Microsoft Corporation

Microsoft Azure Data Factory

Composite Score

8.6 /10

CX Score

8.8 /10

74 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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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

100 Plan to Renew

77 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 Microsoft Azure Data Factory?

5% Negative

5% Neutral

90% Positive

Pros

Performance Enhancing
Reliable
Enables Productivity
Trustworthy

Feature Ratings

Average 80

Data Security

Administrative Features

Batch Integration

Real Time Integration

iPaaS

Synchronization and Replication

Exception Handling and Notifications

Data Virtualization

API Management and Orchestration

Metadata Management

Multi Channel Support

Vendor Capability Ratings

Average 79

Quality of Features

Ease of Data Integration

Business Value Created

Ease of Implementation

Breadth of Features

Availability and Quality of Training

Ease of IT Administration

Usability and Intuitiveness

Vendor Support

Ease of Customization

Product Strategy and Rate of Improvement

Microsoft Azure Data Factory Reviews

Kuntal B.

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

Validated Review

Verified Reviewer

Submitted Dec 2024

Fantastic product by Microsoft

Likeliness to Recommend

8 /10

What differentiates Microsoft Azure Data Factory from other similar products?

Amazing feature of azure

What is your favorite aspect of this product?

Ease of implementation

What do you dislike most about this product?

Nothing to dislike

What recommendations would you give to someone considering this product?

Best product out there

Pros

Performance Enhancing
Trustworthy
Over Delivered
Includes Product Enhancements

Cons

Less Effective Service

Syed A.

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

Validated Review

Verified Reviewer

Submitted Oct 2024

Great Azure Tool for ETL and Data Processing

Likeliness to Recommend

7 /10

What differentiates Microsoft Azure Data Factory from other similar products?

Its security features, integration method/approach, and components used in tool differentiates ADF from other tools. Basically, Microsoft always focuses to maintain customers integrity, that's a good business logic in IT industry.

What is your favorite aspect of this product?

I like Azure Data Factory's objects maintenance to use in future pipelines. Linked Services, Integration Runtime, Datasets, and Data Flows are very helpful to maintain in single place and can be reused in other pipelines.

What do you dislike most about this product?

'One thing I'm getting frustrated in ADF is its high technical words usage in console, basically everyone is a new user in new platform so on that time seeing high technical language in configuration making users panic and as well as frustration. So, improving this would increase the rating in UI is my advice to Microsoft.

What recommendations would you give to someone considering this product?

If someone looking for an ETL Tool with high integrity and multi-tenant feature, I would suggest them ADF. And I believe that the user will not regret for the decision to buy ADF. Because it's had lot of features with various integration sources and well-maintained documentation support for learning the technical usage will help users to get hands on quickly.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

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 Microsoft 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

Microsoft Azure Data Factory

What is Microsoft Azure Data Factory?

Company Details

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Awards & Recognition

2024 Emotional Footprint Champion

2024 Data Quadrant Gold Medalist

2023 Emotional Footprint Champion

2020 Emotional Footprint Champion

Microsoft Azure Data Factory Ratings

87 Likeliness to Recommend

100 Plan to Renew

77 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+90 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

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

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.

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.

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.

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.

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

Kuntal B.

Fantastic product by Microsoft

Likeliness to Recommend

Pros

Cons

Syed A.

Great Azure Tool for ETL and Data Processing

Likeliness to Recommend

Pros

Sriharsha K.

Azure Data Factory Solution for Efficient DataPipe

Likeliness to Recommend

Pros

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Feature Ratings

Data Security

Administrative Features

Batch Integration

Real Time Integration

iPaaS

Synchronization and Replication

Exception Handling and Notifications

Data Virtualization

API Management and Orchestration

Metadata Management

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

Ease of IT Administration

Usability and Intuitiveness

Vendor Support

Ease of Customization

Product Strategy and Rate of Improvement