Cassandra – An Approach towards NOSQL DB systems

Apache Cassandra Database is highly scalable and available platform for distributed database systems with no single point of failure.It is employed in commodity servers that deal with large sets of structured data. It is free, open-source (source code can be changed at any point of time) and possesseslower latency making it survive regional outages. It is driving many of today’s modern application businesses.

Cassandra serves both real-time operational store database (online transactional applications) and read-intensive database (large scale Business Intelligence system). It does not support a fully relational data model, instead, it supports a simple data model with dynamic control of data layout and format.

Cassandra is flexible in its data storage as it stores all kinds of unstructured, semi-structured and structured data across data centers as well as cloud. Changes to this data can be updated as per the need. Cassandra ensures strong security and also lowers Total Cost of Ownership (TCO).

Some of the key points include:

  • Cassandra is consistent and fault-tolerant
  • Its database is column-oriented
  • Created on Facebook, it completely differs from RDBMS
  • Successfully employed and deployed by some of the notable enterprises like Twitter, Netflix, Cisco, eBay, etc.,
  • Its design is inspired from Amazon’s Dynamo, and
  • Its data model is inspired from Google’s Bigtable so that it avails maximum flexibility with quick response time.
  • It supports simple transactions with both read and write scalability.
  • Cassandra Query Language (CQL, just like SQL) moves any kind of RDBMS to Cassandra.

Tools like nodetool (command line management) and Cassandra-stress (load-stressing a basic benchmarking) are installed in Cassandra by default. Cassandra supports numerous language drivers so that any kind of applications can run optimally, be it: Python, Ruby, Java, C++, etc.,

Architecture Explained

Cassandra architecture is designed keeping in mind the fact that “system hardware errors can and do occur”. The architecture is distributed and data is placed on different machines. It is a type of NoSQL database, but Cassandra’s architecture is forefront, making it even outperform NoSQL alternatives in real applications. Its architecture is built-for-scale, which means it can handle petabytes of information and thousands of operations per second, independent of special hardware or software.

Cassandra runs on a single daemon. To run a program, there is no need of a complex set of configuration, locking, and other services.It is far from the legacy concept of “master” node, and all nodes are identical and communicate equally with each other. Its design is in the form of a “masterless” ring with the multi-master approach, that is easy to setup and maintain.


Here the circled numbers in red represent nodes, whereas the interlinking in blue represents distributed architecture. In the image above, the client is sending data to the various nodes present in its architecture. Operation and scale out are simple and none of the nodes havea special role.

Cassandra complementing Hadoop

Apache Cassandra is complementing Hadoop as it comes out as a perfect choice for online Web and Mobile applications and has a batch-oriented data warehouse environment which aids processing of colder data for the purpose of analytics.This enables any IT Organization to effectively support analytic “tempos” required for the efficient run of business.

Career Opportunities

Apache Cassandra Developers develop and work on projects. They also develop applications that leverage on databases.Cassandra training helps both the Administrator or Architectwith knowledge on the latest advancements in Cassandra and you can land in a decent job if you are a fresher seeking a job. You learn to implement appropriate use cases using the highly scalable database.These days, the job market for Cassandra is on a high rise, growing at a rate of 300%. Hence, it is high time to take a step towards Apache Cassandra.