When SQL Server 2014 was released, it included Hekaton, Microsoft’s much talked about memory-optimized engine that brings In-Memory OLTP into play. With memory-optimized tables 30 times faster than disk-based tables, higher performance is promised – but at what cost? Jonathan Watts looks at the features that have improved, and those that need careful consideration.
2015-02-20
10,562 reads
As you may know, SQL Server In-Memory OLTP introduced in SQL Server 2014 offers great performance improvements for ETL processes. In this tip we cover techniques you need to know about various behaviors of SQL Server In-Memory OLTP depending on the options you select.
2014-11-28
8,026 reads
Greg Larsen provides a quick primer of the new Dynamic Management Views (DMVs) to help you better understand and manage your In-Memory OLTP tables and your Instances that support In-Memory OLTP tables.
2014-04-16
4,379 reads
SQL Server 2014 comes with a set of enhancements as compared to its processors that brings a lot of business benefits to the applications in OLTP and OLAP environments. This articles highlights a few key enhancements that are built into the product.
2014-04-14
12,012 reads
Microsoft is releasing SQL Server 2014 with a new set of In-Memory OLTP features to significantly improve the OLTP performance and reduce the processing time for servers with a large amount of memory and multi-core processors. Check out this tip to learn more.
2014-01-02
3,724 reads
SQL Server 2014 offers In-Memory OLTP, but you may be hesitant to use this because of the lack of support for constraints on Memory-Optimized Tables. In this tip we will see how we can solve these issues.
2013-11-29
3,860 reads
In-Memory table or what Microsoft refers to as In-Memory OLTP, or Hekaton is a new type of table is available with SQL Server 2014. In this article Greg Larsen discusses the different types of indexes you can place on your In-Memory tables, and how those indexes support different search criteria.
2013-11-13
2,920 reads
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I run this code in SQL Server 2022. What happens?
BACKUP TABLE beercount TO DISK = 'beercount.bak'See possible answers