Introduction

Cassandra is an extremely modular, high-execution distributed database developed to address considerable amounts of data across multiple commodity servers, furnishing high availability with no single issue of oversight. Initially, Cassandra is a distributed NoSQL database created for Facebook to power the inbox search feature and was later released as an open-source project in July 2008.

In 2009, Cassandra became part of the Apache Incubator and Since early 2010, it has remained as a commendable Apache project. Currently, it’s a key part of the Apache Software Foundation and can be employed by anyone yearning to leverage from it. Due to its robust underlying architecture and remarkable technical features, Cassandra has taken all the accolades and become so esteemed. It can act as both a real-time operational data store and a read-intensive database for online transactional applications and large-scale business intelligence systems respectively.

Cassandra stands ahead of most database systems in terms of technical facilitations it renders over other systems. The capability to manage a lofty amount of data makes it particularly fruitful for major establishments. As a consequence, it’s presently being employed by many gigantic enterprises like Apple, Facebook, Instagram, Uber, Spotify, Twitter, Cisco, Rackspace, eBay, and Netflix.

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.

Who Can Employ Cassandra Database?

Cassandra will be a great solution for your business, if you need to keep and handle huge amounts of data through multiple servers. Also, Cassandra will be an ideal database to integrate and employ if you are scared that your data might get lost and also for those who can't maintain their database due to the breakdown of the single server. In addition to that, its ability to get easily utilised and scaled makes it perfect for enterprises looking forward to developing consistently. Cassandra can efficiently manage an extensive amount of data and simultaneous users which allows big organisations to hold immense data within a redistributed system. Yet, despite the decentralisation, it even permits users to retain control and access to data.

Some Popular Tools Integrated with Cassandra

Biggies Using Cassandra

Cassandra Database is being employed by many gigantic organisations and some of them are as mentioned:

Cassandra Pros:

  • Persistent availability of data is one captivating attribute of the Cassandra database.

  • Cassandra database is highly budget-friendly and demands very low maintenance.

  • The execution rate of the platform is extensively remarkable and has a low tolerance.

  • For organisations having applications with serious issues with execution in their production systems, the Cassandra database will be ideal.

  • Cassandra databases can efficiently manage huge datasets and it renders extensive flexibility.

  • The setup and maintenance of the Cassandra database are effortless from every perspective.

  • With Cassandra, applications can write any node always and everywhere.

  • It has involuntary workload administration and data balancing throughout the nodes.

Cassandra Cons:

  • There's so much room left for development when it comes to transferring data from Cassandra to any affinitive database platform.

  • Aggregates are not supported by Cassandra.

  • Cassandra is not appropriate for transactional data.

  • Cassandra neither supports broad analysis on storage, nor does it support sum, group, join, max, min, and any other functions that developers wish to employ to analyse data while querying.













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