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Microsoft Corporation

Microsoft Azure Data Factory

Composite Score

8.6 /10

CX Score

8.9 /10

73 Reviews Write a Review

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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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.

+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?

4% Negative

5% Neutral

91% Positive

Pros

Performance Enhancing
Enables Productivity
Reliable
Efficient Service

Feature Ratings

Average 80

Data Security

Real Time Integration

iPaaS

Administrative Features

Batch Integration

Synchronization and Replication

Exception Handling and Notifications

Data Virtualization

API Management and Orchestration

Multi Channel Support

Metadata Management

Vendor Capability Ratings

Average 80

Quality of Features

Ease of Data Integration

Business Value Created

Breadth of Features

Usability and Intuitiveness

Ease of Implementation

Availability and Quality of Training

Ease of IT Administration

Vendor Support

Ease of Customization

Product Strategy and Rate of Improvement

Microsoft 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 Microsoft 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 Microsoft 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 Microsoft 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

How We Deliver

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

+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.

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

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.

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.

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

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.

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.

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.

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.

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

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

Most Popular Microsoft Azure Data Factory Comparisons

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Title

Feature Ratings

Data Security

Real Time Integration

iPaaS

Administrative Features

Batch Integration

Synchronization and Replication

Exception Handling and Notifications

Data Virtualization

API Management and Orchestration

Multi Channel Support

Metadata Management

Vendor Capability Ratings

Quality of Features

Ease of Data Integration

Business Value Created

Breadth of Features

Usability and Intuitiveness

Ease of Implementation

Availability and Quality of Training

Ease of IT Administration

Vendor Support

Ease of Customization

Product Strategy and Rate of Improvement