Netherlands: Software

Introductie van Micorosoft SQL Server 2016

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1 C H A P T E R 1 | Faster queries C H A P T E R 1 Faster queries When users want data, they want it as fast as you can give it to them. Microsoft SQL Server 2016 includes several options for enabling faster queries. Memory-optimized tables now support even faster online transaction processing (OLTP) workloads, with better throughput as a result of new parallelized operations. For analytic workloads, you can take advantage of updateable, clustered columnstore indexes on memory- optimized tables to achieve queries that are up to one hundred times faster. Not only is the database engine better and faster in SQL Server 2016, but enhancements to the Analysis Services engine also deliver faster performance for both multidimensional and tabular models. The faster you can deliver data to your users, the faster they can use that data to make better decisions for your organization. In-Memory OLTP enhancements Introduced in SQL Server 2014, In-Memory OLTP helps speed up transactional workloads with high concurrency and too many latches by moving data from disk-based tables to memory-optimized tables and by natively compiling stored procedures. In-memory OLTP can also help improve the performance of data warehouse staging by using nondurable, memory-optimized tables as staging tables. Although there were many good reasons to use memory-optimized tables in the first release of In-Memory OLTP, several limitations restricted the number of use cases for which In-memory OLTP was suitable. In this section, we describe the many enhancements that make it easier to put memory- optimized tables to good use. Note For a complete list of T-SQL constructs that are not supported by memory-optimized tables in SQL Server 2016, see "Transact-SQL Constructs Not Supported by In-Memory OLTP" at

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