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Embedded Database aids embedded system in-memory data management.

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May 9, 2014 - ITTIA DB SQL in-memory data storage solution lets developers and decision-makers search for key data points amidst hundreds of millions for processing and analysis. Leveraging systems with tens or hundreds of gigabytes of RAM, solution can process millions of rows within seconds. Cross-platform embedded database enables developers to leverage enterprise data management features on embedded systems and devices across their product lines.

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

ITTIA - Mobile and Embedded Database Solutions
1611 116th Ave.
Bellevue, WA, 98004

Press release date: April 30, 2014

Bellevue, WA — ITTIA announces new capabilities of ITTIA DB SQL that empower embedd ed 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.

Storing and retrieving large amounts of data constitutes an important aspect of managing any business. Decision-makers are constantly challenged to extract insight from real-time data to increase productivity. This is even more true when there is no obvious way to organize the data for efficient search. For example, when an airline company announces new rates, the immediate impact of that decision can easily be lost in the sea of information that is collected globally.

To solve this challenge, ITTIA DB SQL offers a powerful in-memory data storage solution that enables developers and decision-makers in sectors such as network appliances, enterprise infrastructure, and healthcare to search for key data points in hundreds of millions. By leveraging systems with tens o r even hundreds of gigabytes of RAM, ITTIA DB SQL can process millions of rows in a matter of seconds. Application developers use SQL to express queries that search for relevant records, aggregate the results, and calculate important statistics with a predictable, real-time response.

Another application for in-memory data storage is a social media website. For example, to quickly locate people with similar interests, relevant data can be cached in a memory database that is continuously updated as new members join the site and update their profiles. By filtering and scanning these records, ITTIA DB SQL can find and list relevant members for each page view.

To test these scenarios, ITTIA's engineering team successfully queried an in-memory database containing over a hundred million records, completing a substring matching search in a matter of seconds. The results of this benchmark show that in-memory performance allows companies to access critical data efficiently, an d analyze that data for further decision-making and market evaluation – which can translate directly into increased productivity. At the same time, the popularity of SQL makes it an easy tool to maintain and facilitates interoperability with other embedded systems, devices, and the cloud.

ITTIA DB SQL is a leading-edge cross-platform embedded database for Android, Linux, Windows, QNX, ThreadX, VxWorks, Nucleus, and generic ARM targets with no operating system. Used in applications such as medical devices, industrial automation, portable data terminals, consumer electronics, clean energy appliances, and mobile devices, our database technology enables developers to leverage enterprise data management features on embedded systems and devices across their product lines, no matter what operating systems and architectures are used.
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