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
Negative
Neutral
Positive
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
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 Microsoft 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
Somasundaram A.
- Role: Industry Specific Role
- Industry: Electronics
- Involvement: End User of Application
Submitted Nov 2023
Simplified ETL with powerful debugging
Likeliness to Recommend
What differentiates Microsoft Azure Data Factory from other similar products?
Helps organisation looking to modernise SSIS. Fully compatible data integration service that makes it easy to move all your SSIS packages to the cloud
What is your favorite aspect of this product?
Easy to use for data engineers because of its drag and drop feature. Powerful no code etl tool
What do you dislike most about this product?
This supports some data sources hosted outside of Azure. If you have a multi cloud strategy that tuns most of your workloads outside Azure, then this should be validatedm
What recommendations would you give to someone considering this product?
It can easily perform orchestration and can build robust data engineering pipelines
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Tarun B.
- Role: Information Technology
- Industry: Retail
- Involvement: End User of Application
Submitted Oct 2023
Awesome Tool for ETL and Migration
Likeliness to Recommend
What differentiates Microsoft Azure Data Factory from other similar products?
Data Quality Profiling and Cleansing聽is very useful feature that a developer requires Migrate data from 1 DB to other through Pipelines Data security is must required in this product Notifications through Monitor helps developer to not in front of seat everytime
What is your favorite aspect of this product?
Data Quality Profiling and Cleansing聽is very useful feature that a developer requires
What do you dislike most about this product?
API Documentation is tough to read
What recommendations would you give to someone considering this product?
Understand the doucmentation first , it requires some expertise before implementation
Pros
- Client Friendly Policies
- Helps Innovate
- Reliable
- Security Protects
Cons
- Slower Product Innovation
