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ITTIA Sync Adapter Connects Android to Big Data

ITTIA, a global supplier of embedded relational database software, announces the availability of bidirectional synchronization for Android apps to bridge the gap of collecting big data on-the-go. Due to an unprecedented influx of sensitive data that is managed and collected on mobile devices, ITTIA is offering a state-of-the-art solution that sets itself apart from other database software available on Android.

ITTIA DB SQL Now Available for QNX Neutrino RTOS 6.6

ITTIA, a global supplier of embedded relational database software, announces the availability of ITTIA DB SQL for QNX(R) Neutrino(R) RTOS 6.6, improving both performance and usability on QNX(R). 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 Receives "Editor's Choice Award" From Embedded Computing Design

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.

Comparison of ITTIA DB SQL and SQLite in 2014

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.

As many embedded systems rely on database software to store information, manufacturers recognize the consequences of data becoming unavailable. In addition, key factors such as reliability, concurrency and customer service are important for mission critical applications.

ITTIA DB SQL Advances In-Memory Data Management for Embedded Systems

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.

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