In-Memory Analytics

Sunil Agarwal introduces us to In-Memory Analytics, forthcoming in SQL Server 2016:

SQL Server 2016 has significant advancements over SQL Server 2014 for In-Memory analytics. Some highlights are functionality (e.g. ability to create traditional nonclustered index to enforce PK/FK), performance (e.g. addition of new BatchMode operators, Aggregate pushdown), Online index defragmentation, and supportability (e.g. new DMVs, Perfmon counters and XEvents).

His post talks a little bit about in-memory, but focuses more on clustered columnstore indexes.  I like that columnstore indexes are getting V3 improvements, and I think they’ll be even more useful.  Whether the “in-memory” part becomes useful is a different question; I personally have seen a very limited adoption of In-Memory OLTP (and a few huge bugs for the people brave enough to try it).

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Out Of Memory Conditions And In-Memory OLTP

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Migrating A Memory-Optimized Database

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