To discuss the future development trend of databases, graph databases are undoubtedly one of the most cutting-edge directions. Graph database, many people may be relatively new to this concept. Today, Dameng Jun will come to unveil the mystery of the database for you.
What is a graph database?
Graph database is a type of NoSQL database, a non-relational database, which uses graph theory to store relational information between entities. The most common example is the relationship between people in social networks. The effect of relational database for storing "relational" data is not good. Its query is complicated, slow, and exceeds expectations. The unique design of graph database just makes up for this defect. In a graph database, there are two main components, the node set and the relationship between connecting nodes. A node set is a collection of a series of nodes in a graph, which is closer to the most commonly used tables in a relational database, while a relation is a unique composition of a graph database. The advantage of the graph database is that, compared with the various associated tables in the relational database, the relationship in the graph database can provide a richer relationship display mode through the function that the relationship can contain attributes. Therefore, compared with relational databases, users of graph databases will have an additional weapon when abstracting things, that is, rich relationships.
How to use the graph database?
With the rapid development of the Internet, social networking and other related fields, the increase in the amount of graph data has accelerated, and the attention of graph databases has also been increasing.
At present, the demand application scenarios of graph databases are increasing. From the perspective of the relationship between computing and analyzing data, the performance of graph databases is about a hundred times higher than traditional databases. In finance, telecommunications, securities, credit, transportation, Public security, security, military industry, social networks, semantic Web analysis, bioinformatics networks and other fields are all facing huge demands.
The most typical example is the application of graph databases in anti-telecom fraud: starting from the cell phone numbers obtained for the crime, combined with the operator's call bill data, deep digging into the composition of criminal gangs and discovering potential victims.
Map database, amounting to dream in action!
At present, the development of graph database is still in its infancy. According to the DB-Engines report, the market share of graph database in 2016 was 0.9%, an increase of 0.2% over the previous year. The overall market potential is huge. In the foreign graph database market, there are both giants (such as Microsoft), professional manufacturers (such as Neo Technology, Objectivity), and entrepreneurial manufacturers (such as Aurelius). In November 2016, the foreign graph database company Neo Technology received 3.6 million With U.S. dollar round D financing, related foreign products have initially entered the stage of marketization and industrialization. Currently, there is no commercialized graph database product in China, and Dameng is determined to fill this gap. The graph database will be an important link in the Dameng industrial chain. Dameng is the first company engaged in independent research and development and application of graph databases. Based on the profound technical accumulation in relational databases, combined with the original ability and experience accumulated in data processing, it will independently develop a graph database product with leading technology and its own characteristics.
In the future, with the increase of Internet users, equipment and digital processing worldwide, more and more data will be generated. In other words, whether an enterprise can make full use of relevant data determines its future development. The graph database will be the most effective way to store, correlate and utilize data. The graph database product independently developed by Dameng will surely lead the new wave of domestic database reform.