IBM releases Graph, a service that can outperform SQL databases by Dan Richman on July 27, 2016 at 3:25 pm Share 1 Tweet Share Reddit Email ...

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.

Aerospike Inc., maker of a highly scalable NoSQL database, today is entering the graph database market with an offering that it claims can outperform and outscale offerings from market leaders ...

The 10 hottest database startups of 2020 include companies with SQL, NoSQL, relational, cloud, graph and time series database software.

TigerGraph, maker of the TigerGraph native parallel graph database designed for deep link analytics, has introduced TigerGraph Cloud, a graph database-as-a-service platform. The service, priced on ...

Therein lies the first challenge for organizations moving toward graph databases: SQL is a pervasive skill set, and Cypher and other graph query languages are a new skill to learn.

Graph querying of data housed in massive data lakes and data warehouses has been part of the big data and analytics scene for many years, but it hasn’t always been a particularly easy process.

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 ...

Neo4j looks beyond the graph database Neo4j is building a 'graph platform' based on its database. CEO Emil Eifrem explains more. Written by Colin Barker, Contributor Nov. 20, 2017, 3:09 a.m. PT ...

These include updates to its Spanner SQL database, which now features graph and vector search support, as well as extended full-text search capabilities. This wouldn’t be a Google announcement ...