English German
There's always a Logic Solution!

Datalight to Exhibit at Embedded World 2015, Nuremburg, Germany, February 24-26

Bothell, WA, – January 5th 2015 – Visit us in Nuremburg, Germany for Embedded World 2015. Once again we will be exhibiting with our partner,
Logic Technology in booth 4-108. Come see a side by side comparison of the astounding performance improvements we have achieved with FlashFXe, software accelerator for Reliance Nitro. We will also showcase a new Android application to easily determine your optimal Reliance Nitro configuration. And of course, we’re happy to answer any questions you might have about any Datalight products or technologies (and we just might let you in on a new product that’s in the works! Shhh)

eXtremeDB Embedded Database V. 6.0 Gains Speed, Scalability & Developer Flexibility

McObject's new eXtremeDB 6.0 embedded DBMS boosts support for “Internet of things” (IoT) with distributed query processing, which partitions a database and distributes query processing across multiple servers, CPUs and/or CPU cores. Performance is accelerated – dramatically, in some cases – via parallel execution of database operations and by harnessing the capabilities of many host computers. 
Such “horizontal partitioning” may be designed into new systems, and is also the natural outgrowth of once-autonomous embedded systems and devices becoming interconnected, enabling data aggregation from diverse locations. Demand for distributed query processing cuts across embedded systems segments, and is especially relevant to the automation and control field, with usage scenarios that include smart energy generation systems that query data from wind turbines’ accelerometers to measure ‘wobble, and transportation systems that optimize traffic flow based on local data collected from thousands of vehicles and infrastructure control points. Other enhancements in eXtremeDB v. 6.0 include support for Wind River’s avionics platforms (VxWorks 653 and VxWorks CERT); data compression for both in-memory and on-disk databases, reducing storage costs to lower cost-of-ownership; improved encryption; more flexible transaction scheduling; Python language integration; Trigram database index support, to facilitate “fuzzy” or near matches between text strings; and a covered index option, which adds the ability to store key values in b-tree indexes of in-memory databases.