Insights for all at incredible value. Simply unmatched.
Analytics in Azure is up to 14 times faster and costs 94 percent less than other cloud providers. Why go anywhere else?
Price-performance is critical for analytics
Azure tops other cloud providers in both the TPC-H and TPC-DS benchmark reports from GigaOm.*
Compare price-performance of Azure SQL Data Warehouse and Google BigQuery
Azure SQL Data Warehouse outperforms Google BigQuery in all TPC-H and TPC-DS* benchmark queries. SQL Data Warehouse consistently demonstrated better price-performance compared with BigQuery, and costs up to 94 percent less when measured against SQL Data Warehouse clusters running TPC-H* benchmark queries.
Compare price-performance of Azure SQL Data Warehouse and Amazon Redshift
GigaOm benchmarks also revealed that Azure SQL Data Warehouse outperforms Amazon Redshift in 86 percent of all the TPC-H* benchmark queries. SQL Data Warehouse also consistently demonstrated better price-performance compared with Redshift and costs up to 46 percent less when measured against SQL Data Warehouse clusters running TPC-DS* benchmark queries.
*Performance and price-performance claims based on data from a study commissioned by Microsoft and conducted by GigaOm in January 2019 for the TPC-H benchmark report and March 2019 for the TPC-DS benchmark report. Analytics in Azure is up to 14 times faster and costs 94 percent less, according to the TPC-H benchmark, and is up to 12 times faster and costs 73 percent less, according to the TPC-DS benchmark. Benchmark data is taken from recognized industry standards, TPC Benchmark™ H (TPC-H) and TPC Benchmark™ DS (TPC-DS), and is based on query execution performance testing of 66 queries for TPC-H and 309 queries for TPC-DS, conducted by GigaOm in January 2019 and March 2019, respectively; testing commissioned by Microsoft. Price-performance is calculated by GigaOm as the TPC-H/TPC-DS metric of cost of ownership divided by composite query. Prices are based on publicly available US pricing as of January 2019 for TPC-H queries and March 2019 for TPC-DS queries. Actual performance and prices may vary. Learn more about the GigaOm benchmark study
Turn data into insights for everyone with breakthrough price-performance, security, and speed from SQL Data Warehouse
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 SQL Data Warehouse.
Take advantage of top performance and value. Get accelerated query performance for complex and critical workloads.
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.
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.
GigaOm report: Data Warehouse in the Cloud Benchmark
See how SQL Data Warehouse outperforms other cloud providers as a scalable, highly performant, analytical cloud solution at an unmatched performance and value based on the industry-standard TPC-H benchmark.
GigaOm report: Cloud Data Warehouse Performance Testing
See how SQL Data Warehouse outperforms other cloud providers in complex and demanding queries that enterprises depend on to run critical business functions based on the industry-standard TPC-DS benchmark.
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.
See how customers are getting powerful insights with Azure analytics
Wilmer Peres, Information Services Director, Reckitt Benckiser
"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."
Guido Vetter, Head of Corporate Center of Excellence Advanced Analytics and Big Data, Daimler AG
"It was immediately clear to us that with Azure, particularly Azure Key Vault, we would be able to meet our own rigorous requirements for data protection and security."
Lara Minor, Senior Enterprise Data Manager, Columbia Sportswear
"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."
Chetan Kundavaram, Global Director, Anheuser-Busch InBev
"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."
Explore more analytics resources
**Gartner, Magic Quadrant for Data Management Solutions for Analytics, Adam Ronthal, Roxane Edjlali, Rick Greenwald, 21 January 2019. 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.