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Financial data management experts TimeStored feature McObject in their blog post, Pipe-lining Time Series Calculations for Cache Efficiency.

On multi-core systems, less resource contention = faster performance.
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XtremeDB In-Memory Database System paired with ThreadX RTOS in technology alliance for deeply embedded systems. Get details.

Benchmark: McObject & EMC technologies combine to boost in-memory database speed, durability & scalability. Read the
press release.

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.