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Apache Casandra is another opensource database management system, it is NoSQL database, which rely on the key value to manipulate and store the data. Casandra is designed to handle very large amount of data. In Casandra there is also provision to store the data across the distributed server which makes the load sharing on all the database server. Distributed data store provides another advantage, which is no single point of failure so data availability increases. /p>

Cassandra is a highly scalable, distributed, and open-source NoSQL database management system designed to handle massive amounts of data across multiple commodity servers. It was originally developed by Facebook and later open-sourced

How It Works

  • The Cassandra server is the manager of the database system. It handles all your database instructions.
  • The Cassandra server then creates a subdirectory in its data directory, names the new subdirectory newdata, and puts the necessary files with the required format into the newdata subdirectory
  • Eliminate manual database management
  • The Cassandra server is usually set up so that it starts when the computer starts and continues running all the time. This is the usual setup for a website.
  • Cassandra along with a myriad of other databases store data and indexes so that you can access the data quickly, zeroing in on the piece of information you are looking for by accessing the index that gets you to it the fastest.ired
  • The Cassandra Database Software is a client/server system that consists of a multithreaded SQL server that supports different back ends, several different client programs and libraries, administrative tools, and a wide range of application programming interfaces (APIs).
  • Cassandra uses a peer-to-peer distributed replication model. Data is automatically replicated across multiple nodes in the cluster, providing redundancy and ensuring data availability even in the event of node failures
  • Cassandra is based on a schema-free data model. It allows flexible data storage and retrieval without requiring a predefined schema for each table. Instead, data is organized into a distributed, multi-dimensional map called a "column family" or "table."
  • Cassandra is known as a wide column store database, where data is stored in columns rather than rows.
  • Cassandra Query Language (CQL) is a SQL-like query language used to interact with Cassandra.
  • Cassandra is designed for high-performance data storage and retrieval. It achieves this through features like memtable and SSTable.
  • Cassandra offers tunable consistency, allowing developers to balance consistency and availability based on their application requirements.
  • Cassandra provides linear scalability, meaning that the performance of the database increases proportionally with the addition of more nodes to the cluster.
  • Cassandra is designed to be highly available and fault-tolerant. It employs features like data replication, automatic data repair, and support for multi-data center replication to ensure data durability and availability, even in the presence of node failures or network partitions.
  • Cassandra provides durability by persisting data to disk and supporting configurable durability settings.
  • Cassandra supports secondary indexes, which allow efficient querying based on non-primary key columns.
  • Cassandra integrates well with the Apache Hadoop and Spark ecosystems, allowing data to be easily processed and analyzed using popular big data tools and frameworks.
  • Cassandra is built on a distributed architecture that allows it to scale horizontally across multiple nodes in a cluster.

Why Cassandra?

The database is free and open source with a commercial license available (MySQL is now owned by Oracle after they bought Sun). Common applications for MySQL include php and java based web applications that require a DB storage backend, e.g. Dokuwiki, Joomla, xwiki e

Cassandra has one major advantage, since it is free, it is usually available on shared hosting packages and can be easily set up in a Linux, Unix or Windows environment. If a web application requires more than database, requires load balancing or sharding

Cassandra is widely used in various applications where scalability, high availability, and fault tolerance are critical requirements. It is particularly suitable for use cases involving large-scale data storage, real-time analytics, and applications that require low-latency and high write throughput.