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
Need Assistance?
We're here to help you with understanding our reports and the data inside to help you make decisions.
Get AssistanceAzure 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
2
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.
+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?
Pros
- Reliable
- Trustworthy
- Friendly Negotiation
- 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
Exception Handling and Notifications
Real Time Integration
Multi Channel Support
Synchronization and Replication
iPaaS
Data Virtualization
API Management and Orchestration
Metadata Management
Vendor Capability Ratings
Quality of Features
Breadth of Features
Ease of Implementation
Ease of IT Administration
Business Value Created
Ease of Data Integration
Availability and Quality of Training
Usability and Intuitiveness
Vendor Support
Product Strategy and Rate of Improvement
Ease of Customization
Azure Data Factory Reviews
Yash S.
- Role: Information Technology
- Industry: Healthcare
- Involvement: End User of Application
Submitted Nov 2023
Look at Azure Data Factory's Strengths
Likeliness to Recommend
What differentiates Azure Data Factory from other similar products?
Azure Data Factory and AWS Glue are both players in the data orchestration game, but they've got distinct vibes. Azure Data Factory flaunts a more straightforward setup, with a familiar feel for those already in the Microsoft ecosystem. It's like your reliable hometown coffee shop – you know what to expect, and it gets the job done efficiently. So, while Azure Data Factory provides that comfort of the known, AWS Glue spices things up.
What is your favorite aspect of this product?
I really appreciate Azure Data Factory's versatility in seamlessly handling a variety of data sources and transformations. The user-friendly interface and ease of integration make it a standout tool.
What do you dislike most about this product?
One gripe with Azure Data Factory is its somewhat rigid monitoring - it's like waiting for a postcard instead of real-time updates. transformation functions, while good, could use a bit more spice for complex data dances. Debugging feels like searching for a needle in a haystack at times.
What recommendations would you give to someone considering this product?
If you're diving into Azure Data Factory, here's the lowdown: It's a solid choice for wrangling data in the cloud. Just wish for real-time monitoring and fancier transformation functions. Also, imagine if it could cozy up with machine learning a bit more and buff up its debugging game
Pros
- Helps Innovate
- Performance Enhancing
- Trustworthy
- Unique Features
RAHUL G.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Nov 2023
One of the best cloud data warehouse platform
Likeliness to Recommend
What differentiates Azure Data Factory from other similar products?
Comparing Azure with Google Cloud Platform, its interface is more friendly to no-code and hence its makes it easy for creating ETL transformations.
What is your favorite aspect of this product?
Azure is highly fast and responsive and it can handle extremely large datasets very efficiently.
What do you dislike most about this product?
Pricing can be a challenging factor for small business users.
What recommendations would you give to someone considering this product?
If you are dealing with big data in your organization which is taking days to run then switch to AZURE because it can handle TB if data in seconds.
Lucas S.
- Role: Information Technology
- Industry: Transportation
- Involvement: IT Development, Integration, and Administration
Submitted Nov 2023
Useful for integrations and orchestrations.
Likeliness to Recommend
What differentiates Azure Data Factory from other similar products?
It provides Data Integration and Orchestration in the same tool, with easy to use monitoring and configurations.
What is your favorite aspect of this product?
Design pipelines in DAGs.
What do you dislike most about this product?
Not so easy to configure integrations with original OnPrem sources.
What recommendations would you give to someone considering this product?
If you are using Azure, it's a very good solution!
Pros
- Efficient Service
- Effective Service
- Respectful
- Client Friendly Policies
