MySQL Cluster Benchmarks

February 2015: MySQL Cluster 7.4 - 200 Million NoSQL QPS

FlexNoSQL

MySQL Cluster 7.4 delivers massively concurrent NoSQL access - 200 Million reads per second using the FlexAsync benchmark. This was achieved with 32 (out of a maximum 48) data nodes, each running on a server with 2x Intel Haswell E5-2697 v3 CPUs.

Learn more about the results »

White Paper: Guide to Optimizing Performance of the MySQL Cluster Database »

February 2015: MySQL Cluster 7.4 - 2.5 Million SQL Statements per Second

DBT2SQL

MySQL Cluster 7.4 delivers massively concurrent SQL access - 2.5 Million SQL statements per second using the DBT2 benchmark. This was achieved with 16 (out of a maximum 48) data nodes, each running on a server with 2x Intel Haswell E5-2697 v3 CPUs.

White Paper: Guide to Optimizing Performance of the MySQL Cluster Database »

February 2015: MySQL Cluster 7.4 50% Faster Reads & 40% Faster Read/Writes than MySQL Cluster 7.3

SysRO

SysRW

MySQL Cluster 7.4 delivers a 50% performance boost over MySQL Cluster 7.3 based on the Sysbench model; table scans see a particularly good improvement. Tested using 96 CPU threads.

White Paper: Guide to Optimizing Performance of the MySQL Cluster Database »

July 2012: MySQL Cluster Beats 1 Billion Writes per Minute on 30 Intel Servers

MySQL Cluster Beats 1 Billion Writes per Minute on 30 Intel Servers

Learn more about the results »

Challenges in reaching 1 Billion UPDATEs per minute »

Performance Impacts of On-Line Add Node Operations

MySQL Cluster 7.0 adds support for the on-line addition of data nodes to a running cluster, without interruption to the application or users accessing the cluster. The following tests seek to measure the impact to both throughput and latency while a node is being added on-line