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Microsoft Corporation

Microsoft Azure Data Factory

Composite Score

8.7 /10

CX Score

9.0 /10

84 Reviews Write a Review

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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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

2020 Emotional Footprint Champion

2020

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

Up 2
Since last award

Product Experience

Negotiation and Contract

Conflict Resolution

Strategy & Innovation

Service Experience

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Emotional Footprint Overview

Product Experience:: 95%
Negotiation and Contract:: 91%
Conflict Resolution:: 93%
Strategy & Innovation:: 89%
Service Experience:: 94%

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.

+92 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

4% Neutral

91% Positive

Pros

Performance Enhancing
Reliable
Security Protects
Helps Innovate

Feature Ratings

Average 81

Data Security

Batch Integration

Administrative Features

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

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

Karthik S.

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

Validated Review

Verified Reviewer

Submitted May 2025

Scalable, Azure-integrated, and no-code ETL

Likeliness to Recommend

10 /10

What differentiates Microsoft Azure Data Factory from other similar products?

Hybrid data movements capabilities. It’s scalable, no code, built in ci/cd support platforms.

What is your favorite aspect of this product?

It’s seamless integration with data lake and key vault.

What do you dislike most about this product?

Limited error handling and debugging. Dataflows are slightly expensive when compared to other ETL tools.

What recommendations would you give to someone considering this product?

It’s features and scalability are top notch.

Pros

Helps Innovate
Continually Improving Product
Reliable
Enables Productivity

Dhruv G.

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

Validated Review

Verified Reviewer

Submitted Jan 2025

Azure is everywhere.

Likeliness to Recommend

10 /10

What differentiates Microsoft Azure Data Factory from other similar products?

Microsoft Azure Data Factory stands out with its seamless integration across the Azure ecosystem, enabling end-to-end data workflows with tools like Azure Synapse and Azure Machine Learning. Its hybrid data integration capabilities support on-premises and cloud data sources, offering unmatched versatility. Additionally, ADF's built-in monitoring, low-code interface, and scalable data movement make it ideal for enterprises of all sizes.

What is your favorite aspect of this product?

My favorite aspect of Azure Data Factory is its hybrid data integration, allowing seamless connectivity between on-premises and cloud sources. Combined with its low-code interface, it simplifies building complex workflows while remaining highly scalable.

What do you dislike most about this product?

One common drawback of Azure Data Factory is its limited debugging capabilities, making it challenging to troubleshoot complex pipelines effectively. Additionally, the interface can feel less intuitive for beginners compared to some competitors.

What recommendations would you give to someone considering this product?

If you're considering Azure Data Factory, I recommend starting with a clear understanding of your data integration needs, especially if you work across on-premises and cloud environments. Take advantage of its hybrid capabilities, low-code design, and seamless Azure ecosystem integration, but be prepared to invest time in learning its interface and debugging tools. Utilize the extensive documentation and community support to maximize its potential.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Anil K.

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

Validated Review

Verified Reviewer

Submitted Jan 2025

Nice product which fits our use case pretty well

Likeliness to Recommend

8 /10

What differentiates Microsoft Azure Data Factory from other similar products?

Awesome UI & UX enabling effective data flow with low-code, no-code model Native integration (Azure Synapse Analytics) supports advanced analytics and large volume processing pipelines Dynamic scaling & parallel processing enable better performance Ability to integrate with wide range of platform with OOB connector support

What is your favorite aspect of this product?

UI Scalability Ease of Use Performance [though not consistent with large data volumes] Hybrid data integrations

What do you dislike most about this product?

Performance with large data volumes configuring advanced features is not easy

What recommendations would you give to someone considering this product?

Understand your use case and problem Microsoft Azure Data Factory can solve Ensure all data source are supported Plan your budget

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Latest Research

Microsoft Azure Data Factory

What is Microsoft Azure Data Factory?

Company Details

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Awards & Recognition

2025 Data Quadrant Champion

2024 Emotional Footprint Champion

2024 Data Quadrant Champion

2023 Emotional Footprint Champion

2020 Emotional Footprint Champion

Microsoft Azure Data Factory Ratings

88 Likeliness to Recommend

100 Plan to Renew

80 Satisfaction of Cost Relative to Value

Up 2 Since last award

Emotional Footprint Overview

Emotional Footprint Overview

+92 Net Emotional Footprint

How much do users love Microsoft Azure Data Factory?

Chart

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.

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

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

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

Karthik S.

Scalable, Azure-integrated, and no-code ETL

Likeliness to Recommend

Pros

Dhruv G.

Azure is everywhere.

Likeliness to Recommend

Pros

Anil K.

Nice product which fits our use case pretty well

Likeliness to Recommend

Pros

Most Popular Microsoft Azure Data Factory Comparisons

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SAP Data Services

Altova MapForce

Cleo Integration Cloud

Title

Up 2
Since last award

Feature Ratings

Data Security

Batch Integration

Administrative Features

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

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