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?
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 in both analytics field tests from GigaOm derived from the TPC-H & TPC-DS benchmarks.*
Compare price-performance of Azure Synapse Analytics and Google BigQuery
Azure Synapse (formerly Azure SQL Data Warehouse) outperforms Google BigQuery in all Test-H and Test-DS* benchmark queries from GigaOm. Azure Synapse consistently demonstrated better price-performance compared with BigQuery, and costs up to 94 percent less when measured against Azure Synapse clusters running Test-H* 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 GigaOm Analytics Field Test-H benchmark report and March 2019 for the GigaOm Analytics Field Test -DS benchmark report. Analytics in Azure is up to 14 times faster and costs 94 percent less, according to the GigaOm Analytics Field Test-H benchmark, and is up to 12 times faster and costs 73 percent less, according to the GigaOm Analytics Field Test-DS benchmark. Benchmark data is derived from recognized industry standards, TPC Benchmark™ H (TPC-H) and TPC Benchmark™ DS (TPC-DS). The GigaOm Analytics Field Test results are based on query execution performance testing of 66 TPC-H-like queries for TPC-H and 309 TPC-DS-like, conducted by GigaOm in January 2019 and March 2019, respectively; testing commissioned by Microsoft. Price-performance is calculated by GigaOm as the GigaOm Analytics Field Test-H/ GigaOm Analytics Field Test-DS metric of cost of ownership divided by composite query. Prices are based on publicly available US pricing as of January 2019 for the GigaOm Analytics Field Test-H queries and March 2019 for the GigaOm Analytics Field Test-DS queries. Actual performance and prices may vary. Both the GigaOm Analytics Field Test-H and Test-DS is derived from the TPC-H and TPC-DS benchmarks and as such is not comparable to published TPC-H or TPC-DS benchmarks results, as the GigaOm Analytics Field Test-H and GigaOm Analytics Field Test-DS does not fully comply with the TPC-H or TPC-DS benchmark. Learn more about the GigaOm analytics field tests.
Compare price-performance of Azure Synapse Analytics and Amazon Redshift
GigaOm field tests also revealed that Azure Synapse (formerly Azure SQL Data Warehouse) outperforms Amazon Redshift in 86 percent of all the Test-H* benchmark queries. Azure Synapse Analytics also consistently demonstrated better price-performance compared with Redshift and costs up to 46 percent less when measured against Azure Synapse Analytics clusters running Test-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 GigaOm Analytics Field Test-H benchmark report and March 2019 for the GigaOm Analytics Field Test -DS benchmark report. Analytics in Azure is up to 14 times faster and costs 94 percent less, according to the GigaOm Analytics Field Test-H benchmark, and is up to 12 times faster and costs 73 percent less, according to the GigaOm Analytics Field Test-DS benchmark. Benchmark data is derived from recognized industry standards, TPC Benchmark™ H (TPC-H) and TPC Benchmark™ DS (TPC-DS). The GigaOm Analytics Field Test results are based on query execution performance testing of 66 TPC-H-like queries for TPC-H and 309 TPC-DS-like, conducted by GigaOm in January 2019 and March 2019, respectively; testing commissioned by Microsoft. Price-performance is calculated by GigaOm as the GigaOm Analytics Field Test-H/ GigaOm Analytics Field Test-DS metric of cost of ownership divided by composite query. Prices are based on publicly available US pricing as of January 2019 for the GigaOm Analytics Field Test-H queries and March 2019 for the GigaOm Analytics Field Test-DS queries. Actual performance and prices may vary. Both the GigaOm Analytics Field Test-H and Test-DS is derived from the TPC-H and TPC-DS benchmarks and as such is not comparable to published TPC-H or TPC-DS benchmarks results, as the GigaOm Analytics Field Test-H and GigaOm Analytics Field Test-DS does not fully comply with the TPC-H or TPC-DS benchmark. Learn more about the GigaOm analytics field tests.
Turn data into insights for everyone with breakthrough price-performance, security, and speed from Azure Synapse Analytics
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.
Unmatched price-performance
Take advantage of top performance and value. Get accelerated query performance for complex and critical workloads.
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.
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.
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.
GigaOm Analytics Field Test-H 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-H benchmark queries.
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.
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.
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.
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."
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
Reports
Infographics
Blogs
E-books
- Three Ways Analytics Can Help: Respond, Adapt, and Save Gated
- Four Steps to Get Started with Azure Synapse Analytics
- Code-free ETL with Azure Synapse Analytics
- Cloud Analytics with Microsoft Azure
- The Scientist, the Engineer, and the Warehouse
- Four Ways to Maximize Your Business Intelligence Investments
**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.