Tips:The Rise and Future of Graph Database
A primer on the evolution of databases – from RDBMS to NoSQL and Graph.
The Graph market is worth more than US$84 billion and is expected to power more applications to solve higher-value business problems, with machine learning and artificial intelligence fundamentally transforming various industries.
Structured Query Language and SQL developers can use TigerGraph seamlessly which is designed as a graph query language (GSQL), extending SQL naturally and minimally, meeting scalability and performance requirements.
This paper traces the evolution of graph databases, and explains why it is such an important horizontal technology for today and in the future.
