ITTIA, a leader in modern embedded and mobile database software, equips applications with safe and efficient storage on single-core and multi-core systems. ITTIA DB SQL addresses the challenge of increasing data volume on multi-core systems; and by expanding its commitment to help manufacturers of embedded devices, ITTIA helps them to manage and connect data -- regardless of size -- as well as to leverage the performance of multi-core systems.
ITTIA, a leader in modern embedded and mobile database software, has announced the availability of ITTIA DB SQL for Nucleus. ITTIA DB SQL is an embedded database for embedded application developers. Mentor Graphics Nucleus is a real-time operating system known for its performance, reliability, and scalability with a small footprint. Combining these technologies provides a total solution for embedded and mobile developers and answers the need for tightly integrated, easy-to-use tools to make development faster, easier, more flexible and more productive.
ITTIA, the leader in modern database software for embedded systems and smart devices, today announced the successful deployment of ITTIA DB SQL embedded in Cow Master, an intelligent animal health care robotics system. This deployment continues the company's constant progress in the human-to-machine and machine-to-machine sector, providing a more sophisticated and modern means for manufacturers to create new systems suitable for a 21st century lifestyle.
ITTIA, the leader in modern database software for embedded systems and smart devices, introduces its Machine to Machine (M2M) data management solution. Based on ITTIA DB SQL peer-to-peer replication technology, this solution enables embedded systems to efficiently and reliably manage local data that is transparently shared with other systems. ITTIA's M2M solution offers embedded system developers an easy way to connect applications and communicate information.
ITTIA announces the big data capabilities of ITTIA DB SQL, a modern database for smart embedded systems with limited local resources. With this unique technology, a large data set can be distributed across a wide array of devices, with the potential to store millions of rows per device. Applications can then run queries on individual devices, or pool data together in a back-end system for data warehousing and data mining. In this way, developers benefit from highly reliable embedded database software with a strong track record in mission-critical systems.