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Microsoft Corporation

Microsoft Azure Data Factory

Composite Score

8.7 /10

CX Score

9.0 /10

90 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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2025 Emotional Footprint Champion

Latest Award, 2025

Product Impact
Contract Negotiation
Conflict Resolution

Latest Award, 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

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

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.

+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?

6% Negative

3% Neutral

91% Positive

Pros

Security Protects
Reliable
Saves Time
Respectful

Feature Ratings

Average 80

Data Security

Administrative Features

Batch Integration

Real Time Integration

iPaaS

Exception Handling and Notifications

Data Virtualization

Synchronization and Replication

Multi Channel Support

API Management and Orchestration

Metadata Management

Vendor Capability Ratings

Average 79

Quality of Features

Business Value Created

Breadth of Features

Ease of Data Integration

Ease of Implementation

Availability and Quality of Training

Usability and Intuitiveness

Ease of IT Administration

Ease of Customization

Vendor Support

Product Strategy and Rate of Improvement

Microsoft Azure Data Factory Reviews

TamunoBelema A.

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

Validated Review

Verified Reviewer

Submitted May 2025

ADF: Seamless Data Integration, Scaled for AZURE

Likeliness to Recommend

10 /10

What differentiates Microsoft Azure Data Factory from other similar products?

Code-Free ETL

What is your favorite aspect of this product?

Ease of use/ visual, low-code interface.

What do you dislike most about this product?

Debugging and error handling frustration

What recommendations would you give to someone considering this product?

Real time streaming: for true, low latency real time data streaming and processing, explore dedicated services like azure stream analytics or azure data Rick’s with structured steaming, rather that forcing ADF in the role via micro batching.

Pros

Helps Innovate
Reliable
Enables Productivity
Trustworthy

Daniel E.

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

Validated Review

Verified Reviewer

Submitted Apr 2025

Microsoft azure data factory review

Likeliness to Recommend

9 /10

What differentiates Microsoft Azure Data Factory from other similar products?

Retains data quality

What is your favorite aspect of this product?

Data cleaning and integration

What do you dislike most about this product?

Some features are missing there

What recommendations would you give to someone considering this product?

It's a nice tool

Pros

Helps Innovate
Reliable
Enables Productivity
Unique Features

Raghu S.

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

Validated Review

Verified Reviewer

Submitted Mar 2025

Easy to use ETL tool with high customer support

Likeliness to Recommend

8 /10

What differentiates Microsoft Azure Data Factory from other similar products?

For data ingestion, it can connect to multiple source like big data services files etc. You can also integrate with other azure services(like databricks, azure devops) easily.

What is your favorite aspect of this product?

It's has quite rich drag and drop features which futher require less coding skills .

What do you dislike most about this product?

Difficult to write complex transformation logic in ADF.

What recommendations would you give to someone considering this product?

Connecting with multiple data source and making transformation on it require more secure and reliable ETL tool which I think ADF is best for that.

Pros

Respectful
Acts with Integrity
Helps Innovate
Continually Improving Product

Microsoft Azure Data Factory

What is Microsoft Azure Data Factory?

Company Details

Need Assistance?

Awards & Recognition

2025 Emotional Footprint Champion

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

1 Since last award

98 Plan to Renew

80 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.

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.

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.

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

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

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.

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.

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.

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.

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.

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

TamunoBelema A.

ADF: Seamless Data Integration, Scaled for AZURE

Likeliness to Recommend

Pros

Daniel E.

Microsoft azure data factory review

Likeliness to Recommend

Pros

Raghu S.

Easy to use ETL tool with high customer support

Likeliness to Recommend

Pros

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Feature Ratings

Data Security

Administrative Features

Batch Integration

Real Time Integration

iPaaS

Exception Handling and Notifications

Data Virtualization

Synchronization and Replication

Multi Channel Support

API Management and Orchestration

Metadata Management

Vendor Capability Ratings

Quality of Features

Business Value Created

Breadth of Features

Ease of Data Integration

Ease of Implementation

Availability and Quality of Training

Usability and Intuitiveness

Ease of IT Administration

Ease of Customization

Vendor Support

Product Strategy and Rate of Improvement