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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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
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
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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
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
Vaibhav K.
- Role: Industry Specific Role
- Industry: Technology
- Involvement: Initial Implementation
Submitted Jan 2024
Best ETL tool for most of the data problems.
Likeliness to Recommend
What differentiates Microsoft Azure Data Factory from other similar products?
Azure Data Factory 's maping data flow provides a code free environment to design data transformation visually. Users also have the drag and drop functionality for to create complex ETL. Azure Data Factory provides a unified monitoring dashboard that offers a holistic view of all pipeline activity.
What is your favorite aspect of this product?
Its drag and drop functionality for to create complex ETL.
What do you dislike most about this product?
Its visual interface for designing pipeline, especially when dealing complex workflow and numorous activity It support incremental data loads in my experience the setup can be somewhat manual and complex.
What recommendations would you give to someone considering this product?
Its best ETL tool for the data. To save the time and get product ready it best tool and also have the best and time saving feature. Has more functionality .
Pros
- Reliable
- Inspires Innovation
- Helps Innovate
- Continually Improving Product
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 Microsoft 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.
