July 26, 2016 06:26 PM Eastern Daylight Time
SAN JOSE, Calif.–(BUSINESS WIRE)–Bitnine Global, Inc.:
In the midst of the Data Revolution – 5Vs
Volume, Velocity, Variety, Veracity, Variability. The conventional Relational DBMS, the majority of the current DBMS market, has critical limitations in handling these 5Vs of Big Data. No matter how the existing DBMS vendors have improved the capability of the current DBMS’s, they have ended up finding that they cannot catch up with the rapid advances since the data environment is a moving target. Data is no longer small, simple, static, but big, complex and dynamic. In this sense of urgency, Graph Database is created to hover beyond the limit of the current DBMS’s.
Graph Database is rapidly expanding its market share (CAGR of 40%) in the DBMS industry, even though relatively few corporates have implemented the technology to solve specific problems. Forrester Research analysts recently reported that graph databases — the fastest growing category in database management systems — will reach more than a quarter of enterprises by 2017. 1)
So, what is graph database?
This world is hyper-connected now. There is no completely isolated information. A graph database uses semantic queries with nodes, edges, and properties to represent data. The relationships allow data in the store to be linked together at once, and in most cases retrieved with an undivided operation. This contrasts with conventional relational databases, where links between data are stored in the data itself and are gathered by searching for this data within the store and using the JOIN concept to collect the related data.
Graph databases are designed to allow simple and rapid retrieval of complex hierarchical structures that are difficult to model in relational systems. Furthermore, the speed execution is not degraded as the data set volume increases, unlike the existing databases. 2)
Bitnine Global, Inc.
Bitnine is a leading graph database Research and Development Institute. Bitnine specializes in developing Graph Database engine and Big Data Analytics. Bitnine also makes the best use of open sources by sharing them with the open source community to practice the essential concept of technology development. Bitnine is working on developing Agens Graph, the first open source Hybrid DBMS (Relational DB + Graph DB). Agens Graph supports for both standard ANSI SQL and Graph Query language. Cypher, a graph query language provides query interface and adds support for various kinds of graph pattern matching query languages. Besides, SQL and graph pattern matching can be queried by a single integrated code in Agens Graph.
Other institutes that conduct researches on big data are trying to use Graph Database as database components for Hadoop system, which is neither their proprietary technology nor solution. Bitnine has established the technology roadmap that applies to the relational databases as well as data analysis and Big Data system through Graph Database research.
The biggest concern of database administrators is that implementing a new solution may create additional data silos which can cause inefficiency and vulnerability regarding security. With Agens Graph the DBAs won’t need to worry about this issue because it is a multi-model DBMS. The user can derive results with a single query for both PostgreSQL and Graph DB, which will dramatically minimize the risk of migrating the existing DB.
Graph Database in Silicon Valley
Bitnine is sponsoring a Meetup for the Graph Database users and learners. ‘Graph Database in SV’ is a group for anybody interested in learning and sharing Graph Database knowledge around Silicon Valley area. Graph Database will completely change your idea of the conventional database. The meetup will offer the knowledge on the most leading edge of the graph database. Through the keynotes and discussions, the group members will become the ‘Graph Evangelists’ – much more than the ‘data literates’. This group is aiming to hover beyond the limitations of the existing DBMS with the compelling and flexible technology – Graph Database.
For more information on the meetup, visit http://www.meetup.com/Graph-Database-in-Silicon-Valley/
▲ Warren Buffett, CEO of Berkshire Hathaway (pic from Wikipedia.org)
Business Wire, Inc.
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[Source] Business Wire
BITNINE GLOBAL INC., THE COMPANY SPECIALIZING IN GRAPH DATABASE
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