A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data.

But they suffer performance, scalability and reliability issues compared ... graph database. For example, small to medium enterprises may not need to regularly process millions of graph ...

based TigerGraph, which bills itself as “the only scalable graph ... to do SQL-like database computation along with ACID-compliant transactions benefits users with a lower TCO compared to ...

Put that together and we have a GQL at least as good as SQL’s first implementation – and we need to find a way to make that happen. Many graph database practitioners have, I believe ...

The Redwood City, California-based startup debuted the feature today alongside a new free edition of the database. A graph is a data structure that ... is similar to SQL, which makes it ...

And the metaphors used to work with data in NoSQL systems are also relatively new, compared to ... and retrieved. With SQL databases, all data has an inherent structure. A conventional database ...

Business information is mostly generated by systems or people. Data from systems is most likely to be structured. In its traditional format, this is most typified by data in relational databases ...

These include updates to its Spanner SQL database, which now features graph and vector search support ... optional pricing structure. Dubbed “Spanner editions,” the idea here is to offer ...

Facebook continues to pull back the curtain on some of the technical details behind its search products, this time with a new look at the Social Graph. See also: Understanding Unicorn: A deep dive ...