Graph databases are the fastest-growing category in all of data management. Graph databases have evolved into a mainstream technology that has been successfully implemented by organizations in ...

The Global Graph Database Market size is expected to reach $8.1 billion by 2028, rising at a market growth of 22.2% CAGR during the forecast period.A graph database is a single-pu ...

Knowledge Graphs are handy where understanding the context and connections within the data is essential. The LLM can say, ‘My answer came from these triples or this subgraph.'” ...

Neo4j created the property graph model and is the leading graph database in the market, used by more than 75 of the Fortune 100. More details on Neo4j's vector index search capability can be found ...

But to developers, the Microsoft Graph is exposed as an API to write apps against, not a database. In this case, Microsoft models all the data, developers can just run and go play with it.

The benefits of graph databases go beyond mere query speed. Complex relational models no longer need to be hammered out in the usual, arduous manner because relationships can be modeled easily and ...

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.

It's a misnomer, and as Jain pointed out, "GraphQL is as much a graph query language, as relational databases are about relationships." In other words, not very much, and this is by design.

In PowerPoint, users would use graphs or charts to explain their data in detail so that their audience understands their presentation. In this tutorial, we will explain how to animate a line graph ...

Ever since it emerged four years ago with a graph database that scales out natively on clusters of up to 1,000 nodes, TigerGraph has been pushing the boundaries of what a property graph database can ...