Microsoft Corporation

Microsoft Azure Synapse Analytics

Composite Score

7.6 /10

CX Score

7.9 /10

66 Reviews Write a Review

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What is Microsoft Azure Synapse Analytics?

Azure Synapse is a limitless analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless or provisioned resources—at scale. Azure Synapse brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

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Awards & Recognition

Microsoft Azure Synapse Analytics won the following awards in the Analytical Data Store category

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0 Top Rated Capabilities

1 Top Rated Features

2024

0 Top Rated Capabilities

4 Top Rated Features

2023

1 Top Rated Capabilities

5 Top Rated Features

2022

2020 Data Quadrant Gold Medalist

2020

2019 Data Quadrant Gold Medalist

2019

Microsoft Azure Synapse Analytics 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 Synapse Analytics.

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.

79 Likeliness to Recommend

2
Since last award

84 Plan to Renew

3
Since last award

75 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.

+85 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 Synapse Analytics?

8% Negative

6% Neutral

86% Positive

Pros

Security Protects
Efficient Service
Respectful
Fair

Feature Ratings

Average 79

Data Security

Data Integration

Analytics and Reporting

Workload Management and Monitoring

Platform Administration

Data Management

Analytics and Data Science Tools

Distributed Processing

Real Time Capabilities

Metadata Management

Data Visualization

Vendor Capability Ratings

Average 75

Ease of Data Integration

Ease of IT Administration

Business Value Created

Vendor Support

Usability and Intuitiveness

Breadth of Features

Quality of Features

Ease of Customization

Ease of Implementation

Availability and Quality of Training

Product Strategy and Rate of Improvement

Microsoft Azure Synapse Analytics Reviews

Role: Consultant
Industry: Technology
Involvement: Business Leader or Manager

Validated Review

Anonymous Reviewer

Submitted Jan 2025

Easy to use for big data specialiast

Likeliness to Recommend

9 /10

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Arthur V.

Role: Operations
Industry: Other
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Nov 2024

Fantastic product

Likeliness to Recommend

9 /10

What differentiates Microsoft Azure Synapse Analytics from other similar products?

Microsoft Azure Synapse Analytics is generally considered a strong cloud-based data analytics platform, praised for its comprehensive data integration capabilities

What is your favorite aspect of this product?

Users appreciate the ability to work with both SQL and Spark within a single interface, allowing for flexible data processing depending on the workload.

What recommendations would you give to someone considering this product?

The emergence of Microsoft Fabric as a newer data analytics platform might raise questions about the future direction of Azure Synapse Analytics. Microsoft Fabric might be a more advanced option for certain use cases, potentially rendering Synapse somewhat outdated.

Pros

Helps Innovate
Continually Improving Product
Reliable
Trustworthy

Syed A.

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

Validated Review

Verified Reviewer

Submitted Oct 2024

Great Features, but too technical

Likeliness to Recommend

8 /10

What differentiates Microsoft Azure Synapse Analytics from other similar products?

Its Integrated Analytics Platform and Serverless and Dedicated Options are the good features which make Azure Synapse Analytics a best product for handling the data analytics operations.

What is your favorite aspect of this product?

My favourite aspect of Azure Synapse Analytics is its Data Integration options and its wide range of connectors.

What do you dislike most about this product?

I mostly dislike about this product for its high technical word usage in its integrated console and connectors.

What recommendations would you give to someone considering this product?

I would give the Security, Integrity, Platform Administrator Maintenance and Data Governance recommendation to consider this product, and I would give my personal suggestion to the buyer for this product

Pros

Saves Time
Acts with Integrity
Security Protects
Helps Innovate

Cons

Charges for Enhancements

Microsoft Azure Synapse Analytics

What is Microsoft Azure Synapse Analytics?

Company Details

Need Assistance?

Awards & Recognition

2020 Data Quadrant Gold Medalist

2019 Data Quadrant Gold Medalist

Microsoft Azure Synapse Analytics Ratings

79 Likeliness to Recommend

2 Since last award

84 Plan to Renew

3 Since last award

75 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+85 Net Emotional Footprint

How much do users love Microsoft Azure Synapse Analytics?

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.

Data Integration Includes integration of data from multiple sources, merging systems, transforming data and capture data to form a unified view of a company's data assets

Analytics and Reporting Includes historical & real-time dashboard visualizations, detailed & summary reporting and easy data extraction for data analysis.

Workload Management and Monitoring Includes task, performance, monitoring and time management

Platform Administration Includes back-end interface and administrative capabilities

Data Management Includes data sharing, data storage, records management, and data security.

Analytics and Data Science Tools Includes Analytics and Data science components such as AI, statistical and machine learning libraries

Distributed Processing Data storage and processing is shared among many physical or virtual independents servers or sites for high volume data with seamless access to large datasets.

Real Time Capabilities Ability to analytics and visualize data as soon as it becomes available in underline systems.

Metadata Management Easily manage metadata associated with customer data or audience segments.

Data Visualization Thematic visualization with the ability to change views, including color, pattern/icon, dot-density, chart, scaled-symbol, and 3D prism themes

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

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

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.

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.

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.

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.

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 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.

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.

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 Synapse Analytics Reviews

Easy to use for big data specialiast

Likeliness to Recommend

Pros

Arthur V.

Fantastic product

Likeliness to Recommend

Pros

Syed A.

Great Features, but too technical

Likeliness to Recommend

Pros

Cons

Most Popular Microsoft Azure Synapse Analytics Comparisons

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Oracle Exadata

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Feature Ratings

Data Security

Data Integration

Analytics and Reporting

Workload Management and Monitoring

Platform Administration

Data Management

Analytics and Data Science Tools

Distributed Processing

Real Time Capabilities

Metadata Management

Data Visualization

Vendor Capability Ratings

Ease of Data Integration

Ease of IT Administration

Business Value Created

Vendor Support

Usability and Intuitiveness

Breadth of Features

Quality of Features

Ease of Customization

Ease of Implementation

Availability and Quality of Training

Product Strategy and Rate of Improvement