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
Data Virtualization
Synchronization and Replication
Metadata Management
Multi Channel Support
API Management and Orchestration
Vendor Capability Ratings
Quality of Features
Business Value Created
Breadth of Features
Ease of Implementation
Ease of Data Integration
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
Pragati M.
- Role: Operations
- Industry: Media
- Involvement: IT Development, Integration, and Administration
Submitted Dec 2025
Efficient and reliable
Likeliness to Recommend
What differentiates Microsoft Azure Data Factory from other similar products?
It is easier to use with visual interface,, also like its better hybrid connectivity with its self-hosted Integration Runtime for on-premises data.
What is your favorite aspect of this product?
Interface.
What do you dislike most about this product?
I don't have much issue with it, but AWS's built in data catalogue were helpful.
What recommendations would you give to someone considering this product?
It's efficient, must use built in templates for common scenarios, they are very useful.
Pros
- Reliable
- Performance Enhancing
- Enables Productivity
- Trustworthy
Larisa A.
- Role: Information Technology
- Industry: Banking
- Involvement: IT Leader or Manager
Submitted Nov 2025
Great tool for data movement
Likeliness to Recommend
What differentiates Microsoft Azure Data Factory from other similar products?
It is very easy to spin up and have a pipeline in production in just 5 min
What is your favorite aspect of this product?
that people with no technical skills can use it.
What do you dislike most about this product?
It is a bit expensive
What recommendations would you give to someone considering this product?
Great to use for data movement and ready to production pipelines.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Ndianaobong B.
- Role: Consultant
- Industry: Technology
- Involvement: End User of Application
Submitted Jun 2025
Efficient and Powerful Orchestration tool
Likeliness to Recommend
What differentiates Microsoft Azure Data Factory from other similar products?
ADF is tightly woven into the Azure platform—offering seamless, native connectivity to Blob Storage, Synapse, Databricks, Key Vault, ADLS, and more. This makes it a natural choice for Azure-first organizations .
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?
ADF’s verbose and clunky GUI, especially in complex workflows, makes even basic tasks feel tedious and frustrating compared to code-centered tools.
What recommendations would you give to someone considering this product?
Leverage Modular, Parameterized Pipelines with Built‑in Retry Logic and Tight Cost Controls — design reusable components, configure retries/timeouts, monitor resource use and API call frequency, and enforce naming standards to optimize performance and budgeting.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
