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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

Firoz S.

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

Validated Review

Verified Reviewer

Submitted May 2023

ini. implementation was hard but then easy to use

Likeliness to Recommend

8 /10

What differentiates Microsoft Azure Data Factory from other similar products?

Data extraction seems very effective on Microsoft ADF. Once you start working on it, it becomes easy to use.

What is your favorite aspect of this product?

Data pipelines Runtime integration

What do you dislike most about this product?

Managing resources is bit tricky for the beginners. And sometime it is hard to figure out a issue as community is not strong.

What recommendations would you give to someone considering this product?

As it can be integrate with other services, so it become easy to use and get better of the product. Also we can have self hosted runtime and integrate with ADF.

Pros

Reliable
Performance Enhancing
Enables Productivity
Trustworthy

Martha K.

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

Validated Review

Verified Reviewer

Submitted May 2023

A powerful and efficient data integration tool

Likeliness to Recommend

7 /10

What differentiates Microsoft Azure Data Factory from other similar products?

Due of its integration with other Microsoft services including Azure SQL Database, Azure Blob Storage, and Azure Data Lake Storage, Azure Data Factory is a component of Microsoft's Azure cloud platform. You can quickly move and transform data between various Azure services thanks to this connectivity.

What is your favorite aspect of this product?

The capacity of ADF to enable batch and real-time data processing is a major feature. ADF can handle streaming data in real-time and deliver nearly instantaneous insights by using Azure Stream Analytics. In situations where real-time data processing is essential, such fraud detection, IoT applications, and real-time analytics, this is very helpful.

What do you dislike most about this product?

Because ADF lacks powerful debugging features, it may be difficult to locate and fix issues in your data pipelines. Even though ADF does include some fundamental logging and error reporting functionalities, these might not be enough for intricate data operations.

What recommendations would you give to someone considering this product?

You should be fully aware of your data integration and transformation requirements before implementing ADF. The types of data transformations needed, your data sources and destinations, and any real-time data processing requirements are all included in this.

Pros

Continually Improving Product
Reliable
Trustworthy
Caring

Sanay L.

Role: Operations
Industry: Technology
Involvement: Vendor Management and Renewal

Validated Review

Verified Reviewer

Submitted May 2023

Fantastic tool, but should be more polished

Likeliness to Recommend

9 /10

What differentiates Microsoft Azure Data Factory from other similar products?

It has more features and criterias as compare to any other product

What is your favorite aspect of this product?

Managing my customer data, and the protection provided to my data is the most favorite and important part.

What do you dislike most about this product?

in the settings tab sometimes it feels that there are alot of features. Those should be well organised so that people don't get confused

What recommendations would you give to someone considering this product?

Just close your eyes and go for it! It's way productive than any other tool in the market.

Pros

Helps Innovate
Continually Improving Product
Performance Enhancing
Enables Productivity

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

Firoz S.

ini. implementation was hard but then easy to use

Likeliness to Recommend

Pros

Martha K.

A powerful and efficient data integration tool

Likeliness to Recommend

Pros

Sanay L.

Fantastic tool, but should be more polished

Likeliness to Recommend

Pros

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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