What is a Graph Database? The world is becoming more connected every day and these connections are more valuable than ever. We’re finding ways to explore connections and relationships to see what they can tell us. And they can tell us a lot: about how individuals...
In our upcoming 2.4 release, TigerGraph will offer a major syntax extension in GSQL - pattern matching. Pattern matching enables users to focus on specifying what multi-hop path pattern they want in a query block, without worrying about the direction of the underlying data flow....
Machine learning (ML) – an aspect of artificial intelligence (AI) that allows software to accurately identify patterns and predict outcomes – has become a hot industry topic. With ever-increasing advances in data analysis, storage, and computing power in the last few years, machine learning has...
It’s that time of the year when 40,000+ people cram into Las Vegas for Amazon AWS re:Invent , which kicks off November 26. If you think about it, the attendees are all connected, but don’t realize it. It’s like a huge graph and many new insights and...
Results: Neo4j's loading time is shorter than TigerGraph; however, Neo4j requires extra preprocessing that extracts the vertex file from the edge file. After including the pre-processing time, Neo4j takes longer time to loading than TigerGraph. TigerGraph can effectively compresses the data size and needs 19.3x less storage space than Neo4j's. On...
Graph databases excel at answering complex questions about relationships in large data sets. But they hit a wall—in terms of both performance and analysis capabilities—when the volume of data grows very large, and when the answers must be provided in real time. That’s because existing graph...
