Memory-optimized tables must fully reside in memory and can’t be paged out. Unlike disk-based tables where insufficient memory can slowdown an application, the impact to memory-optimized tables upon ...

SQL Server 2014’s biggest new feature is in-memory transaction processing, or in-memory OLTP, which Microsoft claims can make database operations as much as 30 times faster.

In SQL Server 2014, memory-optimized tables do not support cross-database transactions. This means you cannot access another database from the same transaction or the same query that also accesses a ...

In-memory OLTP tables were introduced with SQL Server 2014. These tables keep the entire set of data in RAM, accessing the table contents from memory. This requires that all data fits into the ...

Knowing exactly what in-memory OLTP tables are used for will help you make the most of one of SQL Server's newest features.

The feature of In-Memory Analytics is: Columnstore indexes A columnstore index improves the performance of query workloads by exotic compression of data. In other services the columnstore indexes are ...

New for SQL Server 2016 is the ability to place a Columnstore Index on an In-Memory Table.

SQL Server 2016 is removing a lot of the limitations on memory-optimized tables including the inability to work with the large documents favored by NoSQL style designs.

SQL Server In Memory OLTP Table compatible version of IDistributedCache implementation - xantari/Microsoft.Extensions.Caching.SqlServerInMemory ...