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With NVDIMMs as storage, in-memory databases gain durability without adding latency. Read the press release.

McObject, Green Hills Software alliance drives embedded systems innovation. More...

McObject positioned in Gartner's Operational DBMS Magic Quadrant. Get details.

Compass-EOS integrates eXtremeDB High Availability DBMS in breakthrough photonics-based core router. Learn more.


Printable Version

Seeking Fast, Durable Data Management: A Database System and Persistent Storage Benchmark

In-memory database systems (IMDSs) eliminate much of the performance latency associated with traditional on-disk database management systems (DBMSs), but some applications require a higher level of data durability (i.e. an ability to recover if someone “pulls the plug” or otherwise disrupts volatile memory). As a solution, IMDSs offer transaction logging, in which changes to the database are recorded on persistent media. But critics object that logging re-introduces the storage-related latency that builds slowness into on-disk DBMSs.

Will an IMDS with transaction logging outperform a traditional DBMS? Will type of storage – hard disk drive vs. SSD vs. state-of-the-art memory-tier device – affect any performance difference? McObject’s benchmark report, "In Search of Data Durability and High Performance: Benchmarking In-Memory & On-Disk Databases With Hard-Disk, SSD and Memory-Tier NAND Flash" answers these questions with tests using IMDS and on-disk DBMS technology. It also examines the impact of transaction length (long vs. short) on database system performance and the interplay of storage device type with this effect.

Download the free report.