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
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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
Sriharsha K.
- Role: Information Technology
- Industry: Technology
- Involvement: Business Leader or Manager
Submitted Oct 2024
Azure Data Factory Solution for Efficient DataPipe
Likeliness to Recommend
What differentiates Microsoft Azure Data Factory from other similar products?
Unlike many other ETL tools, ADF supports hybrid data environments, allowing data movement across on-premises systems and the cloud without requiring complex setup and It supports large-scale, geographically distributed data integration and transformation, a feature critical for multinational companies and provide flexible, scalable, and integrated solution for data movement and transformation, especially for businesses operating within the Azure ecosystem. Its hybrid capabilities, ease of use, and cost efficiency.
What is your favorite aspect of this product?
One of the standout features of Microsoft Azure Data Factory is its robust data integration capabilities, particularly its ability to orchestrate complex data workflows seamlessly. The visual interface, combined with a rich set of pre-built connectors, allows users to easily create, manage, and monitor data pipelines, making it accessible for both technical and non-technical users.
What do you dislike most about this product?
Users have reported difficulty in tracing errors or understanding the root causes of issues within complex pipelines, making troubleshooting time-consuming.
What recommendations would you give to someone considering this product?
Leverage Azure Data Factory's seamless integration with other Azure services, like Azure Synapse Analytics, Azure Machine Learning, and Power BI, to create a cohesive data ecosystem. and monitor your usage to keep costs under control, as Azure Data Factory pricing can vary based on data movement and transformation activities
Pros
- Helps Innovate
- Continually Improving Product
- Trustworthy
- Acts with Integrity
Abhijeet S.
- Role: Information Technology
- Industry: Technology
- Involvement: Vendor Selection and Purchasing
Submitted Apr 2024
Easy to learn
Likeliness to Recommend
What differentiates Microsoft Azure Data Factory from other similar products?
Easy to Integrate & easy to learn
What is your favorite aspect of this product?
They Provide 70 + intregrations
What do you dislike most about this product?
NO processing power
What recommendations would you give to someone considering this product?
Best for extraction & loading
Pros
- Reliable
- Performance Enhancing
- Enables Productivity
- Trustworthy
Hemendra Singh R.
- Role: Consultant
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Apr 2024
Orchestration Best Tool
Likeliness to Recommend
What differentiates Microsoft Azure Data Factory from other similar products?
Its availability and ease of accessing the features, can be understood by a simple basic level of it person.
What is your favorite aspect of this product?
Integration with the multiple sources
What do you dislike most about this product?
Error view
What recommendations would you give to someone considering this product?
Nice feature and easy to use can be used for any cloud or big data great tool.
Pros
- Enables Productivity
- Trustworthy
- Unique Features
- Saves Time
