The Most Popular NoSQL Database, Ranked

Choose the database you think is the most popular!

Author: Gregor Krambs
Updated on Jun 20, 2024 07:05
As the tech landscape diversifies, so does the need for varied data management systems. Among these, NoSQL databases have surged in popularity, driven by their flexibility and scalability when handling large volumes of unstructured data. Choosing the right NoSQL database can be pivotal for businesses, as it influences the efficiency of data processing and the scalability of applications. This site provides a community-driven ranking of popular NoSQL databases, based on user votes. By participating, users contribute to a clearer representation of current preferences and trends in the database technology market. The collective input helps clarify which databases are excelling in the industry, aiding others in making informed decisions.

What Is the Most Popular NoSQL Database?

  1. 1


    A document-oriented NoSQL database used for high volume data storage.
    • Type: Document
    • License: Server Side Public License (SSPL)
  2. 2


    An in-memory data structure store, used as a database, cache, and message broker.
    • Type: Key-Value
    • License: BSD 3-Clause
  3. 3

    Amazon DynamoDB

    A fully managed proprietary NoSQL database service that supports key-value and document data structures.
    • Type: Key-Value and Document
    • License: Proprietary
  4. 4


    A distributed NoSQL cloud database which provides a document-oriented database for interactive applications.
    • Type: Document
    • License: Commercial
  5. 5


    An open-source document-oriented NoSQL database, implemented in Erlang.
    • Type: Document
    • License: Apache License 2.0
  6. 6

    Apache Cassandra

    A distributed NoSQL database designed to handle large amounts of data across many commodity servers.
    • Type: Wide Column
    • License: Apache License 2.0
  7. 7


    A distributed NoSQL key-value data store that offers high availability, fault tolerance, operational simplicity, and scalability.
    • Type: Key-Value
    • License: Apache License 2.0
  8. 8


    A graph database management system described as an ACID-compliant transactional database with native graph storage and processing.
    • Type: Graph
    • License: GNU General Public License v3.0
  9. 9


    An open-source, non-relational, distributed database modeled after Google's Bigtable and written in Java.
    • Type: Wide Column
    • License: Apache License 2.0
  10. 10


    A native multi-model database with flexible data models for documents, graphs, and key-values. Built for scalability.
    • Type: Multi-Model
    • License: Apache License 2.0

Missing your favorite database?

Error: Failed to render graph
No discussion started, be the first!

About this ranking

This is a community-based ranking of the most popular NoSQL database. We do our best to provide fair voting, but it is not intended to be exhaustive. So if you notice something or database is missing, feel free to help improve the ranking!


  • 93 votes
  • 10 ranked items

Voting Rules

A participant may cast an up or down vote for each database once every 24 hours. The rank of each database is then calculated from the weighted sum of all up and down votes.

Additional Information

More about the Most Popular NoSQL Database

Rank #1 for the most popular NoSQL database: MongoDB (Source)
NoSQL databases have gained popularity in recent years. They offer a flexible way to store and manage data. Unlike traditional databases, NoSQL databases do not use tables. They allow for more dynamic and scalable data models.

NoSQL databases emerged to handle the vast amounts of data generated by modern applications. They are designed to scale out by distributing data across many servers. This makes them ideal for applications that need to handle large volumes of data and high user loads.

One key feature of NoSQL databases is their schema-less design. In traditional databases, you must define the structure of your data upfront. This can be rigid and limiting. NoSQL databases, on the other hand, allow you to store data without a predefined schema. This means you can add new fields to your data without having to alter the database structure. This flexibility is useful for applications that evolve over time.

NoSQL databases also support various data models. Some use a key-value store, where data is stored as a collection of key-value pairs. Others use document stores, where data is stored in documents similar to JSON objects. There are also column-family stores, which store data in columns rather than rows, and graph databases, which store data in nodes and edges.

One of the main advantages of NoSQL databases is their ability to handle unstructured data. Traditional databases are good at handling structured data, but they struggle with unstructured data like text, images, and videos. NoSQL databases can store and manage unstructured data efficiently.

Another benefit of NoSQL databases is their horizontal scalability. Traditional databases scale vertically, meaning you need to add more resources to a single server to handle more data or users. This approach has limits and can become expensive. NoSQL databases scale horizontally by adding more servers to the database cluster. This allows them to handle more data and users without a significant increase in cost.

NoSQL databases also offer high availability and fault tolerance. They are designed to replicate data across multiple servers. If one server fails, the data is still available on other servers. This ensures that the application remains operational even in the event of hardware failures.

Performance is another area where NoSQL databases excel. They are optimized for read and write operations, making them fast and efficient. This is important for applications that require real-time data access.

Despite their advantages, NoSQL databases are not a one-size-fits-all solution. They are best suited for specific use cases where traditional databases may fall short. For example, they are ideal for big data applications, real-time web apps, and content management systems. However, they may not be the best choice for applications that require complex transactions or strong consistency guarantees.

In summary, NoSQL databases offer a flexible, scalable, and efficient way to store and manage data. Their schema-less design, support for various data models, and ability to handle unstructured data make them a popular choice for modern applications. They provide high availability, fault tolerance, and performance, making them well-suited for applications that need to process large volumes of data and handle high user loads.

Share this article