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
Hasbi M.
- Role: Student Academic
- Industry: Education
- Involvement: IT Development, Integration, and Administration
Submitted May 2023
overall, complete product with affrodable price
Likeliness to Recommend
What differentiates Microsoft Azure Data Factory from other similar products?
If you are using another Azure products, it is so simple to integrate
What is your favorite aspect of this product?
i love the payment system, user interface and experience tbh
What do you dislike most about this product?
the customer service
What recommendations would you give to someone considering this product?
if you are considering to use, microsoft or google or amazon products, i highly recommend you to just choose microsoft azure products. it can easily learnt microsoft learn, and so many documentation out there
Pros
- Continually Improving Product
- Efficient Service
- Effective Service
- Saves Time
Cons
- Vendor Friendly Policies
- Less Fair
- Charges for Enhancements
- Role: Information Technology
- Industry: Finance
- Involvement: IT Development, Integration, and Administration
Submitted May 2023
Very Good Product, with lots of features
Likeliness to Recommend
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Enables Productivity
Denis D.
- Role: Information Technology
- Industry: Banking
- Involvement: IT Development, Integration, and Administration
Submitted May 2023
The cloud service to simplify data management
Likeliness to Recommend
What differentiates Microsoft Azure Data Factory from other similar products?
Azure Data Factory has some key differentiators that set it apart from the competition: Integration with Azure services, Hybrid data integration, Flexible execution, Rich ecosystem. Azure Data Factory supports a variety of execution models, including scheduling, event-based triggers, and manual execution, also it has a rich ecosystem of connectors and integration partners, including support for big data technologies like Hadoop, Spark, and HDInsight.
What is your favorite aspect of this product?
Integration with Azure services. Azure Data Factory has the ability to scale to handle large volumes of data, thanks to its cloud-based infrastructure and it's considered to be a cost-effective solution for data integration, as it allows users to easily move data between different sources and destinations without requiring expensive hardware or infrastructure.
What do you dislike most about this product?
Overall, Azure Data Factory is a service I highly recommend to anyone working with data in the cloud.
What recommendations would you give to someone considering this product?
Before starting to create complex data pipelines, it is important to gain a good understanding of basic Azure Data Factory concepts, such as datasets, activities, and pipelines.
Pros
- Continually Improving Product
- Reliable
- Performance Enhancing
- Enables Productivity
