The rapid expansion of data volumes in modern applications has intensified the need for efficient methods of storing and retrieving information. Contemporary research in data compression focuses on ...
Recent advances in graphics processing units (GPUs) have opened a new frontier in query processing and database systems. Leveraging the massively parallel architecture of GPUs, modern database engines ...
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 ...
Manifold has shipped Radian® Studio, a massively parallel data engineering environment for DBMS and GIS that anyone can afford. Radian automatically runs on thousands of GPU cores plus all CPU cores ...
DGIST developed a new graph-based database partitioning method and its system implementation showed 4.2 times faster performance on average than Apacke Spark SQL DGIST developed a core technology that ...
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 ...
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