Apache Cassandra is an open source distributed database system that is designed for storing and managing large amounts of structured data across commodity servers, even those spread out across the world. Cassandra can serve as both a real-time operational data store for online transactional applications and a read-intensive database for large-scale business intelligence (BI) systems. Prominent users of Cassandra include Apple, Netflix, Digg, Adobe, Twitter, HP, IBM, Rackspace, Cisco and Reddit.
Cassandra has become so popular because of its outstanding technical features, which places a high value on performance. Below are some of the features of Cassandra: Elastic scalability - Cassandra is highly scalable; it allows to add more hardware to accommodate more customers and more data as per requirement. Always on architecture - Cassandra has no single point of failure and it is continuously available for business-critical applications that cannot afford a failure. Fast linear-scale performance - Cassandra is linearly scalable, i.e., it increases your throughput as you increase the number of nodes in the cluster. Therefore it maintains a quick response time. Flexible data storage - Cassandra accommodates all possible data formats including: structured, semi-structured, and unstructured. It can dynamically accommodate changes to your data structures according to your need. Easy data distribution - Cassandra provides the flexibility to distribute data where you need by replicating data across multiple data centers. Transaction support - Cassandra supports properties like Atomicity, Consistency, Isolation, and Durability (ACID). Fast writes - Cassandra was designed to run on cheap commodity hardware. It performs blazingly fast writes and can store hundreds of terabytes of data, without sacrificing the read efficiency.
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