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Microsoft Corporation

Microsoft Azure Synapse Analytics

Composite Score

8.3 /10

CX Score

8.6 /10

83 Reviews Write a Review

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.

Company Details

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Awards & Recognition

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

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5 Top Rated Capabilities

8 Top Rated Features

Latest Award, 2026

0 Top Rated Capabilities

1 Top Rated Features

2024

0 Top Rated Capabilities

4 Top Rated Features

2023

Service Experience

2022

1 Top Rated Capabilities

5 Top Rated Features

2022

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.

84 Likeliness to Recommend

1
Since last award

93 Plan to Renew

1
Since last award

80 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 Synapse Analytics?

4% Negative

3% Neutral

93% Positive

Pros

Security Protects
Efficient Service
Respectful
Fair

Feature Ratings

Average 82

Data Security

Data Integration

Analytics and Data Science Tools

Analytics and Reporting

Data Management

Platform Administration

Distributed Processing

Metadata Management

Workload Management and Monitoring

Real Time Capabilities

Data Visualization

Vendor Capability Ratings

Average 79

Ease of Data Integration

Ease of IT Administration

Vendor Support

Ease of Implementation

Business Value Created

Usability and Intuitiveness

Breadth of Features

Availability and Quality of Training

Quality of Features

Product Strategy and Rate of Improvement

Ease of Customization

Microsoft Azure Synapse Analytics Reviews

Raghwendra S.

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

Validated Review

Verified Reviewer

Submitted Jan 2024

Excellent and modern big data platform

Likeliness to Recommend

9 /10

What differentiates Microsoft Azure Synapse Analytics from other similar products?

Microsoft Azure Synapse is more close to the opensource Big data systems like hadoop , apache spark , yet providing a modern environment for real big data scale with ease of use

What is your favorite aspect of this product?

I love how well all the big data systems are integrated in a single platform . Also the Microsoft Azure Synapse Analytics is very fast in adopting the latest releases of apache spark , hadoop , and good at providing bug fixes

What do you dislike most about this product?

I feel the cost is slightly higher , To get more value the cost can be reduced

What recommendations would you give to someone considering this product?

If you are working in an organisation where ecommerce scale or more big data is generated then microsoft azure synapse analytics is a good choice. Also with the latest open ai llm models, open models , ML platform azure is the best choice for data engineering and data scientists

Pros

Trustworthy
Respectful
Client Friendly Policies
Fair

Ravi K.

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

Validated Review

Verified Reviewer

Submitted Nov 2023

Fantastic product!

Likeliness to Recommend

10 /10

What differentiates Microsoft Azure Synapse Analytics from other similar products?

Easy to use, UI and robustness of the product.

What is your favorite aspect of this product?

Data Factory, ADLS2, Key Valuts, Azure Devops

What do you dislike most about this product?

Cost of the servies

What recommendations would you give to someone considering this product?

not at this momet

Pros

Efficient Service
Effective Service
Caring
Saves Time

Avijeet S.

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

Validated Review

Verified Reviewer

Submitted Oct 2023

legacy system works well with complete MS suite

Likeliness to Recommend

6 /10

What differentiates Microsoft Azure Synapse Analytics from other similar products?

business standarisation.

What is your favorite aspect of this product?

simpler KPIs for regular usage.

What do you dislike most about this product?

slow growth cycle.

What recommendations would you give to someone considering this product?

go ahead with it.

Pros

Helps Innovate
Performance Enhancing
Friendly Negotiation
Security Protects

Microsoft Azure Synapse Analytics

What is Microsoft Azure Synapse Analytics?

Company Details

Need Assistance?

Awards & Recognition

Microsoft Azure Synapse Analytics Ratings

84 Likeliness to Recommend

1 Since last award

93 Plan to Renew

1 Since last award

80 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+91 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 Data Science Tools Includes Analytics and Data science components such as AI, statistical and machine learning libraries

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

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

Platform Administration Includes back-end interface and administrative capabilities

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.

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

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

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

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.

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 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.

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.

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.

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.

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.

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.

Microsoft Azure Synapse Analytics Reviews

Raghwendra S.

Excellent and modern big data platform

Likeliness to Recommend

Pros

Ravi K.

Fantastic product!

Likeliness to Recommend

Pros

Avijeet S.

legacy system works well with complete MS suite

Likeliness to Recommend

Pros

Most Popular Microsoft Azure Synapse Analytics Comparisons

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1
Since last award

1
Since last award

Feature Ratings

Data Security

Data Integration

Analytics and Data Science Tools

Analytics and Reporting

Data Management

Platform Administration

Distributed Processing

Metadata Management

Workload Management and Monitoring

Real Time Capabilities

Data Visualization

Vendor Capability Ratings

Ease of Data Integration

Ease of IT Administration

Vendor Support

Ease of Implementation

Business Value Created

Usability and Intuitiveness

Breadth of Features

Availability and Quality of Training

Quality of Features

Product Strategy and Rate of Improvement

Ease of Customization