{"id":1693,"date":"2013-11-15T10:00:00","date_gmt":"2013-11-15T18:00:00","guid":{"rendered":""},"modified":"2024-01-22T22:49:05","modified_gmt":"2024-01-23T06:49:05","slug":"how-does-sql-server-parallel-data-warehouse-pdw-deliver-the-performance-that-it-does","status":"publish","type":"post","link":"https:\/\/www.microsoft.com\/en-us\/sql-server\/blog\/2013\/11\/15\/how-does-sql-server-parallel-data-warehouse-pdw-deliver-the-performance-that-it-does\/","title":{"rendered":"How Does SQL Server Parallel Data Warehouse (PDW) Deliver the Performance that it Does?"},"content":{"rendered":"<p><a href=\"https:\/\/www.microsoft.com\/en-us\/sql-server\/blog\/2013\/11\/06\/get-to-know-the-sql-server-thats-purpose-built-for-high-performance-data-warehousing-and-big-data-analytics-the-sql-server-parallel-data-warehouse-appliance\">Last week<\/a>, we introduced you to SQL Server PDW, the version of SQL Server built specifically for high performance data warehousing that delivers performance gains of up to 50x compared to traditional data warehouses. The next logical question we often get is \u201chow is this possible?\u201d Is it just SQL Server running on special hardware? And the answer is yes\u2026but there is a lot more to it than that.<\/p>\n<p>PDW has a shared nothing, Massively Parallel Processing (MPP) architecture allows for better performance when loading and querying data simultaneously as well as performing the types of complex querying that is common amongst today\u2019s analytically driven enterprises. The MPP architecture is also what enables PDW\u2019s seamless linear scalability from terabytes to 6 petabytes of data. This is a fundamentally different architecture than traditional, Symmetric Multi-Processing (SMP) that traditional SQL Server is based on and this MPP architecture is really at the heart of what\u2019s different about PDW and how it\u2019s able to deliver the ground breaking performance that it does.<\/p>\n<p>To learn more about how PDW works and some of the performance gains we\u2019ve seen in typical data warehouse scenarios, we encourage you to <a href=\"http:\/\/download.microsoft.com\/download\/5\/0\/1\/5015A62E-06BF-4DEC-B90A-37D52E279DE5\/SQL_Server_2012_Parallel_Data_Warehouse_Breakthrough_Platform_White_Paper.pdf\">download this whitepaper<\/a> today!<\/p>\n<p style=\"text-align:center;\">\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/sql-server\/blog\/wp-content\/uploads\/2018\/03\/4721.pdw20MPP.png\" original-url=\"http:\/\/blogs.technet.com\/cfs-file.ashx\/__key\/communityserver-blogs-components-weblogfiles\/00-00-00-60-54\/4721.pdw-MPP.png\"><img decoding=\"async\" src=\"https:\/\/www.microsoft.com\/en-us\/sql-server\/blog\/wp-content\/uploads\/2018\/03\/4721.pdw20MPP.png\" original-url=\"http:\/\/blogs.technet.com\/resized-image.ashx\/__size\/550x0\/__key\/communityserver-blogs-components-weblogfiles\/00-00-00-60-54\/4721.pdw-MPP.png\" alt=\"Massively Parallel Processing Engine\" srcset=\"\"><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Last week, we introduced you to SQL Server PDW, the version of SQL Server built specifically for high performance data warehousing that delivers performance gains of up to 50x compared to traditional data warehouses.<\/p>\n","protected":false},"author":1457,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"ep_exclude_from_search":false,"_classifai_error":"","_classifai_text_to_speech_error":"","footnotes":""},"post_tag":[],"product":[],"content-type":[2448],"topic":[2463],"coauthors":[2487],"class_list":["post-1693","post","type-post","status-publish","format-standard","hentry","content-type-updates","topic-data-warehousing","review-flag-6-1593580457-144"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>How Does SQL Server Parallel Data Warehouse (PDW) Deliver the Performance that it Does? - Microsoft SQL Server Blog<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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