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Limitless analytics at incredible value.
Simply unmatched.

Analytics in Azure is up to 380 percent faster and costs up to 49 percent less than other cloud providers. Why go anywhere else?

Manage your analytics with speed, simplicity, and savings

Empower your whole organization to use analytics to maximize efficiency and reduce costs.

Create an Azure Synapse Analytics workspace

Get guidance through the process of creating a workspace for your end-to-end analytics solution.

Azure Synapse Analytics Toolkit

Learn how to start delivering insights from your data with Azure Synapse Analytics in just a few minutes.

Price-performance is critical for analytics

Azure tops other cloud providers the Total Cost of Ownership (TCO) report from GigaOm*.

Compare cloud analytics TCO for Azure and Google

Azure outperforms Google in both the medium and large enterprise TCO comparisons*. Implementing an end-to-end analytics solution in Azure costs up to 49 percent less compared to Google.

*Performance, TCO, and price-performance claims based on data from a study commissioned by Microsoft and conducted by GigaOm in March 2021 for the Cloud Analytics Platform Total Cost of Ownership report. Analytics in Azure costs up to 59 percent less than other cloud providers according to the Cloud Analytics Platform Total Cost of Ownership report. Data is taken from Test-DS derived queries, and is based on query execution performance testing of 103 queries per vendor, conducted by GigaOm in March 2021; testing commissioned by Microsoft. The primary metric used was the aggregate total of the best execution times for each query. Three power runs were completed. Each of the 103 queries (99 plus part 2 for 4 queries) was executed three times in order (1, 2, 3, … 98, 99) against each vendor cloud platform, and the overall fastest of the three times was used as the performance metric. These best times were then added together to obtain the total aggregate execution time for the entire workload. Prices are based on publicly available US pricing as of March 2021. Actual performance and prices may vary. Learn more about the GigaOm TCO study.

Compare cloud analytics TCO for Azure and AWS

Azure outperforms AWS in both the medium and large enterprise TCO comparisons*. Implementing an end-to-end analytics solution in Azure costs up to 13 percent less compared to AWS.

*Performance, TCO, and price-performance claims based on data from a study commissioned by Microsoft and conducted by GigaOm in March 2021 for the Cloud Analytics Platform Total Cost of Ownership report. Analytics in Azure costs up to 59 percent less than other cloud providers according to the Cloud Analytics Platform Total Cost of Ownership report. Data is taken from Test-DS derived queries, and is based on query execution performance testing of 103 queries per vendor, conducted by GigaOm in March 2021; testing commissioned by Microsoft. The primary metric used was the aggregate total of the best execution times for each query. Three power runs were completed. Each of the 103 queries (99 plus part 2 for 4 queries) was executed three times in order (1, 2, 3, … 98, 99) against each vendor cloud platform, and the overall fastest of the three times was used as the performance metric. These best times were then added together to obtain the total aggregate execution time for the entire workload. Prices are based on publicly available US pricing as of March 2021. Actual performance and prices may vary. Learn more about the GigaOm TCO study.

Compare cloud analytics TCO for Azure and Snowflake

Azure outperforms Snowflake in both the medium and large enterprise TCO comparisons*. Implementing an end-to-end analytics solution in Azure costs up to 59 percent less compared to Snowflake.

*Performance, TCO, and price-performance claims based on data from a study commissioned by Microsoft and conducted by GigaOm in March 2021 for the Cloud Analytics Platform Total Cost of Ownership report. Analytics in Azure costs up to 59 percent less than other cloud providers according to the Cloud Analytics Platform Total Cost of Ownership report. Data is taken from Test-DS derived queries, and is based on query execution performance testing of 103 queries per vendor, conducted by GigaOm in March 2021; testing commissioned by Microsoft. The primary metric used was the aggregate total of the best execution times for each query. Three power runs were completed. Each of the 103 queries (99 plus part 2 for 4 queries) was executed three times in order (1, 2, 3, … 98, 99) against each vendor cloud platform, and the overall fastest of the three times was used as the performance metric. These best times were then added together to obtain the total aggregate execution time for the entire workload. Prices are based on publicly available US pricing as of March 2021. Actual performance and prices may vary. Learn more about the GigaOm TCO study.

Turn data into insights for everyone with breakthrough price-performance, security, and speed from Azure Synapse Analytics

Unmatched price-performance

Take advantage of top performance and value. Get accelerated query performance for complex and critical workloads.

Insights for all

Make insights accessible to all your teams, using analytics solutions compatible with your existing development, business intelligence, and data science tools. Bring petabyte-scale analytics to Power BI using Azure Synapse Analytics.

Advanced security

Get a comprehensive set of security capabilities with data protection, access control, and built-in threat detection. Meet the most stringent requirements with proactive compliance and multi-layered Azure security.

Cloud Analytics Platform Total Cost of Ownership

See how Azure provides industry-best TCO for implementing an end-to-end analytics platform when compared to other cloud providers. See how Azure compares to AWS, Google, and Snowflake.

Read the report

GigaOm Analytics Field Test-DS Benchmark Report

See how Azure Synapse outperforms other cloud providers as a scalable, highly performant, analytical cloud solution at an unmatched performance and value based on the industry-standard TPC-DS benchmark queries.

Read the report

The Total Economic Impact of Microsoft Azure Analytics with Power BI

Learn how companies achieved better analytics performance at a lower cost. With a Microsoft analytics and business intelligence (BI) solution, based on companies interviewed and surveyed, Forrester projects a 271 percent return on investment. Read the study and financial analysis in this Forrester Consulting study commissioned by Microsoft.

Read the study

Why Analytics Strategies Fall Short for Some, but Not Others

Find out why business leaders are adopting enterprise-wide approaches to data and analytics. Learn about common challenges to analytics, BI, and AI adoption, and understand how to help your organization improve its analytics maturity. Read the Harvard Business Review Analytic Services report to prepare for digital transformation and maximize your ROI on analytics services.

Read the report

Seven Key Principles of Cloud Security and Privacy

Security and privacy are fundamental requirements for every organization. Implementing these seven key business principles will help you ensure you aren't compromising your security and privacy strategy.

Read the white paper

Security and Privacy for the Cloud Data Warehouse

When choosing a database platform, security and privacy should be a foundational component of its design. Watch this on demand webinar to learn what to assess when choosing a data warehouse.

Watch the webinar

See how customers are getting powerful insights with Azure analytics

"Data is most powerful when it's accessible and understandable. With this Azure solution, our employees can query the data however they want versus being confined to the few rigid queries our previous system required. It's very easy for them to use Power BI Pro to integrate new data sets to deliver enormous value. When you put BI solutions in the hands of your boots on the ground—your sales force, marketing managers, product managers—it delivers a huge impact to the business."

Wilmer Peres, Information Services Director, Reckitt Benckiser
Reckitt Benckiser

"Azure SQL Data Warehouse instantly gave us equal or better performance as our current system, which has been incrementally tuned over the last 6.5 years for our demanding performance requirements."

Lara Minor, Senior Enterprise Data Manager, Columbia Sportswear
Columbia Sportwear Company

"We leveraged the elasticity of SQL Data Warehouse to scale the instance up or down, so that we only pay for the resources when they're in use, significantly lowering our costs. This architecture performs significantly better than the legacy on-premises solutions it replaced, and it also provides a single source of truth for all of the company's data."

Chetan Kundavaram, Global Director, Anheuser-Busch InBev
AB InBev

**Gartner, Magic Quadrant for Analytics and Business Intelligence Platforms, 15 February 2021, James Richardson, Kurt Schlegel, Rita Sallam, Austin Kronz, Julian Sun

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

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