Advantages of Distributed Data Processing. Distributed data processing is a computer-networking method in which multiple computers across different locations share computer-processing capability.

They became interested in Hadoop as a means of processing their Web site’s traffic data that was generating terabytes per day, was growing, and was overtaxing their Oracle database.

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.

Cockroach Labs, a pioneer in cloud-native distributed SQL databases, today announced that its flagship product CockroachDB will support IBM LinuxONE and IBM Z systems. This strategic expansion to ...

The database system is a critical technology that underpins these platforms. With the explosion of data, SaaS platforms require modern database systems to manage and integrate the vast amounts of ...

TiDB is an open-source, cloud-native, MySQL-compatible distributed database that handles hybrid transactional and analytical processing (HTAP) workloads.

This new patent from Tianyuan will effectively improve the load balancing capability of distributed databases, providing strong support for improving data processing speed and rational resource ...

Oracle is releasing its Globally Distributed Autonomous Database, a fully managed Oracle Cloud Infrastructure (OCI) service that offers built-in, cutting-edge capabilities that redefine how ...

A lot of database processing happens in cloud computing services these days — and it’s not cheap. Moving workloads among cloud services gives those who manage large distributed databases the ...

GAIMIN will enable us to quickly and effectively process data for AI based LLM, and deploy our solutions across revolutionary highly-scalable, distributed Web3 infrastructure.