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
98 Plan to Renew
2
Since last award
80 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.
+91 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
- Respectful
- Performance Enhancing
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
iPaaS
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
Breadth of Features
Ease of Data Integration
Ease of Implementation
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
- Role: Sales Marketing
- Industry: Engineering
- Involvement: Initial Implementation
Submitted Feb 2024
Streamlining Data Integration Effortlessly
Likeliness to Recommend
Pros
- Performance Enhancing
- Enables Productivity
- Caring
- Saves Time
Kyle M.
- Role: Student Academic
- Industry: Education
- Involvement: End User of Application
Submitted Dec 2023
Impressive integration!
Likeliness to Recommend
What differentiates Microsoft Azure Data Factory from other similar products?
Exceptional capabilities and integration. Especially with other Microsoft products.
What is your favorite aspect of this product?
The ease of use and real time integration.
What do you dislike most about this product?
Nothing I can think of.
What recommendations would you give to someone considering this product?
Yes absolutely.
Pros
- Enables Productivity
- Client Friendly Policies
- Client's Interest First
- Transparent
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 Microsoft 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 鈥� 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
