MySQL Cluster Benchmarks
February 2015: MySQL Cluster 7.4 - 200 Million NoSQL QPS
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.
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White Paper: Guide to Optimizing Performance of the MySQL Cluster Database »
February 2015: MySQL Cluster 7.4 - 2.5 Million SQL Statements per Second
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
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 »
June 2013: MySQL Cluster 7.3: 8.5x Better Scalability
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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
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