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
Thomas N.
- Role: Information Technology
- Industry: Engineering
- Involvement: IT Development, Integration, and Administration
Submitted Apr 2023
A valuable tool for data integration!
Likeliness to Recommend
What differentiates Microsoft Azure Data Factory from other similar products?
Microsoft Azure Data Factory stands out from other similar products due to its ability to integrate with a wide range of data sources and destinations, including both on-premises and cloud-based systems. It also offers a variety of data transformation and processing capabilities, such as data cleansing and aggregation, as well as support for big data processing frameworks like Hadoop and Spark.
What is your favorite aspect of this product?
My favorite aspect of Microsoft Azure Data Factory is its ability to integrate with a wide range of data sources and destinations, including both cloud-based and on-premises systems. This makes it easy to create data pipelines that can move and transform data between different systems, without the need for complex coding or custom integration solutions.
What do you dislike most about this product?
There are certain aspects of Microsoft Azure Data Factory that I find to be less than ideal. Specifically, I dislike the fact that it can be difficult to troubleshoot errors and issues that arise within the platform.
What recommendations would you give to someone considering this product?
When considering Microsoft Azure Data Factory, it is important to first evaluate your organization's specific data integration needs. Azure Data Factory offers a variety of connectors and tools to integrate data from various sources, including on-premises and cloud-based systems. It is also important to consider the scalability and cost-effectiveness of the service, as well as the level of technical expertise required to implement and maintain it.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Martand S.
- Role: Industry Specific Role
- Industry: Finance
- Involvement: IT Development, Integration, and Administration
Submitted Apr 2023
Best cloud based data integration tool
Likeliness to Recommend
What differentiates Microsoft Azure Data Factory from other similar products?
It's easy to use & the features are very accurate and well integrated with other azure features. It is very well integrated with DevOps, databricks & hdinsight.
What is your favorite aspect of this product?
Data flow & monitoring are the best features for me.
What do you dislike most about this product?
There is no dislike as the product is one of the best in the market.
What recommendations would you give to someone considering this product?
I will suggest a new user to take advantage of its data flow feature. It is very helpful for basic no code transformation.
Pros
- Continually Improving Product
- Reliable
- Efficient Service
- Effective Service
Ashish T.
- Role: C-Level
- Industry: Technology
- Involvement: Business Leader or Manager
Submitted Apr 2023
Microsoft Azure Data Factory is simply Awesome!
Likeliness to Recommend
What differentiates Microsoft Azure Data Factory from other similar products?
Ease of Use Customer Support Cost Effectiveness
What is your favorite aspect of this product?
So easy to integrate with various data points
What do you dislike most about this product?
Hmm....Nothing as such...Big Fan of Microsoft Products. Can't Imagine my day without it.
What recommendations would you give to someone considering this product?
If periodic webinars are conducted would be really great. That'll help to use the features in optimal manner.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing