Data scientists must know about these NoSQL databases

Data management plays a crucial role in today’s fast-paced, data-driven world. Every organization needs data scientists to manage data and glean information from them. Garnering information from volumes of data allows them to determine what strategies the organization needs to implement to promote growth. One of the most popular tools that data scientists use is a NoSQL database for sorting and managing data. 


According to Wikipedia, a NoSQL database facilitates users with the mechanism for storing and retrieving data. Besides this, they are also specially built and designed for particular data models and feature flexible schemas for creating and developing modern applications. The demand for NoSQL databases is at an all-time high, primarily because there is ample data that every major company needs to store and manage. Here are some of the most popular NoSQL databases that every data scientist should know about:


  • Amazon DynamoDB


One of the most popular NoSQL databases preferred by most data scientists is Amazon DynamoDB. It forms a crucial part of AWS’ or Amazon Web Services’ portfolio and is an exceptional tool for data scientists looking to manage small-sized applications. When it comes to large-sized ones, a few drawbacks limit the potential of the powerful tool. Some of the most appealing features of Amazon DynamoDB include:


  • The NoSQL database shares data across different AWS services, making it convenient for users to access them from any location. 
  • It is a highly scalable NoSQL database perfect for creating web-based and mobile applications that allow offline access to users and offer real-time updates. 
  • It is a highly-consistent tool capable of conveniently handling trillions of instructions every day. 


Individuals on the lookout for a database tool that can conveniently handle tons of key-value problems can go for AWS’ DynamoDB without having any second thoughts since the NoSQL database is used by numerous top-notch multinational companies all around the globe. 


  • Redis


Remote Dictionary Server or Redis is a full-fledged primary database based on the NoSQL concept. It is highly preferred by organizations around the globe for managing massive amounts of data. It is primarily a key-value database that allows users to cache pages and sessions, message queues, etc. Some of the major features of Redis are:


  • It is an immensely fast and efficient tool that facilitates users to perform cache-related tasks quickly. 
  • The versatile database software is readily available for all major operating systems, including Windows, macOS, and Linux. 
  • It allows users to select the period until which they want to store the data. Moreover, it also facilitates them to select which data they wish to delete first. 
  • To interact with the database and perform activities, users need to use specific “set” and “get” commands. 


Redis is a very easy-to-use NoSQL database that is perfect for storing data that has an expiry date. For this reason, organizations who require robust cache management and message-storing tools prefer Redis over other NoSQL databases. If you are interested to know more about Redis and how to use it as a database tool, visit


  • MongoDB


MongoDB is another popular NoSQL database that data scientists use to manage data. Ever since it was released in 2009, the popularity of the cross-platform database program has steadily increased. Currently, some of the biggest companies and organizations, including Uber and Google, use the powerful tool for data management. Here are some of the most appealing features of MongoDB:


  • MongoDB is a schema-less database that stores data in the form of JSON-like documents.
  • Since it does not feature schemas, it is highly flexible and easy to use. 
  • It is immensely scalable and readily available across all major platforms. 
  • It allows replication of the stored data using primary and secondary nodes. 


This NoSQL database is perfect for users who wish to store and view data in a single, unified view. Besides this, MongoDB is also perfect for data scientists who wish to work with applications featuring tons of reading and writing operations. 


  • Cassandra


Cassandra is an open-source, NoSQL database that facilitates users to manage loads of data conveniently. Found and developed by Facebook, Cassandra is compatible with all major operating systems. Here are some of the best features of the NoSQL database:


  • It offers high scalability and is very easy to use. 
  • It can conveniently handle tons of information and concurrent requests without stuttering. 
  • It handles writing operations exceptionally well. 


Cassandra is used by some of the best companies globally, including Netflix and Coursera. Users of the open-source tool require fewer joins and aggregation in their queries to operate it, which is one of the many reasons why data scientists choose it as their tool of choice for managing databases. 


Using a good and efficient database management tool makes it easier for users to handle complicated data management tasks. Furthermore, it facilitates them to be more effective and productive. If you are on the lookout for a top-notch NoSQL database that is easy to operate, you can consider opting for one of the popular tools mentioned above.

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