Microsoft Corporation

Microsoft Azure Data Factory

Composite Score

8.7 /10

CX Score

8.9 /10

80 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

78 Satisfaction of Cost Relative to Value

1
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.

+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?

5% Negative

4% Neutral

91% Positive

Pros

Performance Enhancing
Reliable
Enables Productivity
Trustworthy

Feature Ratings

Average 81

Data Security

Real Time Integration

Administrative Features

Batch Integration

Exception Handling and Notifications

Synchronization and Replication

iPaaS

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

Ease of IT Administration

Usability and Intuitiveness

Ease of Customization

Vendor Support

Product Strategy and Rate of Improvement

Microsoft Azure Data Factory Reviews

Vaibhav K.

Role: Industry Specific Role
Industry: Technology
Involvement: Initial Implementation

Validated Review

Verified Reviewer

Submitted Jan 2024

Best ETL tool for most of the data problems.

Likeliness to Recommend

10 /10

What differentiates Microsoft Azure Data Factory from other similar products?

Azure Data Factory 's maping data flow provides a code free environment to design data transformation visually. Users also have the drag and drop functionality for to create complex ETL. Azure Data Factory provides a unified monitoring dashboard that offers a holistic view of all pipeline activity.

What is your favorite aspect of this product?

Its drag and drop functionality for to create complex ETL.

What do you dislike most about this product?

Its visual interface for designing pipeline, especially when dealing complex workflow and numorous activity It support incremental data loads in my experience the setup can be somewhat manual and complex.

What recommendations would you give to someone considering this product?

Its best ETL tool for the data. To save the time and get product ready it best tool and also have the best and time saving feature. Has more functionality .

Pros

Reliable
Inspires Innovation
Helps Innovate
Continually Improving Product

RAHUL G.

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

Validated Review

Verified Reviewer

Submitted Nov 2023

One of the best cloud data warehouse platform

Likeliness to Recommend

10 /10

What differentiates Microsoft Azure Data Factory from other similar products?

Comparing Azure with Google Cloud Platform, its interface is more friendly to no-code and hence its makes it easy for creating ETL transformations.

What is your favorite aspect of this product?

Azure is highly fast and responsive and it can handle extremely large datasets very efficiently.

What do you dislike most about this product?

Pricing can be a challenging factor for small business users.

What recommendations would you give to someone considering this product?

If you are dealing with big data in your organization which is taking days to run then switch to AZURE because it can handle TB if data in seconds.

Lucas S.

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

Validated Review

Verified Reviewer

Submitted Nov 2023

Useful for integrations and orchestrations.

Likeliness to Recommend

9 /10

What differentiates Microsoft Azure Data Factory from other similar products?

It provides Data Integration and Orchestration in the same tool, with easy to use monitoring and configurations.

What is your favorite aspect of this product?

Design pipelines in DAGs.

What do you dislike most about this product?

Not so easy to configure integrations with original OnPrem sources.

What recommendations would you give to someone considering this product?

If you are using Azure, it's a very good solution!

Pros

Efficient Service
Effective Service
Respectful
Client Friendly Policies

Microsoft Azure Data Factory

What is Microsoft Azure Data Factory?

Company Details

Need Assistance?

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

78 Satisfaction of Cost Relative to Value

1 Since last award

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.

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.

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.

iPaaS Includes iPaaS (Cloud hosting) features and other advanced integration capabilities

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.

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.

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

Vaibhav K.

Best ETL tool for most of the data problems.

Likeliness to Recommend

Pros

RAHUL G.

One of the best cloud data warehouse platform

Likeliness to Recommend

Lucas S.

Useful for integrations and orchestrations.

Likeliness to Recommend

Pros

Most Popular Microsoft Azure Data Factory Comparisons

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1
Since last award

Feature Ratings

Data Security

Real Time Integration

Administrative Features

Batch Integration

Exception Handling and Notifications

Synchronization and Replication

iPaaS

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

Ease of IT Administration

Usability and Intuitiveness

Ease of Customization

Vendor Support

Product Strategy and Rate of Improvement