Furthermore, systems that integrate intelligent compression strategies directly into database indices, such as those utilising B+-trees, have reported impressive gains in query throughput by ...

Query compilation and execution form the critical backbone of database systems, where high-level queries are translated into efficient low-level machine code and then executed to retrieve data.

In a distributed database, the data systems are held in different physical locations but can be accessed by all computers on a system. Processing is also shared among the many nodes—a ...

Voltron Data introduces Theseus, a powerful distributed query engine designed to accelerate large-scale data pipelines and queries, optimize data processing for AI workloads, and promote open ...

Relational calculus. Query processing and optimization. Transaction processing: failure, recovery, and concurrency. Database security. Logic-based systems. Parallel, distributed, and client/server ...

SkySQL, the cloud database based on the well-known MariaDB open source RDBMS, adds distributed database capabilities for write-intensive applications scalability and high availability.

But Big Data's not all about MapReduce. There’s another computational approach to distributed query processing, called Massively Parallel Processing, or MPP.

Aerospike has announced version 8.0 of its distributed multi-modal database, bringing support for distributed ACID transactions. This enables large-scale online transaction processing (OLTP) applicati ...

Materialize handles streaming data with simplicity Founded in 2019, Materialize addresses this gap with a fully-managed cloud database built on top of a powerful stream processor – Timely ...