For example, TigerGraph recently used these benchmarks to scale its database to support 30 terabytes (TB) of graph data, up from 1 TB in 2019 and 5 TB in 2020.

Gartner defines Operational Databases as “Relational and non-relational DBMS products suitable for a broad range of enterprise-level transactional applications, and DBMS products supporting ...

Building a dependable database management system is no easy task. You need to understand what the design trade-offs in the construction of a database management system are and also how those ...

Neo4j leads the graph database management systems (DBMS) category with a 44% market share, based on an analysis by Cupole Consulting Group. Cupole estimates the total addressable market for the ...

According to Gartner, "Based on the increasing usage, popularity and maturity of graph, Gartner estimates that the market for graph technologies, including graph database management systems (DBMSs ...

If your team struggles to view how information is consumed from a digital asset management (DAM) system, consider the option of a graph database. Graph databases are among most promising new ...

According to a 2019 predictions statement from analyst house Gartner, “The application of graph processing and graph database management systems will grow at 100 percent annually through 2022 to ...

DataStax, a database vendor that delivers a commercial version of Apache Cassandra, is today announcing that it has acquired Graph database vendor Aurelius. Apache Cassandra is the open source ...

George Anadiotis, Linked Data Orchestration/ZDNet: “2018 was the Year of the Graph, the year graph databases went mainstream. I have no reason to think this will change, it will only accelerate.