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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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
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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
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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
Mohammad f.
- Role: Sales Marketing
- Industry: Education
- Involvement: IT Leader or Manager
Submitted May 2023
Go to product for my daily work
Likeliness to Recommend
What differentiates Microsoft Azure Data Factory from other similar products?
it is a highly scalable solution, there is no limit to storage It integrates all of the data and you can design, create and monitor pipelines according to your requirements.
What is your favorite aspect of this product?
became more user friendly when data flows were introduced.
What do you dislike most about this product?
uses many resources and has issues with parallel workflows.
What recommendations would you give to someone considering this product?
Use of Ai in the the customer support will be very helpfull.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Firoz S.
- Role: Information Technology
- Industry: Retail
- Involvement: IT Development, Integration, and Administration
Submitted May 2023
ini. implementation was hard but then easy to use
Likeliness to Recommend
What differentiates Microsoft Azure Data Factory from other similar products?
Data extraction seems very effective on Microsoft ADF. Once you start working on it, it becomes easy to use.
What is your favorite aspect of this product?
Data pipelines Runtime integration
What do you dislike most about this product?
Managing resources is bit tricky for the beginners. And sometime it is hard to figure out a issue as community is not strong.
What recommendations would you give to someone considering this product?
As it can be integrate with other services, so it become easy to use and get better of the product. Also we can have self hosted runtime and integrate with ADF.
Pros
- Reliable
- Performance Enhancing
- Enables Productivity
- Trustworthy
Martha K.
- Role: Information Technology
- Industry: Other
- Involvement: IT Development, Integration, and Administration
Submitted May 2023
A powerful and efficient data integration tool
Likeliness to Recommend
What differentiates Microsoft Azure Data Factory from other similar products?
Due of its integration with other Microsoft services including Azure SQL Database, Azure Blob Storage, and Azure Data Lake Storage, Azure Data Factory is a component of Microsoft's Azure cloud platform. You can quickly move and transform data between various Azure services thanks to this connectivity.
What is your favorite aspect of this product?
The capacity of ADF to enable batch and real-time data processing is a major feature. ADF can handle streaming data in real-time and deliver nearly instantaneous insights by using Azure Stream Analytics. In situations where real-time data processing is essential, such fraud detection, IoT applications, and real-time analytics, this is very helpful.
What do you dislike most about this product?
Because ADF lacks powerful debugging features, it may be difficult to locate and fix issues in your data pipelines. Even though ADF does include some fundamental logging and error reporting functionalities, these might not be enough for intricate data operations.
What recommendations would you give to someone considering this product?
You should be fully aware of your data integration and transformation requirements before implementing ADF. The types of data transformations needed, your data sources and destinations, and any real-time data processing requirements are all included in this.
Pros
- Continually Improving Product
- Reliable
- Trustworthy
- Caring
