NoSQL Database: Cassandra is a Better Option to Handle Big Data

Apache Cassandra is an open source distributed database management system designed to handle large amounts of data across many commodity servers, providing high availability with no single point of failure. Cassandra offers robust support for clusters spanning multiple datacenters, [1] with asynchronous master less replication allowing low latency operations for all clients. Like good carpenters, data engineers know that different tasks require different tools. Picking the right tools -- and knowing how to use them -- can be the most important part of any job. Apache cassandra, a prime level Apache project born at Facebook and designed on Amazon's generator and Google's huge Table, may be a distributed info for managing giant amounts of structured knowledge across several goods servers, whereas providing extremely offered service and no single purpose of failure. cassandra offers capabilities that relative databases and different NoSQL databases merely cannot match such as continuous handiness, linear scale performance, operational simplicity and simple knowledge distribution across multiple knowledge centers and cloud handiness zones [2]. Cassandra's design is to blame for its ability to scale, perform, and supply continuous time period. instead of employing a bequest master-slave or a manual and difficult-to-maintain shared design, cassandra features a lordless ?ring? style that's elegant, simple to setup, and simple to keep up. Apache Cassandra is a massively scalable open source non-relational database that offers continuous availability, linear scale performance, operational simplicity and easy data distribution across multiple data centers and cloud availability zones. Cassandra was originally developed at Facebook, was open sourced in 2008, and became a top-level Apache project in 2010.