Bingham Farms, Mi (PRWEB) December 31, 2013
Scientel Information Technology, Inc., has released an advanced version of its Gensonix® NoSQL DBMS, which is the solution for processing Big Data that can be applied in commercial or other environments with processing capabilities that can scale to levels similar to systems developed by Google, Facebook, Amazon, Yahoo, and other Internet giants. Specifically, Gensonix stores structured/unstructured data in Relational, Hierarchical, Network, Column, and Content formats and is ideal for business, government, scientific, medical, etc., environments, as well as raw data analysis applications. Gensonix utilizes the NSQL™© language which is capable of very efficient processing of vast amounts of structured and unstructured data at ultrahigh speeds.
Today, data comes in both organized structured data parts and associated large parts of unstructured content of all types. Big Data includes both unstructured data of any type at levels that can be less than about 1 TB, as well as structured data greater than about 20 TB. Gensonix is an “All-In-1” DB which reliably and accurately stores any kind of digitized data, in all their Volume, Velocity, Variety, and Variability. Organizations need to manage both structured and unstructured data equally well in a single DB to get ahead and solve newly-emerging process/business issues. Gensonix eliminates the need for the two types of databases required by organizations, which is a tremendous TCO savings.
An example of Scientel's advanced products for both mainstream and Big Data applications is its Enterprise Content Management & Search (ECMS) system. This system allows any size organization to cost-effectively and reliably store; organize in a central repository; manage; and search within, at many levels, virtually any kind of digitized content. Simply drag-n-drop text, PDF, Word, Excel, PowerPoint, Access DB, image files, analytical files, compressed files, e-mail files, ISO files, wave files, reports, video clips, and all other types of digital content into the Gensonix ECMS content manager.
In addition to many other awards and recognitions, Scientel was recognized this year at the 2013 NOSQL National Conference as one of the new emerging NoSQL technology companies.
About Scientel Information Technology, Inc.
Scientel Information Technology, Inc. is a U.S.-based, international, systems technology company, operational since 1977. Scientel also designs/produces highly-optimized high end servers, which can be bundled with its "GENSONIX® ENTERPRISE" DBMS software, as a single-source supplier of complete systems for Big Data environments. Scientel also customizes hardware and software for specific applications resulting in higher performance.
Scientel's specialty is advanced NoSQL DBMS design and applications/systems integration for advanced business processes. This includes applications for BIG DATA, commercial intranets, Supply Chain management , IT consulting, support, etc., along with “beyond mainframe-level” Large Data Warehouse Appliance hardware/systems.
GENSONIX® allows very user-friendly data manipulation capabilities found in standard, SQL-based, database management systems, but it goes beyond. IT IS TRULY AN "ALL-IN-1 SQL"--an “All Data Management System” in the form of an ultra-flexible, NoSQL DBMS of perfectly general capabilities and application potentials. It can also function in concert with mainline SQL systems to efficiently handle both structured and unstructured data as a large data warehouse repository. However, it can handle heavy database loads by itself with the aid of the GENSONIX® NSQL©™ query/procedural language. GENSONIX® supports both telnet as well as http interfaces. GENSONIX® is capable of handling TRILLIONS of rows/transactions for BILLIONS of customers, which is a HUGE advantage in “truly Big Data” structured applications.
Business customers can take advantage of Scientel’s capabilities in advanced Business Intelligence and Visual Data Analytics to grow their business by handling Big Data more cost-effectively and with greater insights to remain competitive. Scientific, government, and similar organizations can use these capabilities to efficiently process Big Data, instead of being swamped by it.