ISRO CS Original Papers and Official Keys.GATE CS Original Papers and Official Keys.TablePlus provides a GUI tool for you to manage Cassandra effectively. Looking for a good Cassandra GUI client? TryTablePlus! It’s widely used in the field of IOT as it can offer real-time insights with minimum time required. It’s not designed to update or delete data, so the best use case for Cassandra is to write time-based log’s activities, sensor data, error logging, etc. The biggest advantage of using Cassandra is that you can achieve super fast writes and reads in a distributed high available ecosphere, and in extremely large scale projects. Data compression - data compressed up to 80% without performance overhead.Multi-datacenter replication - cross data center (in multiple geographies) and multi-cloud availability zone support for writes/reads.
Tunable data consistency - support for strong or eventual data consistency across a widely distributed cluster.Strong data protection - a commit log design ensures no data loss and built-in security with backup/restore keeps data protected and safe.Flexible and dynamic data model - supports modern data types with fast writes and reads.Transparent fault detection and recovery - nodes that fail can easily be restored or replaced.Continuous availability - offers redundancy of both data and node function, which eliminate single points of failure and provide constant uptime.Linear scale performance - the ability to add nodes without going down produces predictable increases in performance.Active everywhere design - all nodes may be written to and read from.Massively scalable architecture - a masterless design where all nodes are the same, which provides operational simplicity and easy scale-out.Key Features and Benefits of Cassandra Database Cassandra was originally developed at Facebook, was open sourced in 2008, and became a top-level Apache project in 2010.
Apache Cassandra (Cassandra DB) is a free and open-source distributed wide column store NoSQL database management system designed to handle large amounts of data across many commodity servers, providing high availability with no single point of failure.
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