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Microsoft Corporation

Azure Data Factory

Composite Score

8.5 /10

CX Score

8.6 /10

102 Reviews Write a Review

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.

87 Likeliness to Recommend

98 Plan to Renew

78 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.

+85 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?

8% Negative

4% Neutral

88% Positive

Pros

Reliable
Trustworthy
Friendly Negotiation
Respectful

Feature Ratings

Average 79

Data Security

Administrative Features

Batch Integration

Exception Handling and Notifications

Real Time Integration

Multi Channel Support

Synchronization and Replication

iPaaS

Data Virtualization

API Management and Orchestration

Metadata Management

Vendor Capability Ratings

Average 78

Quality of Features

Breadth of Features

Ease of Implementation

Ease of IT Administration

Business Value Created

Ease of Data Integration

Availability and Quality of Training

Usability and Intuitiveness

Vendor Support

Product Strategy and Rate of Improvement

Ease of Customization

Azure Data Factory Reviews

Somasundaram A.

Role: Industry Specific Role
Industry: Electronics
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Nov 2023

Simplified ETL with powerful debugging

Likeliness to Recommend

8 /10

What differentiates Azure Data Factory from other similar products?

Helps organisation looking to modernise SSIS. Fully compatible data integration service that makes it easy to move all your SSIS packages to the cloud

What is your favorite aspect of this product?

Easy to use for data engineers because of its drag and drop feature. Powerful no code etl tool

What do you dislike most about this product?

This supports some data sources hosted outside of Azure. If you have a multi cloud strategy that tuns most of your workloads outside Azure, then this should be validatedm

What recommendations would you give to someone considering this product?

It can easily perform orchestration and can build robust data engineering pipelines

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Tarun B.

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

Validated Review

Verified Reviewer

Submitted Oct 2023

Awesome Tool for ETL and Migration

Likeliness to Recommend

9 /10

What differentiates Azure Data Factory from other similar products?

Data Quality Profiling and Cleansing is very useful feature that a developer requires Migrate data from 1 DB to other through Pipelines Data security is must required in this product Notifications through Monitor helps developer to not in front of seat everytime

What is your favorite aspect of this product?

Data Quality Profiling and Cleansing is very useful feature that a developer requires

What do you dislike most about this product?

API Documentation is tough to read

What recommendations would you give to someone considering this product?

Understand the doucmentation first , it requires some expertise before implementation

Pros

Client Friendly Policies
Helps Innovate
Reliable
Security Protects

Cons

Slower Product Innovation

Rahul A.

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

Validated Review

Verified Reviewer

Submitted Jul 2023

Data Pipeline at scale

Likeliness to Recommend

9 /10

What differentiates Azure Data Factory from other similar products?

This is managed PaaS offering from azure for data ingestion and processing

What is your favorite aspect of this product?

Pipelien monitoring and integration with multiple data sources

What do you dislike most about this product?

Error handling and alerting

What recommendations would you give to someone considering this product?

When hosting bigdata ecosystem on azure cloud, ADF is must have azure offering.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Latest Research

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

87 Likeliness to Recommend

98 Plan to Renew

78 Satisfaction of Cost Relative to Value

2 Since last award

Emotional Footprint Overview

+85 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.

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.

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

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.

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.

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.

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

Somasundaram A.

Simplified ETL with powerful debugging

Likeliness to Recommend

Pros

Tarun B.

Awesome Tool for ETL and Migration

Likeliness to Recommend

Pros

Cons

Rahul A.

Data Pipeline at scale

Likeliness to Recommend

Pros

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2
Since last award

Feature Ratings

Data Security

Administrative Features

Batch Integration

Exception Handling and Notifications

Real Time Integration

Multi Channel Support

Synchronization and Replication

iPaaS

Data Virtualization

API Management and Orchestration

Metadata Management

Vendor Capability Ratings

Quality of Features

Breadth of Features

Ease of Implementation

Ease of IT Administration

Business Value Created

Ease of Data Integration

Availability and Quality of Training

Usability and Intuitiveness

Vendor Support

Product Strategy and Rate of Improvement

Ease of Customization