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Microsoft Corporation

Azure Data Factory

Composite Score

8.6 /10

CX Score

8.9 /10

96 Reviews Write a Review

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What is 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

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

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2026 Data Quadrant Champion

Latest Award, 2026

0 Top Rated Capabilities

1 Top Rated Features

Latest Award, 2026

2025 Emotional Footprint Champion

2025

Product Impact
Contract Negotiation
Conflict Resolution

2025

2025 Data Quadrant Champion

2025

1 Top Rated Capabilities

1 Top Rated Features

2025

2024 Emotional Footprint Champion

2024

2024 Data Quadrant Champion

2024

2023 Emotional Footprint Champion

2023

Product Impact

2022

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 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

1
Since last award

98 Plan to Renew

80 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.

+90 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 Azure Data Factory?

7% Negative

3% Neutral

90% Positive

Pros

Trustworthy
Respectful
Efficient Service
Fair

Feature Ratings

Average 80

Data Security

Administrative Features

Batch Integration

Exception Handling and Notifications

iPaaS

Real Time Integration

Multi Channel Support

Synchronization and Replication

Data Virtualization

API Management and Orchestration

Metadata Management

Vendor Capability Ratings

Average 79

Quality of Features

Breadth of Features

Business Value Created

Ease of Data Integration

Availability and Quality of Training

Ease of Implementation

Ease of IT Administration

Usability and Intuitiveness

Vendor Support

Product Strategy and Rate of Improvement

Ease of Customization

Azure Data Factory Reviews

Sriharsha K.

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

Validated Review

Verified Reviewer

Submitted Oct 2024

Azure Data Factory Solution for Efficient DataPipe

Likeliness to Recommend

10 /10

What differentiates Azure Data Factory from other similar products?

Unlike many other ETL tools, ADF supports hybrid data environments, allowing data movement across on-premises systems and the cloud without requiring complex setup and It supports large-scale, geographically distributed data integration and transformation, a feature critical for multinational companies and provide flexible, scalable, and integrated solution for data movement and transformation, especially for businesses operating within the Azure ecosystem. Its hybrid capabilities, ease of use, and cost efficiency.

What is your favorite aspect of this product?

One of the standout features of Microsoft Azure Data Factory is its robust data integration capabilities, particularly its ability to orchestrate complex data workflows seamlessly. The visual interface, combined with a rich set of pre-built connectors, allows users to easily create, manage, and monitor data pipelines, making it accessible for both technical and non-technical users.

What do you dislike most about this product?

Users have reported difficulty in tracing errors or understanding the root causes of issues within complex pipelines, making troubleshooting time-consuming.

What recommendations would you give to someone considering this product?

Leverage Azure Data Factory's seamless integration with other Azure services, like Azure Synapse Analytics, Azure Machine Learning, and Power BI, to create a cohesive data ecosystem. and monitor your usage to keep costs under control, as Azure Data Factory pricing can vary based on data movement and transformation activities

Pros

Helps Innovate
Continually Improving Product
Trustworthy
Acts with Integrity

Abhijeet S.

Role: Information Technology
Industry: Technology
Involvement: Vendor Selection and Purchasing

Validated Review

Verified Reviewer

Submitted Apr 2024

Easy to learn

Likeliness to Recommend

10 /10

What differentiates Azure Data Factory from other similar products?

Easy to Integrate & easy to learn

What is your favorite aspect of this product?

They Provide 70 + intregrations

What do you dislike most about this product?

NO processing power

What recommendations would you give to someone considering this product?

Best for extraction & loading

Pros

Reliable
Performance Enhancing
Enables Productivity
Trustworthy

Vishal K.

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

Validated Review

Verified Reviewer

Submitted Jan 2026

Reliable data tool.

Likeliness to Recommend

9 /10

What differentiates Azure Data Factory from other similar products?

Azure Data Factory of Microsoft is unique because of its easy cloud integration capabilities, scalable ETL processes, ability to work with real-time as well as batch data. The interface of this product is very simple and easy to manage as opposed to other competitors.

What is your favorite aspect of this product?

enjoy the following about Microsoft Azure Data Factory. The ease of building and managing complex data pipelines. The number of connectors, the automation features, and the real-time monitoring enable efficient handling of large data integration tasks.

What do you dislike most about this product?

he most infuriating thing about Microsoft Azure Data Factory is that debugging and tracing errors. Although very powerful, at times it might take a relatively lengthy amount of time to debug complex tasks, such as pipelines and transformations.

What recommendations would you give to someone considering this product?

But I would want it fully utilized for its connectors and automation capabilities before being implemented, spend time understanding the monitoring and debugging capabilities, as it’s very powerful, but its implementation will ensure smooth and efficient data flow.

Pros

Continually Improving Product
Reliable
Saves Time
Security Protects

Azure Data Factory

What is Azure Data Factory?

Company Details

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Awards & Recognition

2026 Data Quadrant Champion

2025 Emotional Footprint Champion

2025 Data Quadrant Champion

2024 Emotional Footprint Champion

2024 Data Quadrant Champion

2023 Emotional Footprint Champion

Azure Data Factory Ratings

88 Likeliness to Recommend

1 Since last award

98 Plan to Renew

80 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+90 Net Emotional Footprint

How much do users love 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.

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.

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

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.

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

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.

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

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.

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.

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.

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 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.

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

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.

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.

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.

Azure Data Factory Reviews

Sriharsha K.

Azure Data Factory Solution for Efficient DataPipe

Likeliness to Recommend

Pros

Abhijeet S.

Easy to learn

Likeliness to Recommend

Pros

Vishal K.

Reliable data tool.

Likeliness to Recommend

Pros

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Feature Ratings

Data Security

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Batch Integration

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iPaaS

Real Time Integration

Multi Channel Support

Synchronization and Replication

Data Virtualization

API Management and Orchestration

Metadata Management

Vendor Capability Ratings

Quality of Features

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Ease of Data Integration

Availability and Quality of Training

Ease of Implementation

Ease of IT Administration

Usability and Intuitiveness

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