




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.
87 Likeliness to Recommend
Down
1
Since last award
100 Plan to Renew
79 Satisfaction of Cost Relative to Value
Up
1
Since last award
Emotional Footprint Overview
- Product Experience:
- 95%
- Negotiation and Contract:
- 91%
- Conflict Resolution:
- 92%
- Strategy & Innovation:
- 89%
- Service Experience:
- 94%
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
- Performance Enhancing
- Reliable
- Security Protects
- Helps Innovate
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
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Feature Ratings
Data Security
Administrative Features
Batch Integration
iPaaS
Real Time Integration
Exception Handling and Notifications
Synchronization and Replication
Data Virtualization
Metadata Management
Multi Channel Support
API Management and Orchestration
Vendor Capability Ratings
Quality of Features
Business Value Created
Ease of Data Integration
Ease of Implementation
Breadth of Features
Availability and Quality of Training
Usability and Intuitiveness
Ease of IT Administration
Vendor Support
Ease of Customization
Product Strategy and Rate of Improvement
Microsoft Azure Data Factory Reviews

Karthik S.
- Role: Information Technology
- Industry: Banking
- Involvement: IT Leader or Manager
Submitted May 2025
Scalable, Azure-integrated, and no-code ETL
Likeliness to Recommend
What differentiates Microsoft Azure Data Factory from other similar products?
Hybrid data movements capabilities. It’s scalable, no code, built in ci/cd support platforms.
What is your favorite aspect of this product?
It’s seamless integration with data lake and key vault.
What do you dislike most about this product?
Limited error handling and debugging. Dataflows are slightly expensive when compared to other ETL tools.
What recommendations would you give to someone considering this product?
It’s features and scalability are top notch.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Enables Productivity

Dhruv G.
- Role: Information Technology
- Industry: Technology
- Involvement: Business Leader or Manager
Submitted Jan 2025
Azure is everywhere.
Likeliness to Recommend
What differentiates Microsoft Azure Data Factory from other similar products?
Microsoft Azure Data Factory stands out with its seamless integration across the Azure ecosystem, enabling end-to-end data workflows with tools like Azure Synapse and Azure Machine Learning. Its hybrid data integration capabilities support on-premises and cloud data sources, offering unmatched versatility. Additionally, ADF's built-in monitoring, low-code interface, and scalable data movement make it ideal for enterprises of all sizes.
What is your favorite aspect of this product?
My favorite aspect of Azure Data Factory is its hybrid data integration, allowing seamless connectivity between on-premises and cloud sources. Combined with its low-code interface, it simplifies building complex workflows while remaining highly scalable.
What do you dislike most about this product?
One common drawback of Azure Data Factory is its limited debugging capabilities, making it challenging to troubleshoot complex pipelines effectively. Additionally, the interface can feel less intuitive for beginners compared to some competitors.
What recommendations would you give to someone considering this product?
If you're considering Azure Data Factory, I recommend starting with a clear understanding of your data integration needs, especially if you work across on-premises and cloud environments. Take advantage of its hybrid capabilities, low-code design, and seamless Azure ecosystem integration, but be prepared to invest time in learning its interface and debugging tools. Utilize the extensive documentation and community support to maximize its potential.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing

Anil K.
- Role: Information Technology
- Industry: Technology
- Involvement: Business Leader or Manager
Submitted Jan 2025
Nice product which fits our use case pretty well
Likeliness to Recommend
What differentiates Microsoft Azure Data Factory from other similar products?
Awesome UI & UX enabling effective data flow with low-code, no-code model Native integration (Azure Synapse Analytics) supports advanced analytics and large volume processing pipelines Dynamic scaling & parallel processing enable better performance Ability to integrate with wide range of platform with OOB connector support
What is your favorite aspect of this product?
UI Scalability Ease of Use Performance [though not consistent with large data volumes] Hybrid data integrations
What do you dislike most about this product?
Performance with large data volumes configuring advanced features is not easy
What recommendations would you give to someone considering this product?
Understand your use case and problem Microsoft Azure Data Factory can solve Ensure all data source are supported Plan your budget
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing