LTAP is the name of Databricks' new architecture, with which operational databases and analytical systems should only require ...

Zilliz Launches Vector Lakebase, Extending the World's Most Adopted Vector Database into a Unified Data Platform for AIAvailable now in public preview on Zilliz Cloud, Vector Lakebase keeps production ...

The coolest database system companies of the 2026 Big Data 100 include ClickHouse, Couchbase, EDB, MariaDB, MongoDB, Neo4j, Pinecone and Yugabyte.

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 ...

Abstract: In recent years, spatial applications have become more and more important in both scientific research and industry. Spatial query processing is the fundamental functioning component to ...

Artificial intelligence is changing how organisations use data. Tasks that once required complex queries and manual analysis can now be done in minutes with modern analytics platforms. Because of this ...

Abstract: The skyline of a multidimensional point set is a subset of interesting points that are not dominated by others. In this paper, we investigate constrained skyline queries in a large-scale ...

Tensor processing is a cornerstone of many modern technological advancements, powering critical applications in data analytics and artificial intelligence. While optical computing offers exceptional ...

EvaDB enables software developers to build AI apps in a few lines of code. Its powerful SQL API simplifies AI app development for both structured and unstructured data. EvaDB's benefits include: 🔮 ...

Learning complex, detailed, and evolving knowledge is a challenge in multiple technical professions. Relevant source knowledge is contained within many large documents and information sources with ...

Massive parallel processing (MPP) in Azure refers to the ability to perform large-scale data processing by splitting tasks into smaller sub-tasks that can be executed simultaneously across multiple ...

In the era of data explosion, processing and analyzing large datasets pose a significant challenge for many database management systems (DBMS). Parallel Processing is a powerful solution that improves ...