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Microsoft Corporation

Microsoft Azure Synapse Analytics

Composite Score

8.2 /10

CX Score

8.4 /10

76 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

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.

83 Likeliness to Recommend

1
Since last award

90 Plan to Renew

1
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

3% Neutral

91% Positive

Pros

Security Protects
Efficient Service
Respectful
Fair

Feature Ratings

Average 82

Data Security

Data Integration

Data Management

Analytics and Data Science Tools

Distributed Processing

Analytics and Reporting

Workload Management and Monitoring

Platform Administration

Real Time Capabilities

Metadata Management

Data Visualization

Vendor Capability Ratings

Average 78

Ease of Data Integration

Ease of IT Administration

Vendor Support

Ease of Implementation

Usability and Intuitiveness

Business Value Created

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

FERANMI O.

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

Validated Review

Verified Reviewer

Submitted Oct 2025

Efficient, Intuitive, and Reliable

Likeliness to Recommend

9 /10

What differentiates Microsoft Azure Synapse Analytics from other similar products?

Microsoft Azure Synapse Analytics stands out for its seamless integration within the broader Azure ecosystem, offering unified data ingestion, storage, and analytics in one platform. Unlike many competitors, it combines data warehousing and big data analytics under a single service, eliminating the need for separate tools. Its integration with Power BI, Azure Machine Learning, and Data Factory enables smooth workflows and real-time insights. The scalability, strong security, and pay-as-you-go pricing also make it ideal for enterprises aiming to manage both structured and unstructured data efficiently.

What is your favorite aspect of this product?

My favorite aspect of Microsoft Azure Synapse Analytics is its ability to unify data warehousing and big data analytics in one platform. I really like how easily it integrates with other Azure services like Power BI and Data Factory, making it simple to build end-to-end data solutions without switching between tools. The on-demand scalability and serverless query capabilities are also a big plus, allowing me to handle large data sets efficiently while keeping costs under control. It’s a powerful, flexible tool that streamlines complex analytics workflows.

What do you dislike most about this product?

What I dislike most about Microsoft Azure Synapse Analytics is the learning curve for new users and the occasional complexity in setup and configuration. The interface, while powerful, can feel overwhelming for those not deeply familiar with Azure services. Some performance tuning tasks also require advanced knowledge to optimize queries and manage resources effectively. Additionally, the pricing structure can be a bit confusing at first, especially when balancing between dedicated and serverless options. Better documentation and clearer cost management tools would make the experience much smoother.

What recommendations would you give to someone considering this product?

I’d recommend that anyone considering Microsoft Azure Synapse Analytics take the time to understand its architecture and how it fits into their existing data ecosystem. Invest in learning the basics of Azure services, as integration with tools like Power BI and Data Factory is key to maximizing its potential. Start with small projects to grasp performance tuning and cost optimization before scaling up. It’s best suited for organizations that already rely on Azure or plan to build a comprehensive data pipeline. With proper setup and training, it can deliver exceptional analytics performance and scalability.

Pros

Helps Innovate
Enables Productivity
Unique Features
Efficient Service

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

Sudhir B.

Role: Finance
Industry: Finance
Involvement: Business Leader or Manager

Validated Review

Verified Reviewer

Submitted Aug 2024

Fantastic product

Likeliness to Recommend

8 /10

What differentiates Microsoft Azure Synapse Analytics from other similar products?

Support and maintenance

What is your favorite aspect of this product?

It's managed service by vendor

What do you dislike most about this product?

No such thing to dislike

What recommendations would you give to someone considering this product?

Good product provides ease of use

Pros

Generous Negotitation
Helps Innovate
Continually Improving Product
Reliable

Microsoft Azure Synapse Analytics

What is Microsoft Azure Synapse Analytics?

Company Details

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Awards & Recognition

Microsoft Azure Synapse Analytics Ratings

83 Likeliness to Recommend

1 Since last award

90 Plan to Renew

1 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.

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.

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

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.

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.

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.

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

FERANMI O.

Efficient, Intuitive, and Reliable

Likeliness to Recommend

Pros

Syed A.

Great Features, but too technical

Likeliness to Recommend

Pros

Cons

Sudhir B.

Fantastic product

Likeliness to Recommend

Pros

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Feature Ratings

Data Security

Data Integration

Data Management

Analytics and Data Science Tools

Distributed Processing

Analytics and Reporting

Workload Management and Monitoring

Platform Administration

Real Time Capabilities

Metadata Management

Data Visualization

Vendor Capability Ratings

Ease of Data Integration

Ease of IT Administration

Vendor Support

Ease of Implementation

Usability and Intuitiveness

Business Value Created

Quality of Features

Breadth of Features

Availability and Quality of Training

Product Strategy and Rate of Improvement

Ease of Customization