Microsoft Corporation

Microsoft Azure Data Factory

Composite Score

8.7 /10

CX Score

9.0 /10

85 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.

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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

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

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.

+93 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

3% Neutral

92% Positive

Pros

Performance Enhancing
Reliable
Security Protects
Helps Innovate

Feature Ratings

Average 81

Data Security

Batch Integration

Administrative Features

Real Time Integration

Exception Handling and Notifications

iPaaS

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

Isioma O.

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

Validated Review

Verified Reviewer

Submitted Jan 2025

Powerful, Flexible, and Scalable

Likeliness to Recommend

9 /10

What differentiates Microsoft Azure Data Factory from other similar products?

Wide Range of Data Connectors: ADF supports a large variety of data sources, including both on-premises and cloud-based systems. It provides more than 90 built-in connectors, making it easier to connect and manage diverse data environments compared to competitors. Data Flow Design and Monitoring: The data flow in ADF is intuitive, offering a no-code visual interface that allows users to design complex ETL (Extract, Transform, Load) workflows without having to write extensive code. Additionally, it provides monitoring and troubleshooting features, making it easier to track performance and identify issues.

What is your favorite aspect of this product?

My favorite aspect of Microsoft Azure Data Factory is its scalability and flexibility. The ability to seamlessly integrate with a wide variety of data sources (both on-premises and in the cloud) while offering serverless architecture means that businesses can easily scale their data pipelines without worrying about infrastructure management. It’s particularly valuable for companies that need to handle complex, large-scale data workflows, as it provides a smooth, cost-effective solution for transforming and moving data across different systems.

What do you dislike most about this product?

One of the main drawbacks of Microsoft Azure Data Factory is its complexity for beginners. While it offers robust capabilities, the learning curve can be steep for users who are new to data integration tools or the Azure ecosystem. The interface, while powerful, can be overwhelming, especially for users who are not familiar with concepts like data pipelines, linked services, and activities. Additionally, troubleshooting and debugging errors in complex data workflows can sometimes be challenging without in-depth knowledge of the platform’s intricacies.

What recommendations would you give to someone considering this product?

Familiarize Yourself with Azure Ecosystem: Before diving into ADF, it's important to have a good understanding of Azure services in general, especially related products like Azure Storage, Azure Databricks, and Azure SQL. ADF integrates seamlessly with these services, so knowing how they work will make your experience smoother. Take Advantage of Tutorials and Documentation: Microsoft provides a comprehensive range of tutorials and documentation, which can help you get up to speed faster. Leverage these resources to learn how to design data pipelines and understand key concepts like linked services, datasets, and triggers. Start Small.

Pros

Reliable
Trustworthy
Unique Features
Acts with Integrity

Agha A.

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

Validated Review

Verified Reviewer

Submitted Oct 2024

Native Integration with code free environment

Likeliness to Recommend

10 /10

What differentiates Microsoft Azure Data Factory from other similar products?

Seamless integration with the Azure ecosystem enables code-free data integration, along with pipeline orchestration and scheduling. It also includes robust monitoring and management features, supports various types of integration runtimes, and operates on a pay-as-you-go pricing model.

What is your favorite aspect of this product?

Developemnt of data pipelines with code free environment, Scheduling monitoring pipeline is easy and seamless

What do you dislike most about this product?

Not for now, its 100% fits to my work

What recommendations would you give to someone considering this product?

If you are looking for Cloud Data integration Azure Data Faactory is best for you with pricing and features.

Pros

Helps Innovate
Reliable
Performance Enhancing
Enables Productivity

Rakesh K.

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

Validated Review

Verified Reviewer

Submitted Sep 2024

Fantastic Product, Firmly recommended

Likeliness to Recommend

10 /10

What differentiates Microsoft Azure Data Factory from other similar products?

Integration with Azure Ecosystem CICD Pipeline pay-as-you-go pricing model Integration with DevOps built-in monitoring and logging capabilities

What is your favorite aspect of this product?

code-free interface for designing and managing data transformation pipelines it offer multiple IR CICD Pipeline pay-as-you-go pricing model

What do you dislike most about this product?

Nothing as such found in my entire career

What recommendations would you give to someone considering this product?

Its seamless integration with other Azure services and utilize its code-free data flow capabilities. Keep an eye on cost management and security, and explore its monitoring and DevOps integration to optimize your data workflows. Firmly recommended

Pros

Helps Innovate
Reliable
Enables Productivity
Unique Features

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

Microsoft Azure Data Factory Ratings

88 Likeliness to Recommend

100 Plan to Renew

80 Satisfaction of Cost Relative to Value

2 Since last award

Emotional Footprint Overview

+93 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.

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.

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

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

Isioma O.

Powerful, Flexible, and Scalable

Likeliness to Recommend

Pros

Agha A.

Native Integration with code free environment

Likeliness to Recommend

Pros

Rakesh K.

Fantastic Product, Firmly recommended

Likeliness to Recommend

Pros

Most Popular Microsoft Azure Data Factory Comparisons

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Cleo Integration Cloud

2
Since last award

Feature Ratings

Data Security

Batch Integration

Administrative Features

Real Time Integration

Exception Handling and Notifications

iPaaS

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