Constructing these, however, is laborious and a very batch-oriented effort. Around the same time as scale-out NoSQL, graph databases emerged.

While still a bit of an outlier, graph-oriented databases continue to find a role in the modern data stack -- thanks largely to AI.

As ratified last September, this does really seem to be a move toward a true international standard for graph databases and could, arguably, spark as rapid a rise in acceptance of graph-based ways of ...

A NoSQL database has flexible data requirements, making it a better fit for applications that will evolve over time than an SQL database.

There are other graph-related projects of note, including attempts to add graph-like capabilities to the Hadoop ecosystem through the Hama project - the Gremlin graph programming language - and other ...

Graph database provider TigerGraph Inc. today announced version 3.0 of its namesake engine, saying it incorporates significant ease-of-use enhancements. Graph databases are a type of NoSQL ...

Graph database startup Neo4j raised $320 million at an over $2 billion valuation, highlighting the value of graph databases.

Why? Because put at its simplest, a common query language could open the doors to graph technology being used more widely in exactly the same way the lingua franca of SQL propelled relational to ...

The graph database market in Europe has showcased compelling growth in terms of revenue with a CAGR at 20.12% during the forecasting years 2019-2027.