Apache Cassandra

Apache Cassandra

Apache Cassandra is a free, open-source, distributed NoSQL database management system designed to handle large amounts of data across many commodity servers, providing high availability with no single point of failure.
Apache Cassandra image
distributed scalable high-availability fault-tolerant wide-column-store

Apache Cassandra: A Free, Open-Source Distributed NoSQL Database

Apache Cassandra is a free, open-source, distributed NoSQL database management system designed to handle large amounts of data across many commodity servers, providing high availability with no single point of failure.

What is Apache Cassandra?

Apache Cassandra is a free, open-source, distributed NoSQL database management system designed to handle large amounts of data across many commodity servers, providing high availability with no single point of failure.

Key features of Cassandra include:

  • Decentralized architecture with no single point of failure
  • Linear scalability and proven fault-tolerance on commodity hardware
  • Flexible data storage allowing for columns and rows
  • Tunable consistency levels to allow for fast writes and reads
  • Powerful built-in caching

Cassandra offers robust support for clusters spanning multiple datacenters, with asynchronous masterless replication allowing low latency operations for all clients. Its peer-to-peer distributed system provides no single point of failure and is designed to be scalable, performant and always available.

Common uses of Apache Cassandra include:

  • Messaging apps
  • IoT applications
  • Time series data
  • Product catalogues
  • User metrics and analytics

Overall, Cassandra excels in distributed environments requiring availability, scalability and performance with a flexible data model.

Apache Cassandra Features

Features

  1. Distributed database system
  2. Linear scalability
  3. Fault tolerance
  4. Tunable consistency
  5. Column-oriented database
  6. Multi-datacenter replication

Pricing

  • Open Source

Pros

High availability

Fast writes

Tunable consistency

Flexible schema design

Linear scalability

Cons

Eventual consistency only

Complex data modeling

No joins or transactions

Limited query capabilities

Steep learning curve


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