Microsoft Corporation

Microsoft Azure Synapse Analytics

Composite Score

7.5 /10

CX Score

7.8 /10

64 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.

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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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.

78 Likeliness to Recommend

1
Since last award

83 Plan to Renew

2
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.

+84 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?

9% Negative

6% Neutral

85% Positive

Pros

Security Protects
Efficient Service
Respectful
Fair

Feature Ratings

Average 78

Data Security

Analytics and Reporting

Workload Management and Monitoring

Data Integration

Platform Administration

Data Management

Distributed Processing

Real Time Capabilities

Analytics and Data Science Tools

Metadata Management

Data Visualization

Vendor Capability Ratings

Average 74

Ease of Data Integration

Vendor Support

Business Value Created

Ease of IT Administration

Breadth of Features

Usability and Intuitiveness

Availability and Quality of Training

Ease of Implementation

Quality of Features

Ease of Customization

Product Strategy and Rate of Improvement

Microsoft Azure Synapse Analytics Reviews

Role: C-Level
Industry: Consulting
Involvement: Business Leader or Manager

Validated Review

Anonymous Reviewer

Submitted Aug 2020

Best decision my company could have made.

Likeliness to Recommend

10 /10

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Role: Information Technology
Industry: Food and Beverage
Involvement: Business Leader or Manager

Validated Review

Anonymous Reviewer

Submitted Aug 2020

Handy management and portfolio tool

Likeliness to Recommend

8 /10

Pros

Continually Improving Product
Reliable
Performance Enhancing
Trustworthy

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

78 Likeliness to Recommend

1 Since last award

83 Plan to Renew

2 Since last award

75 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+84 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.

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

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

Platform Administration Includes back-end interface and administrative capabilities

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

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.

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

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.

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.

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

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.

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 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.

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.

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

Best decision my company could have made.

Likeliness to Recommend

Pros

Handy management and portfolio tool

Likeliness to Recommend

Pros

Most Popular Microsoft Azure Synapse Analytics Comparisons

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Feature Ratings

Data Security

Analytics and Reporting

Workload Management and Monitoring

Data Integration

Platform Administration

Data Management

Distributed Processing

Real Time Capabilities

Analytics and Data Science Tools

Metadata Management

Data Visualization

Vendor Capability Ratings

Ease of Data Integration

Vendor Support

Business Value Created

Ease of IT Administration

Breadth of Features

Usability and Intuitiveness

Availability and Quality of Training

Ease of Implementation

Quality of Features

Ease of Customization

Product Strategy and Rate of Improvement