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  • Apache Cassandra | Apache Cassandra Documentation
    Apache Cassandra is an open source NoSQL distributed database trusted by thousands of companies for scalability and high availability without compromising performance
  • Welcome to Apache Cassandra’s documentation! | Apache Cassandra . . .
    This is the official documentation for Apache Cassandra If you would like to contribute to this documentation, you are welcome to do so by submitting your contribution like any other patch following these instructions
  • Apache Cassandra | Apache Cassandra Documentation
    Since it is a distributed database, Cassandra can (and usually does) have multiple nodes A node represents a single instance of Cassandra These nodes communicate with one another through a protocol called gossip, which is a process of computer peer-to-peer communication
  • Apache Cassandra | Apache Cassandra Documentation
    Unmaintained older versions of Cassandra are archived here CVE fixes may be applied to unmaintained versions as decided on a case-by-case basis The PGP keys used to sign releases are available in this KEYS file
  • Apache Cassandra | Apache Cassandra Documentation
    Read through the Cassandra Basics to learn main concepts and how Cassandra works at a high level To understand Cassandra in more detail, head over to the Docs Browse through the Case Studies to learn how other users in our worldwide community are getting value out of Cassandra
  • Getting Started | Apache Cassandra Documentation
    Additional information This section covers how to get started using Apache Cassandra and should be the first thing to read if you are new to Cassandra
  • Installing Cassandra | Apache Cassandra Documentation
    Install the RPM build on CentOS and RHEL-based distributions if you want to install Cassandra using YUM Install the Debian build on Ubuntu and other Debian-based distributions if you want to install Cassandra using APT
  • Apache Cassandra | Apache Cassandra Documentation
    Cassandra 5 0 introduces vector search, which leverages storage-attached indexing and dense indexing techniques to transform data exploration and analysis This update is especially impactful for domains like machine learning and artificial intelligence (AI)


















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