Handling IoT Traffic With SQL Server

Perry Skountrianos builds a reference architecture for handling nearly one and a half million rows per second with SQL Server:

The following sample demonstrates the high scale and performance of SQL Database, with the ability to insert 1.4 million rows per second by using a non-durable memory-optimized table to speed up data ingestion, while managing the In-Memory OLTP storage footprint by offloading historical data to a disk-based Columnstore table for real time analytics. One of the customers already leveraging Azure SQL Database for their entire IoT solution is Quorum International Inc., who was able to double their key database’s workload while lowering their DTU consumption by 70%.

If you hit on the right scenario, memory-optimized tables can be great.

Related Posts

Batch Mode Memory Fractions

Joe Obbish explains what memory fractions are and how incorrect calculations can lead to tempdb spills: There’s very little information out there about memory fractions. I would define them as information in the query plan that can give you clues about each operator’s share of the total query memory grant. This is naturally more complicated for […]

Read More

Digging Into The In-Memory Columnstore Location

Niko Neugebauer does some investigation into where, exactly, memory-optimized columnstore data goes: This is a rather simple blog post that is dedicated to the theme of the In-Memory Columnstore Indexes location. This has been a constant topic of discussion over a long period of time, even during the public events – and there is a […]

Read More

Categories

November 2017
MTWTFSS
« Oct Dec »
 12345
6789101112
13141516171819
20212223242526
27282930