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
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Since last award
80 Satisfaction of Cost Relative to Value
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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
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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
Rahul A.
- Role: Information Technology
- Industry: Banking
- Involvement: IT Leader or Manager
Submitted Jul 2023
Data Pipeline at scale
Likeliness to Recommend
What differentiates Microsoft Azure Data Factory from other similar products?
This is managed PaaS offering from azure for data ingestion and processing
What is your favorite aspect of this product?
Pipelien monitoring and integration with multiple data sources
What do you dislike most about this product?
Error handling and alerting
What recommendations would you give to someone considering this product?
When hosting bigdata ecosystem on azure cloud, ADF is must have azure offering.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Nishit R.
- Role: Consultant
- Industry: Consulting
- Involvement: IT Development, Integration, and Administration
Submitted May 2023
Azure Data Factory - Awesome Product
Likeliness to Recommend
What differentiates Microsoft Azure Data Factory from other similar products?
Azure Data Factory is a cloud service for data integration management that collects and links diverse data. In addition, it can be linked to various systems to automate multiple information extraction processes required for data analysis. It can also be used for data integration, such as ETL and ELT. ADF allows linking and using fragmented data through the development of ICT, accelerating the diversification of systems used in the enterprise from on-premises to the cloud. It makes business more efficient and convenient, as data is accumulated, analyzed and used efficiently i.e., centrally managed. Transforms collected and stored data. Allow
What is your favorite aspect of this product?
df is an ETL tool provided by MS, what I like most is that it is easy to use and we can easily connect to third party resources using link services to get datasheet. We can create separate files for the source and the repository and using the channel work we can use all the variables and use the repository to get the desired results. We use dbx workspace tokens to connect directly to Databricks and we can use ADF to connect to our Databricks books.
What do you dislike most about this product?
It's unbelievable how they keep renaming and rebranding things. SQL Warehouse becomes Azure Synapse. If you ask someone what is Synapse, they will give you a different answer than the other answers and it will be both. It's enough for MS to name their products correctly and stick with them without repetition.
What recommendations would you give to someone considering this product?
My recommendation is to definitely go for this product. It is currently the best product available in the market and it can be used in both of the workloads i.e. ETL and ELT . Its is easier to use , no setup required and integration available with 100+ sources to fetch data. Also if you want to migrate to and fro from one cloud tool to another it is useful.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Kumar S.
- Role: Information Technology
- Industry: Consulting
- Involvement: End User of Application
Submitted May 2023
Really good product good UI, no code drag n drop
Likeliness to Recommend
What differentiates Microsoft Azure Data Factory from other similar products?
Microsoft Azure Data Factory provides with the good UI for No code data pipelines creation. It also includes the capabilities of ingest and transforming the data with Azure services or external services like azure databricks.
What is your favorite aspect of this product?
My favourite aspect of this product is that it has many options available for creating pipelines with drag and drop platform with no code required.
What do you dislike most about this product?
UI for nested pipelines is not really liked by me
What recommendations would you give to someone considering this product?
I would recommend that it is a good product for creating and managing data pipelines
Pros
- Continually Improving Product
- Reliable
- Performance Enhancing
- Effective Service
