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I’ve written previously on transaction logging, the feature in eXtremeDB (and other database systems) that adds durability to an in-memory database, enabling recovery in the event of system failure. McObject has completed new benchmark tests focusing on transaction logging and performance, using EMC’s XtremSF server-based PCIe flash card technology.
The test results, presented in the free report Gaining an Extreme Performance Advantage, drive home three points: 1) an in-memory database system with transaction logging vastly outperforms a traditional “on-disk” DBMS; 2) this speed advantage is multiplied through careful choice of transaction log storage device; 3) McObject’s database system and EMC’s server-based PCIe flash cards reap the benefits of multi-threading software on multi-core CPUs – especially when the two vendors’ technologies are used together.
For the database operations most likely to induce latency, the eXtremeDB IMDS with transaction logging (IMDS+TL), and storing its transaction log on a hard disk drive (HDD), outperformed the on-disk DBMS w/ HDD storage by more than 5 times. Storing the transaction log using EMC’s technology improved this performance edge dramatically, driving the IMDS+TL to achieve a 2,100% speed advantage over the on-disk DBMS configuration.
A second phase of the benchmark tested scalability by measuring throughput while adding concurrent processes to interact with the database system and its storage. EMC’s and McObject’s technologies both leverage multi-threading on multi-core CPUs: in McObject’s tests using the persistent storage capabilities provided by eXtremeDB Fusion edition (that is, using eXtremeDB as a “pure” on-disk DBMS) and storing the database on EMC XtremSF, the benchmark application with 2 processes running simultaneously was able to complete 3.89 loops per millisecond; with 36 concurrent processes, this grew to 12.21 loops/ms – an increase of 314%.
However, when moving to the eXtremeDB In-Memory Database System with transaction logging, and using EMC XtremSF technology to store the log, the rate of throughput increase was even more impressive – loops per second increased by 505% when scaling to 36 processes from 2 processes.
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