Cassandra 4. How did we deliver the most stable database release ever shipped? Read the Blog. What is Apache Cassandra? Apache Cassandra is an open source NoSQL distributed database trusted by thousands of companies for scalability and high availability without compromising performance. Linear scalability and proven fault-tolerance on commodity hardware or cloud infrastructure make it the perfect platform for mission-critical data.
Cassandra Users Cassandra is used by thousands of companies with large active data sets. Read Case Studies. In March , Cassandra became an Apache Incubator project. In April , it graduated from the incubator, becoming a top-level project for the Apache Foundation.
Today, Cassandra is freely available under the Apache License 2. Beyond that, Cassandra delivers a slew of other benefits. Open Source: Modern software development organizations have overwhelmingly moved to adopt open source technologies, starting with the Linux operating system and progressing into infrastructure for managing data.
Open source technologies are attractive because of their affordability and extensibility, as well as the flexibility to avoid vendor lock-in.
Organizations adopting open source report higher speed of innovation and faster adoption. In these configurations, a single primary replica performs read and write operations, while secondary replicas are only able to perform read operations.
Downsides to this architecture include increased latency, as well as higher costs and lower availability at scale. In this scenario, No-SQL is the best option. Performance: If you can design the data model aptly by keeping in mind the queries you need to answer, you can get your answers in milliseconds. Time-series Data: Cassandra is superb when it comes to recording, processing, and retrieving of time-series data.
NoSQL databases are capable of supporting a wide range of data that includes documents, key-values, and graph formats. It can store both unstructured and semi-structured data. It adheres to a peer-to-peer architecture. The MySQL databases support related data stored among several tables.
MySQL stores structured data in an organized way. The relational model consists of tables relations that can be easily interlinked by the keys common to multiple tables. MySQL lends support for vertical scaling.
Because of the cluster node model, horizontal scaling is also possible. Data can be partitioned easily among different nodes in a cluster. Let us consider a platform where users can post. Given below are some of the features of Cassandra:. Therefore it maintains a quick response time. It can dynamically accommodate changes to your data structures according to your need. It performs blazingly fast writes and can store hundreds of terabytes of data, without sacrificing the read efficiency.
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