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
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
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
