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Microsoft Corporation

Microsoft Azure Synapse Analytics

Composite Score

7.9 /10

CX Score

8.2 /10

73 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

Filter By

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.

82 Likeliness to Recommend

2
Since last award

88 Plan to Renew

2
Since last award

77 Satisfaction of Cost Relative to Value

1
Since last award

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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.

+89 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?

6% Negative

4% Neutral

90% Positive

Pros

Security Protects
Efficient Service
Respectful
Fair

Feature Ratings

Average 82

Data Security

Data Integration

Data Management

Workload Management and Monitoring

Analytics and Data Science Tools

Distributed Processing

Analytics and Reporting

Platform Administration

Real Time Capabilities

Metadata Management

Data Visualization

Vendor Capability Ratings

Average 78

Ease of Data Integration

Ease of IT Administration

Usability and Intuitiveness

Business Value Created

Vendor Support

Ease of Implementation

Quality of Features

Breadth of Features

Availability and Quality of Training

Product Strategy and Rate of Improvement

Ease of Customization

Microsoft Azure Synapse Analytics Reviews

Muhammad F.

Role: Finance
Industry: Finance
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Aug 2022

Powerful and Versatile Data Collection Platform

Likeliness to Recommend

9 /10

What differentiates Microsoft Azure Synapse Analytics from other similar products?

Microsoft Azure Synapse Analytics is comparatively fine-tuning, monitoring, flexibility, and automation. If one wants to use Microsoft Data Platform then Azure is better alternate to work on a large data.

What is your favorite aspect of this product?

Microsoft Azure Synapse Analytics is simple to use as well customizable. It allows easy and quick configuration and integration. It facilitates data discovery, classification, data masking, and complex security models.

What do you dislike most about this product?

Microsoft Azure Synapse Analytics has no conversion tool for code. Poor support and lack of features are also observed. In case of large data queries it gets hanging. Deployment can be difficult.

What recommendations would you give to someone considering this product?

Autoscale without downtime may be made available. Microsoft Azure Synapse Analytics notebook needs maturity. User interface could provide links to external additional content to help new users. Integration to Azure active directory needs to be strong enough.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Dominic K.

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

Validated Review

Verified Reviewer

Submitted Feb 2021

Fantastic product

Likeliness to Recommend

9 /10

What differentiates Microsoft Azure Synapse Analytics from other similar products?

Microsoft provides both the platform and the data center, so you don't have to look for a cloud vendor. It saves you from having to deal with two vendors for the same task.

What is your favorite aspect of this product?

The most valuable feature is the scalability.

What do you dislike most about this product?

The performance needs to improve in future releases.

What recommendations would you give to someone considering this product?

Unfortunately, we have had some issues with the dashboard reporting. Sometimes, the data for specific periods would just appear blank on the dashboard.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

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

Validated Review

Anonymous Reviewer

Submitted Dec 2020

good integration and training but need more stabi

Likeliness to Recommend

10 /10

Pros

Efficient Service
Effective Service
Inspires Innovation
Caring

Microsoft Azure Synapse Analytics

What is Microsoft Azure Synapse Analytics?

Company Details

Need Assistance?

Awards & Recognition

Microsoft Azure Synapse Analytics Ratings

82 Likeliness to Recommend

2 Since last award

88 Plan to Renew

2 Since last award

77 Satisfaction of Cost Relative to Value

1 Since last award

Emotional Footprint Overview

+89 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

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

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

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.

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

Platform Administration Includes back-end interface and administrative capabilities

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.

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.

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.

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.

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.

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

Muhammad F.

Powerful and Versatile Data Collection Platform

Likeliness to Recommend

Pros

Dominic K.

Fantastic product

Likeliness to Recommend

Pros

good integration and training but need more stabi

Likeliness to Recommend

Pros

Most Popular Microsoft Azure Synapse Analytics Comparisons

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Cloudera Data Platform

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Feature Ratings

Data Security

Data Integration

Data Management

Workload Management and Monitoring

Analytics and Data Science Tools

Distributed Processing

Analytics and Reporting

Platform Administration

Real Time Capabilities

Metadata Management

Data Visualization

Vendor Capability Ratings

Ease of Data Integration

Ease of IT Administration

Usability and Intuitiveness

Business Value Created

Vendor Support

Ease of Implementation

Quality of Features

Breadth of Features

Availability and Quality of Training

Product Strategy and Rate of Improvement

Ease of Customization