Amazon said through the new model, 4DBInfer, the company aim to accelerate research on graph-centric predictive modeling for relational databases by providing a unified, fully open-sourced framework.

An example of a popular graph database system is Neo4j. Another Choice: The Multi-Model DBMS Yet another choice in the NoSQL market is the multi-model DBMS. A growing number of vendors have delivered ...

However, with the intensifying competition, enterprises face numerous challenges when selecting a vector database. Issues such as inadequate performance, low throughput, high latency, lack of ...

Even as large language models have been making a splash with ChatGPT and its competitors, another incoming AI wave has been quietly emerging: large database models.

The process of de-identifying test databases can be approached in a variety of ways, and we’re often asked how our approach differs as compared to others. In this article, we’ll explore how our ...

Monte Carlo Data wants to make sure the vector databases powering AI models stay reliable Shubham Sharma November 8, 2023 1:46 PM Image Credit: VentureBeat made with Ideogram ...

However, graph databases probably entered the mainstream with the emergence of Neo4j, a Java-based graph database that originally was an embedded database for Java applications. Today, Neo4j is ...

When the artificial intelligence boom began a few years ago, investors flocked to startups that helped businesses transform ...

Enterprises are creating huge amounts of data and it is being generated, stored, accessed, and analyzed everywhere – in core datacenters, in the cloud distributed among various providers, at the edge, ...

Most projects benefit from having a data model. Read this article for an overview of the most common types.