Memory-Optimized Columnstore

Niko Neugebauer clears the air regarding memory-optimized columnstore tables:

I would like to dedicate this blog post to the Memory-Optimised (also known and LOVED as Hekaton) Columnstore Indexes and their limitations in SQL Server 2016.
Disclaimer: the Memory-Optimised Technology is the ground-breaking development, which will be truly appreciated only in the next couple of years, and it has its incredible use cases (and maybe I will be blogging more about this space in the next couple of months), but people needs to understand that mapping InMemory Columnstore Indexes to disk-based Columnstore Indexes 1:1 is a very wrong idea, and that because InMemory technology is significantly younger and less stable than Columnstore Indexes – there are some very significant hidden cornerstones.

It’s important to read this post as “this is not yet a fully-mature product” rather than “this will always be worse.”  But it’s just as important to understand the limitations of the product and not think you’re getting something that you aren’t.

Related Posts

Where Columnar Databases Struggle

Teo Lachev makes a good point regarding columnar databases: A large company uses the SAP HANA ERP system. Users requires real-time access to transactional data. To avoid performance degradation, SLT replication (trigger-based change data capture) replicates data to another SAP HANA system that is used solely for reporting. The problem is that the more detailed […]

Read More

When Rowstore Compression Beats Columnstore

Joe Obbish looks at scenarios where page-level compression on rowstore tables can beat columnstore compression in terms of resultant table size: It’s certainly more difficult to come up with a demo that works without string columns, but consider how the page compression algorithm works. Data can be compressed on page basis, which includes both multiple rows […]

Read More

Categories

October 2016
MTWTFSS
« Sep Nov »
 12
3456789
10111213141516
17181920212223
24252627282930
31