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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

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

Aditya J.

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

Validated Review

Verified Reviewer

Submitted Mar 2024

Good product for data analytics needs!

Likeliness to Recommend

8 /10

What differentiates Microsoft Azure Synapse Analytics from other similar products?

Cost effective data analytics platform.

What is your favorite aspect of this product?

Easy to implement and manageable platform

What do you dislike most about this product?

Nothing as such , this tool meets all the required business expectations.

What recommendations would you give to someone considering this product?

Good tool if you are considering a all in one data analytics platoform

Pros

Helps Innovate
Continually Improving Product
Performance Enhancing
Enables Productivity

Joshua R.

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

Validated Review

Verified Reviewer

Submitted Mar 2024

Simply put, product disappointed

Likeliness to Recommend

2 /10

What differentiates Microsoft Azure Synapse Analytics from other similar products?

It's not as good as other new age DWH+ competitors

What is your favorite aspect of this product?

They tied to have cutting edge features at the time, but did not work as expected (materialized views for example)

What do you dislike most about this product?

Buggy and expensive, did not live up to the promises made by Microsoft.

What recommendations would you give to someone considering this product?

Try Snowflake or Databricks instead.

Pros

Trustworthy
Respectful
Acts with Integrity
Fair

Cons

Less Reliable
Less Performance Enhancing
Less Productive

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

Arthur V.

Fantastic product

Likeliness to Recommend

Pros

Aditya J.

Good product for data analytics needs!

Likeliness to Recommend

Pros

Joshua R.

Simply put, product disappointed

Likeliness to Recommend

Pros

Cons

Most Popular Microsoft Azure Synapse Analytics Comparisons

Amazon Redshift

Snowflake

Google BigQuery

Cloudera Data Platform

SAP HANA Cloud

Oracle Exadata

2
Since last award

2
Since last award

1
Since last award

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