San Jose, CA (PRWEB) August 08, 2013 -- Big Data is typically classified as Structured and/or Unstructured data in high Volume, Velocity, Variety and Variability. GENSONIX® NoSQL DB stores, manages, processes, and delivers results for all types of Big Data fast, accurately, reliably, and cost-effectively. It has been estimated that more than 80% of today’s data is unstructured. Due to various limitations, many companies do not collect/process Big Data that is critical for Business--and fall victim on a competitive basis to those who do.
Typical business/scientific data is usually organized/accessed with some type of Relational Database Management System (RDBMS), which usually utilize Structured Query Language (SQL) to access/analyze the data. SQL databases good for the pre-Web-2.0 era cannot deal with the emerging massive Big Data problem, both in being able to accept as well as process it. An “all-in-one” NoSQL DB such as Gensonix® Enterprise DB easily handles both structured and unstructured data; can scale out as needed for Big Data; and is inherently a very cost-effective solution for Big Data processing. Corporations and institutions need to address this oncoming data explosion very effectively to stay competitive.
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. 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 to be presented will show 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.
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.
Norman Kutemperor, Scientel, http://www.scientel.com, 248-433-4700 15, [email protected]