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), ...
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 ...
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 ...
SQL will continue to serve as the lingua franca but the world of data will speak in graphs, vectors, LLMs too– and relational databases will stay but not in the same chair. Here’s why?
For over two decades, Oracle, IBM, and Microsoft relational databases were the only consistent leaders in the Gartner Magic Quadrant for Operational Database Management Systems--and there were few ...
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 ...
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 ...
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 ...
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