GDS 2.0 and AuraDS bring graph data science one step closer to mainstream adoption. If you want to impress your boss, VB Daily has you covered.

The Graph, the decentralized indexing system that works much like Google for blockchains, has introduced a data standard for Web3. Called GRC-20, the standard would define how information is ...

Customers are also using graph databases to optimize business processes, improve healthcare outcomes, sharpen digital marketing campaigns, identify cybersecurity threats and even manage energy grids.

ArangoDB: Suitable for startups and SMBs, ArangoDB is a multi-model database that supports graph, document, and key/value data models.

In other words, graph can help you “connect the dots.” Examine the names of the data structures you are trying to analyze.

Available starting today, Neo4j Aura Graph Analytics is said to work with any kind of data source, including Oracle, Microsoft SQL, Databricks, Google BigQuery, Snowflake and Microsoft OneLake.

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.

Facebook reaches Social Graph database benchmark: Facebook engineers discuss the development processes behind LinkBench, and how it’s being used at the world's largest social network today.

Advantages Offered by Graph Analytics A key advantage of graphs is the ease with which new sources of data and new relationships can be added. Graph databases using Resource Description Framework ...