Graph Databases for Beginners: Why Graph Technology Is the Future? In computing, a graph database is a database that utilized graph structures for semantic queries with nodes, edges, & properties to signify and store data. A key idea of the system is the graph. The graph relates the data items in the store to a collection of nodes & edges, the edges on behalf of the relationships between the nodes. The relationships permit data in the store to be linked together straight and, in many cases, retrieved with one operation. Graph databases hold the relationships between data as a precedence. Querying relationships within a graph database is fast because they are perpetually kept within the database itself. Relationships can be intuitively visualized using graph databases, making them valuable for heavily inter-connected data. Graph databases are portion of the NoSQL databases created to address the limitations of the current relational databases.
Development in Graph Database Market: The global Graph Database Market is expected to grow at a CAGR of 16.9% during the forecast period, 2019–2026.
Competitive Landscape: Some of the major Companies in the Graph Database Market are ArangoDB, Datastax Inc., Franz Inc., IBM Corporation, Microsoft Corporation, Neo4j Inc., Ontotext, Oracle Corporation, OrientDB Ltd., and Spercity Technologies.