Remarkable Features of Cassandra

Withstanding the fact that every node of Cassandra is capable of executing read and write operations, it gets effortless to replicate data across hybrid cloud settings and landscapes. With Cassandra, the user is automatically redirected to the closest active node if a node fails. Surprisingly, they won’t even witness that a node has been struck offline because the applications will be working as designed even in the instance of delinquency. Because of that, applications are always accessible and so the data will never vanish. To your surprise, the built-in repair services feature will sort the issues instantly as they occur without demanding any external assistance(manual) which results in relentless productivity.

The preponderance of conventional databases portrays a primary/secondary architecture where the read and write operations are executed by a single primary replica, and secondary replicas will only be able to perform write operations. Well Surprisingly, this architecture also has drawbacks like an expanded interruption, towering costs, and inferior ease of access at scale. With Cassandra, no single node is accountable for replicating data across a cluster. Rather, every node owns the ability to execute all read and write operations and this tendency will surely uplift the enactment and append resiliency to the database.

The New-age software development establishments have irresistibly pushed themselves forward to espouse open-source technologies, starting with the Linux operating system and advancing to infrastructure for handling data. Considering the factors like affordability and extensibility, Open-source technologies are attractive. On top of that, the flexibility to sidestep vendor lock-in. Intriguingly, the enterprises adopting open source report a notable pace of innovation and faster embracement.

Since Cassandra Query Language and SQL are quite identical in terms of multiple perspectives. As most developers are acquainted with a decent amount of knowledge of SQL, it doesn't take much time for them to adapt to CQL.

In Conventional settings, it gives a hard time for measuring applications since the process is extremely time-consuming and expensive. Hence, organisations fulfil this requirement by scaling vertically with highly expensive machines. In this scenario, Cassandra allows you the ease to scale horizontally by annexing more nodes to the cluster.