Microsoft Corporation

Microsoft Azure Data Factory

8.6 /10

67 Reviews Write a Review

Claim Software

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.

Company Details

Need Assistance?

We're here to help you with understanding our reports and the data inside to help you make decisions.

Get Assistance

Awards & Recognition

Microsoft Azure Data Factory won the following awards in the Data Integration category

Filter By

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.

87 Likeliness to Recommend

100 Plan to Renew

77 Satisfaction of Cost Relative to Value

1
Since last award

{y}

{name}

Emotional Footprint Overview

+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?

4% Negative

5% Neutral

91% Positive

Pros

Performance Enhancing
Reliable
Enables Productivity
Efficient Service

Feature Ratings

Average 79

Data Security

iPaaS

Administrative Features

Real Time Integration

Batch Integration

Synchronization and Replication

Exception Handling and Notifications

Metadata Management

API Management and Orchestration

Data Virtualization

Multi Channel Support

Vendor Capability Ratings

Average 79

Quality of Features

Ease of Data Integration

Ease of Implementation

Breadth of Features

Business Value Created

Usability and Intuitiveness

Ease of IT Administration

Availability and Quality of Training

Ease of Customization

Vendor Support

Product Strategy and Rate of Improvement

Microsoft Azure Data Factory Reviews

Nikesh S.

Role: Information Technology
Industry: Technology
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Jul 2022

UI-Based and Easy to Use

Likeliness to Recommend

9 /10

What differentiates Microsoft Azure Data Factory from other similar products?

The differentiating factor is that the tool can perform almost all the tasks like its competitors and it can do all that by writing minimal code and using maximum of UI features. This is something that no other similar service offers

What is your favorite aspect of this product?

The best part of this service is that it can basically connect to almost all the data storage services/tools. This tool is highly recommended for ETL and data migration

What do you dislike most about this product?

There is nothing to dislike. It is one of the most simple tools to use for creating a data pipeline be it a simple one or a complex one

What recommendations would you give to someone considering this product?

This is definitely a super easy data migration tool to use and one must definitely give it a try. It integrates easily with data storage services and performing transformations on the data is very simple

Pros

Continually Improving Product
Performance Enhancing
Enables Productivity
Trustworthy

Shivaraman R.

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

Validated Review

Verified Reviewer

Submitted Jul 2022

Great Cloud ETL suite from MS

Likeliness to Recommend

9 /10

What differentiates Microsoft Azure Data Factory from other similar products?

Cost, ease of use, user experience, integration connectors with all major systems, robust data pipeline and seamless data handling. Varieties of clusters, compute services like HDInsight, Databricks and this is very easy to use for bulk data processing without knowing about the cluster

What is your favorite aspect of this product?

Azure data factory has a wide range of connectors for many on-premise and cloud servers. Very easy to implement

What do you dislike most about this product?

Can improve performance on 3rd party system integration such as oracle, DB2, MySQL, postgres etc as the response is bit slow compared with SQL server

What recommendations would you give to someone considering this product?

Robust ETL tool for enterprises with minimum cost spent on ops and support

Pros

Continually Improving Product
Trustworthy
Generous Negotitation
Over Delivered

Mario Alberto C.

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

Validated Review

Verified Reviewer

Submitted Apr 2022

Fantastic Product under the Microsoft Azure Cloud

Likeliness to Recommend

9 /10

What differentiates Microsoft Azure Data Factory from other similar products?

The easy to use, the graphical approach (workflow style) and the ability to connect to multiple datasources as well.

What is your favorite aspect of this product?

Ability to connect datalakes.

What do you dislike most about this product?

Nothing at this time.

What recommendations would you give to someone considering this product?

For people to start on the Data Warehouse world definitely give a shot.

Pros

Reliable
Helps Innovate
Continually Improving Product
Performance Enhancing

Microsoft Azure Data Factory

What is Microsoft Azure Data Factory?

Company Details

Need Assistance?

Awards & Recognition

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

1 Since last award

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.

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.

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.

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.

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.

Data Virtualization Includes ability to create views joining disparate data sources without the need for persistence.

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.

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.

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.

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 IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

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 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

Nikesh S.

UI-Based and Easy to Use

Likeliness to Recommend

Pros

Shivaraman R.

Great Cloud ETL suite from MS

Likeliness to Recommend

Pros

Mario Alberto C.

Fantastic Product under the Microsoft Azure Cloud

Likeliness to Recommend

Pros

Most Popular Microsoft Azure Data Factory Comparisons

Microsoft SQL Server

Zapier

Oracle Data Integrator

Altova MapForce

Cleo Integration Cloud

SAP Data Services

1
Since last award

Feature Ratings

Data Security

iPaaS

Administrative Features

Real Time Integration

Batch Integration

Synchronization and Replication

Exception Handling and Notifications

Metadata Management

API Management and Orchestration

Data Virtualization

Multi Channel Support

Vendor Capability Ratings

Quality of Features

Ease of Data Integration

Ease of Implementation

Breadth of Features

Business Value Created

Usability and Intuitiveness

Ease of IT Administration

Availability and Quality of Training

Ease of Customization

Vendor Support

Product Strategy and Rate of Improvement