eXtremeDB reduces latency-inducing transfers between CPU cache and main memory.
eXtremeDB delivers in-database analytics, for breakthrough efficiency working with IoT analytics or market data in financial systems. In-database analytics is implemented in software, and therefore should not be confused with the practice of optimizing analytics using FPGAs.
In-database analytics also differs substantially different from in-memory computing. While in-memory computing uses main memory as DBMS storage, to eliminate various kinds of latency, in-database analytics optimizes data flows to and from the CPU and maximizes the amount of relevant data held in CPU cache, to reduce latency-inducing transfers between CPU cache and main memory.
eXtremeDB in-database analytics can be used independent of the product’s in-memory database system (IMDS) capability.
Three components set in-database analytics with eXtremeDB apart from other systems:
1) The “sequence” data type implements columnar layout for data elements. Sequences are ideal for representing time series such as tick streams.
3) A pipelining technique is used to combine these functions into assembly lines of processing, with output of one function becoming input for the next.
The proof is in the results
In multiple audited STAC-M3 benchmark tests, McObject’s eXtremeDB database management system has broken earlier records for the best (lowest) mean response times and for lowest standard deviation (highest predictability/lowest “jitter”) of test results.
eXtremeDB’s unique hybrid row- and columnar-layout (OLTP and time series) coupled with pipelined functions for statistical analysis and scalable distributed database architecture power record-setting STAC-M3 benchmark results.
Big Data & Analytics
eXtremeDB’s Active Replication Fabric™ manages all aspects of IoT data communication: security, low bandwidth, intermittent connections, multi-tier and bi-directional replication, and more.
Articles for Professional Developers
- “On Time Series Analysis and Big Data. Interview with Andrei Gorine” ODBMS.org
- Gartner’s 19 In-memory Databases for Big Data Analytics, Information-Management.com
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Webinars for Professional Developers
Watch to on-demand Webinars, hosted by experts, about proven database management system practices. Watch “Eliminating Database Corruption“. Or, “Embedded Databases: Make or Break Technology Choices for High Performance Applications” and others.
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White Papers for Professional Developers
We have been testing, improving on, and retesting our software from the beginning in 2001 in order to provide our clients with the best possible data management solutions. Read “Database Persistence, Without The Performance Penalty” and more.
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