Microsoft Corporation

Microsoft Azure Data Factory

Composite Score

8.6 /10

CX Score

8.9 /10

73 Reviews Write a Review

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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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Awards & Recognition

Microsoft Azure Data Factory won the following awards in the Data Integration category

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Microsoft Azure Data Factory Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on Microsoft Azure Data Factory.

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

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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?

4% Negative

5% Neutral

91% Positive

Pros

Performance Enhancing
Enables Productivity
Reliable
Efficient Service

Feature Ratings

Average 80

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

Average 80

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

Archana B.

Role: Information Technology
Industry: Retail
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Jan 2023

Fantastic product!

Likeliness to Recommend

10 /10

What differentiates Microsoft Azure Data Factory from other similar products?

In Cloud makes it eazy to use

What is your favorite aspect of this product?

Integrate well with other products, easy to use

What do you dislike most about this product?

some features in development

What recommendations would you give to someone considering this product?

TRY IT!!!!

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Rajendra G.

Role: Information Technology
Industry: Finance
Involvement: Initial Implementation

Validated Review

Verified Reviewer

Submitted Nov 2022

Azure virtual machine

Likeliness to Recommend

10 /10

What differentiates Microsoft Azure Data Factory from other similar products?

I love the scalability and flexibility given to me when using Application Gateway

What is your favorite aspect of this product?

It's powerful, works as a layer 7 load balancer and provides me everything I'd need to offload SSL and load balancing to a cloud service and let's me focus on writing apps. If you don't have a domain, use Azure FrontDoor.

What do you dislike most about this product?

The only downside I'd say there was for me when using Application Gateway, is you need to 100% have a domain name setup in advance and ready to use. Most features don't play well with just an IP and you can't use the azurewebsites domain either which makes sense

What recommendations would you give to someone considering this product?

Azure Application Gateway is solving a complex issue that I used to solve using manually configured reverse proxies and load balancers that needed to be setup and maintained and then ended up also becoming a single point of failure under extreme load

Pros

Reliable
Performance Enhancing
Enables Productivity
Trustworthy

Vaibhav G.

Role: Information Technology
Industry: Technology
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Sep 2022

Best in the market for data transformation

Likeliness to Recommend

9 /10

What differentiates Microsoft Azure Data Factory from other similar products?

The drag and drop feature is very handy which is missing from other similar products.

What is your favorite aspect of this product?

We can establish an API connectivity with a majority of data sources and sinks. Huge number of options available.

What do you dislike most about this product?

There is nothing to dislike as such. It is a very handy and stable tool for data pipelining.

What recommendations would you give to someone considering this product?

This product is definitely worth trying for creating pipelines. Having a hands on of Pyspark would be extremely handy. Also, I would advice you to switch off the cluster whenever you are not using this service to reduce costs.

Pros

Fair
Acts with Integrity
Client's Interest First
Includes Product Enhancements

Microsoft Azure Data Factory

What is Microsoft Azure Data Factory?

Company Details

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Awards & Recognition

2024 Emotional Footprint Champion

2024 Data Quadrant Gold Medalist

2023 Emotional Footprint Champion

2020 Emotional Footprint Champion

Microsoft Azure Data Factory Ratings

87 Likeliness to Recommend

100 Plan to Renew

77 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+91 Net Emotional Footprint

How much do users love Microsoft Azure Data Factory?

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Data Security Includes ability to hide sensitive data by masking with special characters or anonymous information.

Real Time Integration Able to integrate data in near-real time and handle movement of data from a source to target. Monitoring for changes in a data source in a non-invasive manner.

iPaaS Includes iPaaS (Cloud hosting) features and other advanced integration capabilities

Administrative Features Includes basic aspects of data extraction, transformation, and loading. Administrative console and process viewing, interruption, restart, cancel, and rollback.

Batch Integration Includes ability to schedule integration processes to run on a periodic basis to control the movement of data from a source to target.

Synchronization and Replication Includes the ability to accurately catch, reflect, and correct changes in data across multiple data stores.

Exception Handling and Notifications Ability to catch, report, and handle exceptions; includes transaction logging and event viewing.

Data Virtualization Includes ability to create views joining disparate data sources without the need for persistence.

API Management and Orchestration Includes publishing, promoting and overseeing APIs and Orchestration Services.

Multi Channel Support The ability to support and connect with channels including Cloud Services, Big Data Platforms, web, mobile, social, IoT, wearables, etc.

Metadata Management A metadata layer makes reporting easy and eliminates the need for coding and SQL, allowing users to see and access information in simple business language.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Microsoft Azure Data Factory Reviews

Archana B.

Fantastic product!

Likeliness to Recommend

Pros

Rajendra G.

Azure virtual machine

Likeliness to Recommend

Pros

Vaibhav G.

Best in the market for data transformation

Likeliness to Recommend

Pros

Most Popular Microsoft Azure Data Factory Comparisons

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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