Microsoft Corporation

Microsoft Azure Data Factory

Composite Score

8.7 /10

CX Score

9.0 /10

85 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.

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Awards & Recognition

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

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2025 Data Quadrant Champion

Latest Award, 2025

1 Top Rated Capabilities

1 Top Rated Features

Latest Award, 2025

2024 Emotional Footprint Champion

2024

2024 Data Quadrant Champion

2024

2023 Emotional Footprint Champion

2023

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.

88 Likeliness to Recommend

100 Plan to Renew

80 Satisfaction of Cost Relative to Value

2
Since last award

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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.

+93 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?

5% Negative

3% Neutral

92% Positive

Pros

Performance Enhancing
Reliable
Security Protects
Helps Innovate

Feature Ratings

Average 81

Data Security

Batch Integration

Administrative Features

Real Time Integration

Exception Handling and Notifications

iPaaS

Synchronization and Replication

Data Virtualization

Metadata Management

Multi Channel Support

API Management and Orchestration

Vendor Capability Ratings

Average 80

Quality of Features

Business Value Created

Ease of Data Integration

Ease of Implementation

Breadth of Features

Usability and Intuitiveness

Availability and Quality of Training

Ease of IT Administration

Ease of Customization

Vendor Support

Product Strategy and Rate of Improvement

Microsoft Azure Data Factory Reviews

Martand S.

Role: Industry Specific Role
Industry: Finance
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Apr 2023

Best cloud based data integration tool

Likeliness to Recommend

8 /10

What differentiates Microsoft Azure Data Factory from other similar products?

It's easy to use & the features are very accurate and well integrated with other azure features. It is very well integrated with DevOps, databricks & hdinsight.

What is your favorite aspect of this product?

Data flow & monitoring are the best features for me.

What do you dislike most about this product?

There is no dislike as the product is one of the best in the market.

What recommendations would you give to someone considering this product?

I will suggest a new user to take advantage of its data flow feature. It is very helpful for basic no code transformation.

Pros

Continually Improving Product
Reliable
Efficient Service
Effective Service

Vijay K.

Role: Information Technology
Industry: Technology
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Apr 2023

Great Ecosystem just that work

Likeliness to Recommend

10 /10

What differentiates Microsoft Azure Data Factory from other similar products?

The difference between the solution and other products is its focus on extraction. Other items such as formation are included but the main focus remains on extraction.

What is your favorite aspect of this product?

Azure Data Factory is one stop solution for those use cases where it have multiple data sources to pull into datawarehouse. The best part is to connect easily with provided link services or 3rd party resources.

What do you dislike most about this product?

I like Azure Data Factory because it can be used for conventional ETL and ELT with a few mouse clicks, as it can be flexibly scaled horizontally and vertically.

What recommendations would you give to someone considering this product?

"Azure Data Factory helps us on data movement, integration and transformation. We can automate the process on collecting data sources (e.g. file system) and move the data to destination (e.g Azure Synapse). We can use then use the data for visualisation. Azure Data Factory is an important component in our data engineering architecture."

Pros

Helps Innovate
Reliable
Performance Enhancing
Trustworthy

Flourish T.

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

Validated Review

Verified Reviewer

Submitted Apr 2023

A Powerful product!

Likeliness to Recommend

9 /10

What differentiates Microsoft Azure Data Factory from other similar products?

Microsoft Azure Data Factory differs from other similar products due to its ability to seamlessly combine with other Microsoft services such as Power BI, Azure SQL Database, and Azure Machine Learning. It also offers a wide range of connectors to different data sources and allows for easy scheduling and monitoring of data pipelines. Azure Data Factory provides a user-friendly interface for creating and managing data pipelines, making it easy for users to orchestrate complex data workflows.

What is your favorite aspect of this product?

My favorite aspect of Microsoft Azure Data Factory is the automation of data workflows across different sources and destinations. It also provides a range of built-in data transformation and processing capabilities, such as data cleansing, aggregation, and enrichment, which can be used to prepare data for downstream analysis or reporting.

What do you dislike most about this product?

In the case of using Microsoft Azure Data Factory, I haven't found what I dislike most about it except for some little errors encountered that were quickly rectified.

What recommendations would you give to someone considering this product?

Azure Data Factory offers a range of data integration capabilities, including data movement and transformation, as well as the ability to orchestrate complex data workflows. My recommendations for anyone trying to consider this product is to first consider the cost and to check if the platform aligns with exactly what you want to achieve in your organization.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Microsoft Azure Data Factory

What is Microsoft Azure Data Factory?

Company Details

Need Assistance?

Awards & Recognition

2025 Data Quadrant Champion

2024 Emotional Footprint Champion

2024 Data Quadrant Champion

2023 Emotional Footprint Champion

Microsoft Azure Data Factory Ratings

88 Likeliness to Recommend

100 Plan to Renew

80 Satisfaction of Cost Relative to Value

2 Since last award

Emotional Footprint Overview

+93 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.

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.

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

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.

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

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

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

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

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.

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

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

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.

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.

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

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.

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.

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.

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.

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.

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

Martand S.

Best cloud based data integration tool

Likeliness to Recommend

Pros

Vijay K.

Great Ecosystem just that work

Likeliness to Recommend

Pros

Flourish T.

A Powerful product!

Likeliness to Recommend

Pros

Most Popular Microsoft Azure Data Factory Comparisons

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Cleo Integration Cloud

2
Since last award

Feature Ratings

Data Security

Batch Integration

Administrative Features

Real Time Integration

Exception Handling and Notifications

iPaaS

Synchronization and Replication

Data Virtualization

Metadata Management

Multi Channel Support

API Management and Orchestration

Vendor Capability Ratings

Quality of Features

Business Value Created

Ease of Data Integration

Ease of Implementation

Breadth of Features

Usability and Intuitiveness

Availability and Quality of Training

Ease of IT Administration

Ease of Customization

Vendor Support

Product Strategy and Rate of Improvement