issue.
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Azure Data Factory Scorecard Summary

Feature Scorecard Summary

Connect to traditional data sources (2)
Connecto to Big Data and NoSQL (2)
Simple transformations (2)
Complex transformations (2)
Data model creation (1)
Metadata management (1)
Business rules and workflow (2)
Collaboration (1)
Testing and debugging (2)
Integration with data quality tools (2)
Integration with MDM tools (2)

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

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