It was originally developed by the W3C to query data stored in the Resource Description Framework (RDF) format for metadata. In other words, SPARQL wasn’t devised for graph database searches ...

TigerGraph is a pure graph database, from the ground up. Its data store holds nodes, links, and their attributes, period. Some graph database products on the market are really wrappers built on ...

This graph database capability will enable organizations to squeeze more value from their data regardless of how or where it is stored. Management thinks that every system development project ...

Graph databases are optimized to handle queries ... and the combination will store data in both graph and traditional tables. The tool can run more than 60 different graph algorithms, like finding ...

Node and edge tables are just new types of tables in the database. The same storage engine, metadata, query processor, etc., is used to store and query graph data. All security and compliance features ...

Storage advancements made the amassing of greater amounts ... of operational database technology from relational to semantic graphs. The smart graph database approach to data modeling typifies this ...

Using a graph database alone is not an MDM solution. It does not give you MDM functionality. A graph database is just a data store and doesn't give you a business-facing user interface to query or ...

So, you could see the difference between a regular database and a graph database ... at storing transactional data; it has the SQL SMB that allows you to store NoSQL data inside a database.