Give me control of a database query language, and I care not who makes its engine The noticeable spike in interest in graph in the last year can be largely attributed to heavyweights such as ...

There are several graph database languages on the market, including Neo4j’s Cypher, Google Cayley, TIBCO, Apache TinkerPop Gremlin, Amazon’s Neptune and TigerGraph’s GSQL, to name a few.

The Cypher query generated in step 3 is ingested into the DBMS, which creates the nodes and edges in the graph database. Once the database is created, it can be queried using Cypher commands to ...

Aerospike this week rolled out new graph database offering that leverages open source components, including the TinkerPop graph engine and the Gremlin graph query language. The NoSQL company foresees ...

The global graph database market size to grow from USD 2.9 billion in 2023 to USD 7.3 billion by 2028, at a Compound Annual Growth Rate (CAGR) of 20.2% during the forecast period.

Key Benefits of a Graph Database Better, Faster Queries and Analytics: Graph databases offer superior performance for querying related data, big or small. The graph model offers an inherent indexed ...

You can think of a graph database as a set of interconnected circles (nodes) and each node represents a person, a product, a place or ‘thing’ that we want to build into our data universe.

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.

DSE Graph is a distributed graph database that is built on a back-end columnar database, DataStax Enterprise (DSE), and uses the Apache TinkerPop Gremlin query language.