Microsoft Azure Data Factory
What is Microsoft 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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Real user data aggregated to summarize the product performance and customer experience.
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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.
88 Likeliness to Recommend
1
Since last award
98 Plan to Renew
80 Satisfaction of Cost Relative to Value
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.
+92 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 Microsoft Azure Data Factory?
Pros
- Security Protects
- Reliable
- Saves Time
- Respectful
How to read the Emotional Footprint
The Net Emotional Footprint measures high-level user sentiment towards particular product offerings. It aggregates emotional response ratings for various dimensions of the vendor-client relationship and product effectiveness, creating a powerful indicator of overall user feeling toward the vendor and product.
While purchasing decisions shouldn't be based on emotion, it's valuable to know what kind of emotional response the vendor you're considering elicits from their users.
Footprint
Negative
Neutral
Positive
Feature Ratings
Data Security
Administrative Features
Batch Integration
Real Time Integration
Exception Handling and Notifications
iPaaS
Synchronization and Replication
Data Virtualization
Metadata Management
Multi Channel Support
API Management and Orchestration
Vendor Capability Ratings
Quality of Features
Business Value Created
Breadth of Features
Ease of Data Integration
Ease of Implementation
Availability and Quality of Training
Usability and Intuitiveness
Ease of IT Administration
Ease of Customization
Vendor Support
Product Strategy and Rate of Improvement
Microsoft Azure Data Factory Reviews
Joshua R.
- Role: Information Technology
- Industry: Entertainment
- Involvement: IT Development, Integration, and Administration
Submitted Mar 2024
One of the better Microsoft products
Likeliness to Recommend
What differentiates Microsoft Azure Data Factory from other similar products?
Cloud native, much better than the previous on prem offerings but still similar enough to older versions to switch easily.
What is your favorite aspect of this product?
Cloud native and can connect to most modern data tools and applications.
What do you dislike most about this product?
Sometimes buggy but most major issues have been ironed out over time. Hard to integrate with products outside Microsoft but likely by design.
What recommendations would you give to someone considering this product?
Try it out, can scale from small to enterprise level easily.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Vishal K.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Leader or Manager
Submitted Jan 2026
Reliable data tool.
Likeliness to Recommend
What differentiates Microsoft 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
Pratik R.
- Role: Information Technology
- Industry: Banking
- Involvement: IT Development, Integration, and Administration
Submitted Dec 2025
Seamless ADF Disaster Recovery
Likeliness to Recommend
What differentiates Microsoft Azure Data Factory from other similar products?
Built-in monitoring, Git integration, and cost-based pricing make ADF ideal for automated.
What is your favorite aspect of this product?
For container security pros integrating data pipelines, this means faster, secure orchestration.
What do you dislike most about this product?
New users often struggle with the visual pipeline editor's nuances and debugging intricate data flows,
What recommendations would you give to someone considering this product?
Start with a free Azure trial to test Data Factory pipelines hands-on before committing.
Pros
- Client Friendly Policies
- Fair
- Acts with Integrity
- Continually Improving Product
