Apache Cassandra is among the most widely deployed database technologies and is used by big-name organizations including Apple, ... How Cassandra 5.0 improves data density and performance.

Cassandra has long been known for its ability to handle data at massive scale, with high performance, speed, and security – and so it’s no surprise that it’s become a standard choice for AI.

Keeping latency at acceptable levels requires a data architecture that can handle the demands of globally deployed real-time applications. Apache Cassandra is perfectly suited to meet these needs ...

With Apache Ignite, Cassandra data can be made more useful.The Apache Ignite in-memory computing platform is an affordable and effective solution to make Cassandra data available for new OLTP and ...

Like Apache Cassandra, Apache Ignite is horizontally scalable, so capacity can be added just by adding nodes to the Ignite cluster. As new nodes are added, more memory is available for caching data ...

The Apache Cassandra Community has announced the general availability of Apache Cassandra 5.0, offering better data efficiency, integration of GenAI functionality, and improved performance. Apache ...

Datastax, the company best known for commercializing the open-source Apache Cassandra database, is moving beyond databases.As the company announced today, it has acquired Kesque, a cloud messaging ...

Cassandra, originally developed inside Facebook in 2008, was known from the start for its ability to scale quickly and the capability to access huge amounts of data with very little latency.

The distributed nature of Apache Cassandra – boasting an architecture that avoids any single point of failure – enables the open source database to deliver the high scalability, near 100% availability ...

Actions and words, code and advocacy. DataStax is changing strategy, re-engaging with the Apache Cassandra open source community, and releasing some interesting technical advancements while at it ...