Hello, compañeros! You’ve heard of Hekaton and in-memory tables before, but what does in memory really mean for your database? Perhaps you have questions like I did, like how does in memory OLTP differ from disk-based tables? What data types aren’t allowed in in-memory tables? Is in-memory only an “on premises” feature or does Hekaton work in Azure too? Is there a minimum amount of memory required for in-memory tables?
In Episode 34 of the SQL Data Partners Podcast, we’re going to talk about in-memory OLTP and in-memory tables with Jos De Bruijn. Jos is a Program Manager at Microsoft for SQL Server In-memory OLTP. We sit with Jos and we explore how in-memory tables work and why they’re just as durable as traditional disk-bound tables. He lays out the whole process. Jos also answers common DBA concerns about them and discusses how to make them efficient. Jos reveals the SQL Server 2016 features that affect in-memory OLTP.
As always, you can catch the show notes for today's episode at