
Databases
Blog posts tagged with Databases


Backing up and restoring Crate databases
30/11/2015Our databases contain valuable and business critical information and whilst there have always been manual ways to create restorable backups of Crate databases, as of version 0.53, we are pleased to announce the 'Snapshots' feature.

CTop: A top tool for Crate Clusters
03/02/2016Meet Christian Haudum, aka 'Haudi', one of Crate's integration engineers and a fan of vinyl and dub step.

Managing data storage with block chain and big chain DB
06/04/2016There's no denying that whilst Bitcoin's future may be hazy right now, the underlying technology it relies upon -- the Blockchain -- has revolutionized many industries and projects, with more to come.

Video - Real World Use Cases of NoSQL Databases
13/04/2016A modern and flexible alternative to databases

Interview With Manish Gupta of Redis Labs
27/05/2017Check out an interview with Manish Gupta, Chief Marketing Officer of Redis Labs, about data stores, open source, and more.

Fluree- Blockchain, GraphQL, and More- All in One Database
21/05/2019Learn more about Fluree and listen to an interview one of our Zone Leaders had with Co-CEO Brian Platz.

The Weekly Squeak — Tanmai Gopal of Hasura
23/09/2020This Weekly Squeak, I speak with Tanmai Gopal about Hasura, an open source and hosted platform that brings instant GraphQL APIs to your data.

At 30 years old, can MySQL Revamp Itself for the AI Age?
14/08/2025On May 23rd 2025, the MySQL database celebrated its 30th anniversary. Look at the usage trends for databases on DB-engine and MySQL and its owner since 2010, Oracle's own product occupy the top two spots. However, the same rankings show that the popularity of most of the top four is declining, especially for MySQL.
It has been in slow decline since the era of "cloud computing" began, but like many other areas of technology, it is the demands of and for artificial intelligence (AI) that are causing the most pressure. As it celebrates its 30th year, what is the project doing to remain relevant and competitive in the new AI age? With rivals hot on its tail and some of its biggest competitors offering fully compatible, free alternatives, how does it plan to survive for another 30 years?