San Jose, California (PRWEB) September 12, 2013
The Third Annual NoSQL NOW! Conference held in San Jose, CA, August 20-22, was the world’s largest, vendor-neutral, educational forum for NoSQL (Not Only SQL) technologies. It focused on helping people to learn about opportunities associated with use of NoSQL in the Enterprise; in the Cloud: on the Web; for Big Data; and for Scale and Performance—especially in Big Data environments. Over 1000 Technology Architects, Managers, and Evaluators attended. Scientel had outstanding response for its 5-minute and 45-minute presentations on GENSONIX® DB at the NoSQL NOW! 2013 conference.
Scientel was a Gold Sponsor/Exhibitor at the Conference, and presented its Gensonix Enterprise NoSQL DBMS and related Big Data capabilities in two sessions: 5-minute “Lightning” overview on August 20; and 45-minute formal presentation on August 21. Scientel also had an exhibit booth in the main exhibition area.
The 5-minute “Lightning” session provided a quick overview of Scientel, its Gensonix NoSQL DBMS, and related Big Data capabilities. The 45-minute formal presentation—which turned into a virtual “standing-room-only” event--further expanded on how Gensonix stores structured/unstructured data in Relational, Hierarchical, Network, and Column formats, and is ideal for business, scientific, medical, etc., environments, as well as raw data analysis applications. Other primary aspects were described, such as: Gensonix utilizes the NSQL™© language; is native to low level languages such as C; supports many intrinsic functions; and performs easy recursive database/computing operations. Supporting multi-dimensional array processing, Gensonix is capable of very efficient analysis of vast amounts of structured and unstructured data at ultrahigh speeds. Gensonix® also runs on Large Data Warehouse Appliance configurations and scales to large numbers of multiprocessor nodes.
Brief example case studies were presented, and showed how: (a) Gensonix is faster and more economical in both development and production environments; (b) Gensonix can tackle complex problems that are difficult or nearly impossible with certain other types of database solutions; (c) Gensonix fully processes Trillion-record level large data tables without the use of table joins.
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-One 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.