ITTIA announces the availability of its embedded database for the ARM(TM) architecture. ITTIA provides embedded relational database software for developers of applications for mobile devices and other embedded systems. With ITTIA DB SQL's robust data management framework and ARM's hardware architecture, data is managed and accessed in a flexible and efficient way. Customers from industries such as consumer electronics, clean energy, medical devices, and robotics have already built state of art applications with ITTIA DB SQL on ARM.
Whenever power removal is suspected, developers of applications for mobile devices and other embedded systems tend to use EEPROM hardware for storing small quantities of data that must be saved. EEPROM devices are equipped with serial flash - a small, low-power flash memory, which is frequently accessible through a Serial Peripheral Interface (SPI). In order to retrieve data, an EEPROM requires each write operation to begin at an aligned offset, which necessitates batched writes to avoid excessive ware.
ITTIA is expanding its database offering with support for Hibernate Java object persistence. Hibernate is popular open source object relational mapping tool for the Java platform and a new ITTIA DB Hibernate dialect provides powerful, high performance relational persistence and query options for Java applications. Developers of embedded systems and devices can now develop high-level database-driven applications easily with Hibernate and ITTIA DB SQL.
Java applications on mobile devices and other embedded systems can now leverage the robust shared access and data distribution features of ITTIA DB SQL with a new JDBC (Java Database Connectivity) driver released this week. This driver provides significant value for Java developers targeting embedded platforms.
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.