External Article

In-Memory OLTP – SQL Server In-Memory OLTP Internals Overview

In-Memory OLTP (project “Hekaton”) is a new database engine component, fully integrated into SQL Server. It is optimized for OLTP workloads accessing memory resident data. In-Memory OLTP allows OLTP workloads to achieve significant improvements in performance, and reduction in processing time. Tables can be declared as ‘memory optimized’ to enable In-Memory OLTP’s capabilities. Memory-optimized tables are fully transactional and can be accessed using Transact-SQL. Transact-SQL stored procedures can be compiled to machine code for further performance improvements on memory-optimized tables. The engine is designed for high concurrency and blocking is minimal.

External Article

Databases with MAXSIZE Set

Every DBA needs to appropriately manage database growth. No DBA wants an application to fail because the database is out of space. A database can run out of space a number of different ways. One of those ways is to set the MAXSIZE of a database. When the database grows to the MAXSIZE the database will not grow anymore and if someone tries to add more rows they will get an error saying the database is full.

SQLServerCentral Editorial

Providing Feedback to Speakers

One of the greatest things that has arisen in the past 10 years or so is a veritable stream of great conferences for people to learn how to write better software, many of them low cost or even free. In the Data Platform community, we have had nearly 800 free SQL Saturday events around the […]

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Question of the Day

The Distance Metric

In the new VECTOR_DISTANCE() function in SQL Server 2025, the first parameter is the distance_metric. What is this?

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