Hello Debashish Roy, here are the points you need go through it!
Massively scalable architecture – a masterless design where all nodes are the same, which provides operational simplicity and easy scale-out.
Active everywhere design – all nodes may be written to and read from.
Linear scale performance – the ability to add nodes without going down produces predictable increases in performance.
Continuous availability – offers redundancy of both data and node function, which eliminate single points of failure and provide constant uptime.
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Transparent fault detection and recovery – nodes that fail can easily be restored or replaced.
Flexible and dynamic data model – supports modern data types with fast writes and reads.
Strong data protection – a commit log design ensures no data loss and built in security with backup/restore keeps data protected and safe.
Tunable data consistency – support for strong or eventual data consistency across a widely distributed cluster.
Multi-data center replication – cross data center (in multiple geographies) and multi-cloud availability zone support for writes/reads.
Data compression – data compressed up to 80% without performance overhead.
CQL (Cassandra Query Language) – an SQL-like language that makes moving from a relational database very easy.
I hope this will this will helps you! Thanks for reading.
Regards
Gnanasekar
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