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.
87 Likeliness to Recommend
100 Plan to Renew
77 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.
+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
- Performance Enhancing
- Enables Productivity
- Reliable
- Efficient Service
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
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Feature Ratings
Data Security
Real Time Integration
iPaaS
Administrative Features
Batch Integration
Synchronization and Replication
Exception Handling and Notifications
Data Virtualization
API Management and Orchestration
Multi Channel Support
Metadata Management
Vendor Capability Ratings
Quality of Features
Ease of Data Integration
Business Value Created
Breadth of Features
Usability and Intuitiveness
Ease of Implementation
Availability and Quality of Training
Ease of IT Administration
Vendor Support
Ease of Customization
Product Strategy and Rate of Improvement
Microsoft Azure Data Factory Reviews
Sivaraman R.
- Role: Information Technology
- Industry: Insurance
- Involvement: IT Leader or Manager
Submitted Jul 2022
Great Cloud ETL suite from MS
Likeliness to Recommend
What differentiates Microsoft Azure Data Factory from other similar products?
Cost, ease of use, user experience, integration connectors with all major systems, robust data pipeline and seamless data handling. Varieties of clusters, compute services like HDInsight, Databricks and this is very easy to use for bulk data processing without knowing about the cluster
What is your favorite aspect of this product?
Azure data factory has a wide range of connectors for many on-premise and cloud servers. Very easy to implement
What do you dislike most about this product?
Can improve performance on 3rd party system integration such as oracle, DB2, MySQL, postgres etc as the response is bit slow compared with SQL server
What recommendations would you give to someone considering this product?
Robust ETL tool for enterprises with minimum cost spent on ops and support
Pros
- Continually Improving Product
- Trustworthy
- Generous Negotitation
- Over Delivered
Mario Alberto C.
- Role: Information Technology
- Industry: Consulting
- Involvement: IT Development, Integration, and Administration
Submitted Apr 2022
Fantastic Product under the Microsoft Azure Cloud
Likeliness to Recommend
What differentiates Microsoft Azure Data Factory from other similar products?
The easy to use, the graphical approach (workflow style) and the ability to connect to multiple datasources as well.
What is your favorite aspect of this product?
Ability to connect datalakes.
What do you dislike most about this product?
Nothing at this time.
What recommendations would you give to someone considering this product?
For people to start on the Data Warehouse world definitely give a shot.
Pros
- Reliable
- Helps Innovate
- Continually Improving Product
- Performance Enhancing
Jatin G.
- Role: Student Academic
- Industry: Education
- Involvement: IT Development, Integration, and Administration
Submitted Sep 2021
Best Tool Used to Manage and transform Data
Likeliness to Recommend
What differentiates Microsoft Azure Data Factory from other similar products?
Best GUI is easy to Learn and work with. No coding is required simply drag-drop and auto backend coding. No special training is required.
What is your favorite aspect of this product?
Free Trial is available to understand and to use the product. The customer support is good, the response time is very fast from just 4-6 working hours. No coding skills are required, ready to use the product.
What do you dislike most about this product?
The integration of the existing product with Azure is mostly not compatible and not possible. Which makes a user difficult to move the complete database. It also results in minor dataloss. Data transformation reports can be better by adding a pre-generated summary.
What recommendations would you give to someone considering this product?
Use this product to the fullest. The trial version offers complete functionality. The cost is very nominal and the productivity increased using this tool.
Pros
- Generous Negotitation
- Includes Product Enhancements
- Helps Innovate
- Continually Improving Product
