Microsoft Corporation

Microsoft Azure Data Factory

Composite Score

8.7 /10

CX Score

9.0 /10

82 Reviews Write a Review

Claim Software

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

Need Assistance?

We're here to help you with understanding our reports and the data inside to help you make decisions.

Get Assistance

Awards & Recognition

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

Filter By

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.

87 Likeliness to Recommend

1
Since last award

100 Plan to Renew

79 Satisfaction of Cost Relative to Value

1
Since last award

Product Experience

Negotiation and Contract

Conflict Resolution

Strategy & Innovation

Service Experience

undefined

{y}

{name}

Emotional Footprint Overview

Product Experience:: 95%
Negotiation and Contract:: 91%
Conflict Resolution:: 92%
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 80

Data Security

Administrative Features

Batch Integration

Real Time Integration

iPaaS

Exception Handling and Notifications

Synchronization and Replication

Data Virtualization

Metadata Management

API Management and Orchestration

Multi Channel Support

Vendor Capability Ratings

Average 80

Quality of Features

Ease of Data Integration

Business Value Created

Ease of Implementation

Breadth of Features

Availability and Quality of Training

Usability and Intuitiveness

Ease of IT Administration

Vendor Support

Ease of Customization

Product Strategy and Rate of Improvement

Microsoft Azure Data Factory Reviews

Madhur Raj N.

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

Validated Review

Verified Reviewer

Submitted Apr 2023

EAsy to use and very intuitive UI

Likeliness to Recommend

9 /10

What differentiates Microsoft Azure Data Factory from other similar products?

Integration with Microsoft Azure ecosystem makes it super friendly . Amazing Visual Data flow. The payment functionality.

What is your favorite aspect of this product?

I love the unified experience using azure.

What do you dislike most about this product?

Time taken to understand all the features.

What recommendations would you give to someone considering this product?

There are porting issues if you trying to migrate to MS data factory.

Pros

Effective Service
Continually Improving Product
Performance Enhancing
Enables Productivity

Sahil K.

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

Validated Review

Verified Reviewer

Submitted Apr 2023

Best cloud based ETL tool in the market !

Likeliness to Recommend

10 /10

What differentiates Microsoft Azure Data Factory from other similar products?

Microsoft Azure Data Factor is very easy to integrate and easy to use. Creating data pipelines is not very complex. It is one of the best ETL tool out there in the market and it easily gets integrated with other Microsoft products like Microsoft Power BI. It is cost effective compared to other similar products.

What is your favorite aspect of this product?

I really like about this product is that it can be easily manager on the cloud. The data pipelines can be build over the cloud and it will be charged as per our usage.

What do you dislike most about this product?

It can be sometimes difficult for new users to work on this product as the documentation is very complex and hard to understand. The documentation should be made simple so that new users can learn and work on it.

What recommendations would you give to someone considering this product?

I would say it the best tools for all your data warehousing and data engineering needs. The ETL can be easily made using Azure Data Factory. Someone who has a lot of data and wants to store and migrate it then they should definitely consider Azure Data Factory for all these needs.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Rupesh K.

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

Validated Review

Verified Reviewer

Submitted Apr 2023

The best ETL service out there

Likeliness to Recommend

9 /10

What differentiates Microsoft Azure Data Factory from other similar products?

The one great thing about the Microsfot Azure Data Factory is that it is a fully cloud-based, serverless service, which means if a user wants to use it, they don't have to worry about the underlying infrastructure because the vendor takes care of that. Along with that, the customer support provided by Microsoft is very good and keen on solving the customer's issues.

What is your favorite aspect of this product?

Microsoft Azure Data Factory provides many great features that highly improve the productivity of a user, but I am a big fan of their data integration service. You can integrate the data with so many in-built connectors that are available and this is highly helpful in the ETL process.

What do you dislike most about this product?

Even though it's great to use the service provided by Microsoft Azure Data Factory, it does come with a challenge in terms of budget. The cost to use this is on the higher side, which is not ideal for companies that are on a lower budget, and it lacks the feature of data exploration.

What recommendations would you give to someone considering this product?

If you are looking for a service that can fulfil all of your ETL needs, then please go ahead with Microsoft Azure Data Factory because it has almost all the features you need and they also provide great support to their customers.

Pros

Reliable
Performance Enhancing
Trustworthy
Effective Service

Cons

Charges for Enhancements

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

2020 Emotional Footprint Champion

Microsoft Azure Data Factory Ratings

87 Likeliness to Recommend

1 Since last award

100 Plan to Renew

79 Satisfaction of Cost Relative to Value

1 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.

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.

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.

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

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

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.

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

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 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.

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.

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.

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.

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

Madhur Raj N.

EAsy to use and very intuitive UI

Likeliness to Recommend

Pros

Sahil K.

Best cloud based ETL tool in the market !

Likeliness to Recommend

Pros

Rupesh K.

The best ETL service out there

Likeliness to Recommend

Pros

Cons

Most Popular Microsoft Azure Data Factory Comparisons

Microsoft SQL Server

Zapier

Oracle Data Integrator

SAP Data Services

Altova MapForce

Cleo Integration Cloud

1
Since last award

1
Since last award

Feature Ratings

Data Security

Administrative Features

Batch Integration

Real Time Integration

iPaaS

Exception Handling and Notifications

Synchronization and Replication

Data Virtualization

Metadata Management

API Management and Orchestration

Multi Channel Support

Vendor Capability Ratings

Quality of Features

Ease of Data Integration

Business Value Created

Ease of Implementation

Breadth of Features

Availability and Quality of Training

Usability and Intuitiveness

Ease of IT Administration

Vendor Support

Ease of Customization

Product Strategy and Rate of Improvement