
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.
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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
1
Since last award
100 Plan to Renew
79 Satisfaction of Cost Relative to Value
1
Since last award
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
- 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
Negative
Neutral
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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

Rajarshi M.
- Role: Information Technology
- Industry: Technology
- Involvement: Business Leader or Manager
Submitted Jan 2025
MS ADF: A strong choice for cloud Data Integration
Likeliness to Recommend
What differentiates Microsoft Azure Data Factory from other similar products?
I've seen a lot of data integration tools come and go. Azure Data Factory (ADF) has carved out a strong position in the market because ADF deeply integrates with the entire Azure ecosystem - Blob Storage, Data Lake Storage, Synapse Analytics, Databricks, and many more and this tight coupling simplifies data movement and processing within Azure, reducing complexity and latency. It isn't just an ETL tool. It has a broad range of capabilities, including data ingestion, transformation, orchestration and monitoring-a versatile platform for building complex data pipelines. Moreover, ADF's pay-as-you-go pricing model is very cost-effective for us.
What is your favorite aspect of this product?
What I most like about ADF is it can connect to both on-premises and cloud data sources, enabling hybrid data integration scenarios. ADF acts as an orchestrator, combining the specialized capabilities of other Azure services. For example, it can use Databricks for complex data transformations, Azure Machine Learning for predictive analytics and Azure Functions for custom logic Because ADF is part of the Azure ecosystem, it benefits from unified management and monitoring tools, simplifying operations and provides a consistent experience across different services.
What do you dislike most about this product?
No particular dislikes but if I have to pick the most significant area for improvement, it would be the debugging and monitoring experience, particularly for complex pipelines. Debugging complex pipelines with multiple activities and data flows is cumbersome. The error messages are sometimes generic and don't provide sufficient context to pinpoint the root cause. Stepping through a pipeline execution like in a traditional debugger is not available. It would be highly beneficial to have the ability to preview data at various stages of the pipeline during debugging.
What recommendations would you give to someone considering this product?
If your data resides primarily within Azure (Blob Storage, Data Lake Storage, Azure SQL Database, Synapse Analytics etc.), ADF is a natural fit. Its deep integration with these services simplifies data movement, transformation and orchestration, hugely reducing complexity and development time. This is its strongest selling point. ADF has a wide array of pre-built connectors for various data sources and transformations. ADF's visual interface is quite easy to get started with basic data ingestion and transformation tasks. Begin with smaller, well-defined pipelines to familiarize yourself with the platform before tackling more complex projects.
Pros
- Helps Innovate
- Reliable
- Performance Enhancing
- Enables Productivity

Kuntal B.
- Role: Information Technology
- Industry: Communications
- Involvement: IT Development, Integration, and Administration
Submitted Dec 2024
Fantastic product by Microsoft
Likeliness to Recommend
What differentiates Microsoft Azure Data Factory from other similar products?
Amazing feature of azure
What is your favorite aspect of this product?
Ease of implementation
What do you dislike most about this product?
Nothing to dislike
What recommendations would you give to someone considering this product?
Best product out there
Pros
- Performance Enhancing
- Trustworthy
- Over Delivered
- Includes Product Enhancements
Cons
- Less Effective Service

Syed A.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Oct 2024
Great Azure Tool for ETL and Data Processing
Likeliness to Recommend
What differentiates Microsoft Azure Data Factory from other similar products?
Its security features, integration method/approach, and components used in tool differentiates ADF from other tools. Basically, Microsoft always focuses to maintain customers integrity, that's a good business logic in IT industry.
What is your favorite aspect of this product?
I like Azure Data Factory's objects maintenance to use in future pipelines. Linked Services, Integration Runtime, Datasets, and Data Flows are very helpful to maintain in single place and can be reused in other pipelines.
What do you dislike most about this product?
'One thing I'm getting frustrated in ADF is its high technical words usage in console, basically everyone is a new user in new platform so on that time seeing high technical language in configuration making users panic and as well as frustration. So, improving this would increase the rating in UI is my advice to Microsoft.
What recommendations would you give to someone considering this product?
If someone looking for an ETL Tool with high integrity and multi-tenant feature, I would suggest them ADF. And I believe that the user will not regret for the decision to buy ADF. Because it's had lot of features with various integration sources and well-maintained documentation support for learning the technical usage will help users to get hands on quickly.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing