ITTIA announces a new release of ITTIA DB SQL, version 5.4, available on Windows, Linux, Android, QNX, ThreadX, VxWorks and environments with no operating system. This latest release provides the capability for embedded and mobile applications to distribute data with Oracle, SQL Server, or any other desired back-end enterprise databases, and includes many new features, such as clustered indexes, scrollable SQL cursors, a Python scripting API, and Unicode SQL query strings.
In today's demanding market, developers of applications for embedded processors tend to choose off-the-shelf solutions offering high levels of scalability, security, durability, compatibility, and resource optimization, while maintaining a low cost of development.
Due to their many features, the popular PowerPC embedded and high-performance CPU architecture has gained support from the world's most innovative OEMs and VARs, and has become the preferred platform for mission-critical applications.
Embedded systems, including mobile devices, now face great demand for data distribution capabilities to interoperate with other systems. In its latest move, ITTIA has announced a new release that provides data distribution features for applications developed with ITTIA DB SQL on WindRiver’s VxWorks -- the industry’s leading embedded real-time operating system (RTOS) -- and enterprise databases such as Oracle, SQL Server, and MySQL.
ITTIA DB SQL is now available for IAR Embedded Workbench(R) and allows developers of embedded system and device applications to benefit from a complete leading-edge relational embedded database and comprehensive embedded workbench tools, empowering them with flexibility and ease of use.
ITTIA announces the availability of ITTIA DB SQL data distribution features for the QNX(R) Neutrino(R) Realtime Operating System (RTOS). These new features, which build upon the existing IITIA DB SQL product for QNX(R), empower embedded software developers to share and communicate data stored in ITTIA DB SQL on the QNX(R) Neutrino(R) RTOS with a back-end Microsoft(R) SQL Server database.