A new open-source library by Nvidia could be the secret ingredient to advancing analytics and making graph databases faster. The key: parallel processing ... goal is to make graph analysis ubiquitous.

BangDB is a high performance database which makes it highly suitable for modern applications that require predictive real-time analysis for fast moving data from devices, sensors and machines. By ...

Snowflake provides a popular cloud data platform that companies use to store, analyze and visualize their data. Customers can ...

So when faced with that problem, Xu saw an opportunity and went off to create a solution ... large scale offline data processing. But how? By having a native C++ graph storage engine (GSE ...

What Is a Graph Database? Use Cases, Benefits and More Your email has been sent Efficient relationship processing ... data landscapes. This adaptability and efficiency in handling relational data ...

Do a cost analysis to understand the financial impact of using these powerful AI tools in your data processing. This will help you make smart choices as you expand your knowledge graph project.

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. It’s said to make graph ...