What is 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
98 Plan to Renew
78 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.
+85 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 Azure Data Factory?
Pros
- Reliable
- Trustworthy
- Friendly Negotiation
- Respectful
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
Positive
Feature Ratings
Data Security
Administrative Features
Batch Integration
Exception Handling and Notifications
Real Time Integration
Multi Channel Support
Synchronization and Replication
iPaaS
Data Virtualization
API Management and Orchestration
Metadata Management
Vendor Capability Ratings
Quality of Features
Breadth of Features
Ease of Implementation
Ease of IT Administration
Business Value Created
Ease of Data Integration
Availability and Quality of Training
Usability and Intuitiveness
Vendor Support
Product Strategy and Rate of Improvement
Ease of Customization
Azure Data Factory Reviews
Hamza S.
- Role: Information Technology
- Industry: Engineering
- Involvement: End User of Application
Submitted May 2023
Very easy to use because of code less UI
Likeliness to Recommend
What differentiates Azure Data Factory from other similar products?
The way it allows to set things up.
What is your favorite aspect of this product?
Code Free UI
What do you dislike most about this product?
Limited Integration with non-azure services
What recommendations would you give to someone considering this product?
Only use this for data cleansing and transformation
Pros
- Helps Innovate
- Reliable
- Performance Enhancing
- Efficient Service
Cons
- Commodity Features
- Vendor Friendly Policies
- Under Delivered
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 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
Ajay C.
- Role: Information Technology
- Industry: Healthcare
- Involvement: IT Development, Integration, and Administration
Submitted May 2023
Amazing product with fantastic features
Likeliness to Recommend
What differentiates Azure Data Factory from other similar products?
The ease of use and the most user friendly UI had made this product be a standalone in the market. I would definitely suggest this to others.
What is your favorite aspect of this product?
Importing data from a client’s server or cloud data to an Azure Data Lake has helped the ease to use in synapse analytics for reporting and BI purposes.
What do you dislike most about this product?
Activity failure mails which is sent does not specify which activity has failed. Which can be an add-on in the future which would be very useful to analyse the blocking point
What recommendations would you give to someone considering this product?
Ease of use , pay as you go model , one stop for all ETL needs , user friendly UI , drag and drop features is very easy to learn even for business people.
Pros
- Helps Innovate
- Reliable
- Enables Productivity
- Trustworthy
