Today’s applications—including enterprise applica­tions—need to be always on and always available and often must serve a global base of users who expect almost instantaneous response times regardless ...

NEW YORK--(BUSINESS WIRE)--Timescale, the creators of TimescaleDB - the category-defining relational database for time-series - today announced the availability of TimescaleDB 2.0 (Release Candidate), ...

ITTIA has ported its DB SQL embedded relational database to take advantage of multicore systems. In order for manufacturers of embedded devices to process and analyze all the data generated on a multi ...

SANTA CLARA, Calif.--(BUSINESS WIRE)--DataStax today announced new capabilities of the open-source GraphQL API, enabling developers to more rapidly develop applications with Apache Cassandra™ and ...

Relational databases, once the epitome of data management technology, are becoming increasingly archaic as single servers lack the nuance to support the large quantities of data generated by modern ...

SurrealDB 3.0 launches with $23M in new funding and a pitch to replace multi-database RAG stacks with a single engine that handles vectors, graphs, and agent memory transactionally.

If you want to know what’s what in Big Data analytics today, you’ve got to know the basics of NoSQL databases, and how appropriate NoSQL databases facilitate Big Data analytics. What are the most ...

Databases were traditionally highly specialized data stores that were designed for specific tasks and until recently, they've been getting even more specialized. Recall data warehouses? Somebody once ...

This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics. What is a multivalue database? Multivalue databases have tabular structure that ...

Relational SQL databases, which have been around since the 1980s, historically ran on mainframes or single servers—that’s all we had. If you wanted the database to handle more data and run faster, you ...