ITTIA, a global supplier of embedded relational database software, announces the availability of ITTIA DB SQL for QNX® Neutrino® RTOS 6.6, improving both performance and usability on QNX®. ITTIA DB SQL is a leading-edge cross-platform embedded database that offers broad flexibility and scalability to address a wide range of embedded system and mobile device developer requirements, with the choice of on-disk, in-memory, and hybrid storage options. ITTIA DB SQL allows database file sharing between QNX processes, and efficient table synchronization between QNX devices and back-end RDBMS products.
ITTIA, a global provider of data management software for the mission-critical applications of embedded systems and mobile devices, is pleased to announce that its flagship database, ITTIA DB SQL, was selected for an "Editor's Choice Award" by the prestigious Embedded Computing Design magazine. ITTIA DB SQL is capturing worldwide attention from manufacturers of embedded systems and devices on the Internet of Things (IoT.) Storing, managing and connecting data machine-to-machine (M2M) with this technology allows manufacturers to benefit from standard practices such as the relational model and SQL to build fast, scalable, reliable and highly available applications.
ITTIA, a global provider of embedded data management software, releases database comparison facts about ITTIA DB SQL and SQLite for developers of applications on intelligent devices, embedded systems, and mobile devices.
ITTIA announces new capabilities of ITTIA DB SQL that empower embedded systems to store a large volume of data in-memory for processing and analysis. Applications use this technology to find specific details in a very large data set and perform complex queries in seconds.
As our homes, our cars, and the things around us are getting smarter, manufacturers of embedded systems and smart devices need to build solutions for which constant data access and interoperability is important. ITTIA DB SQL offers developers of Android applications new capabilities to discover nearby data from other devices such as mobile tablets, notebooks, and embedded systems. New data is automatically and efficiently transferred upon discovery, so that Android applications can monitor and control nearby systems.
