Azure Data Factory Logo Award Winner Product Badge
Azure Data Factory Logo Award Winner Product Badge
Microsoft Corporation

Azure Data Factory

Composite Score
8.5 /10
CX Score
8.6 /10
Category
Azure Data Factory
8.5 /10

What is Azure Data Factory?

Azure Data Factory is Azure's cloud ETL service for scale-out serverless data integration and data transformation. It offers a code-free UI for intuitive authoring and single-pane-of-glass monitoring and management. Data Factory provides a data integration and transformation layer that works across your digital transformation initiatives.

Company Details


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Awards & Recognition

Azure Data Factory won the following awards in the Data Integration category

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Azure Data Factory Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on Azure Data Factory.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

87 Likeliness to Recommend

98 Plan to Renew

78 Satisfaction of Cost Relative to Value

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Since last award


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Emotional Footprint Overview

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+85 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love Azure Data Factory?

8% Negative
4% Neutral
88% Positive

Pros

  • Reliable
  • Trustworthy
  • Friendly Negotiation
  • Respectful

Feature Ratings

Average 79

Data Security

83

Administrative Features

82

Batch Integration

82

Exception Handling and Notifications

80

Real Time Integration

79

Multi Channel Support

78

Synchronization and Replication

77

iPaaS

77

Data Virtualization

76

API Management and Orchestration

76

Metadata Management

75

Vendor Capability Ratings

Average 78

Quality of Features

80

Breadth of Features

79

Ease of Implementation

79

Ease of IT Administration

79

Business Value Created

79

Ease of Data Integration

78

Availability and Quality of Training

78

Usability and Intuitiveness

77

Vendor Support

77

Product Strategy and Rate of Improvement

77

Ease of Customization

76

Azure Data Factory Reviews

  • Role: Information Technology
  • Industry: Government
  • Involvement: IT Leader or Manager
Validated Review
Anonymous Reviewer

Submitted Jun 2026

Great software for government use and data managem

Likeliness to Recommend

10 /10

Pros

  • Continually Improving Product
  • Reliable
  • Performance Enhancing
  • Enables Productivity
  • Role: Information Technology
  • Industry: Chemicals
  • Involvement: IT Development, Integration, and Administration
Validated Review
Anonymous Reviewer

Submitted Jun 2026

Ease of Usability

Likeliness to Recommend

7 /10

Pros

  • Reliable
  • Enables Productivity
  • Trustworthy
  • Unique Features

Vishal K.

  • Role: Information Technology
  • Industry: Technology
  • Involvement: IT Leader or Manager
Validated Review
Verified Reviewer

Submitted Jan 2026

Reliable data tool.

Likeliness to Recommend

9 /10

What differentiates Azure Data Factory from other similar products?

Azure Data Factory of Microsoft is unique because of its easy cloud integration capabilities, scalable ETL processes, ability to work with real-time as well as batch data. The interface of this product is very simple and easy to manage as opposed to other competitors.

What is your favorite aspect of this product?

enjoy the following about Microsoft Azure Data Factory. The ease of building and managing complex data pipelines. The number of connectors, the automation features, and the real-time monitoring enable efficient handling of large data integration tasks.

What do you dislike most about this product?

he most infuriating thing about Microsoft Azure Data Factory is that debugging and tracing errors. Although very powerful, at times it might take a relatively lengthy amount of time to debug complex tasks, such as pipelines and transformations.

What recommendations would you give to someone considering this product?

But I would want it fully utilized for its connectors and automation capabilities before being implemented, spend time understanding the monitoring and debugging capabilities, as it’s very powerful, but its implementation will ensure smooth and efficient data flow.

Pros

  • Continually Improving Product
  • Reliable
  • Saves Time
  • Security Protects

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