A startup named TigerGraph emerged from stealth today with a new native parallel graph database that its founder thinks can shake up the analytics market. With $31 million in venture funding and ...

Victor Lee is director of product management at TigerGraph. Graph databases excel at answering complex questions about relationships in large data sets. But they hit a wall—in terms of both ...

Modern computing has many foundational building blocks, including central processing units (CPUs), graphics processing units (GPUs) and data processing units (DPUs). However, what almost all modern ...

The tide is changing for analytics architectures. Traditional approaches, from the data warehouse to the data lake, implicitly assume that all relevant data can be stored in a single, centralized ...

Databricks claims AI agents have quietly taken over enterprise database creation, pushing its Lakebase product to the center ...

SAN DIEGO, Sept. 18, 2013 /PRNewswire/ — Teradata (NYSE: TDC), the leading analytic data solutions company, announced it is the first to offer next-generation, in-database R Analytics that are fully ...

When Expertise, Monitoring, Systems, and AI AlignBy Amir Malka, CEO, Bioforum The Data Masters | Trial oversight is shifting ...

Graph databases, which explicitly express the connections between nodes, are more efficient at the analysis of networks (computer, human, geographic, or otherwise) than relational databases. That ...

HPC data centers solved many of the technical challenges AI now faces: low-latency interconnects, advanced scheduling, liquid ...