MongoDB vs CosmosDB | MagnusMinds Blog

Aug 13, 2024

INTRODUCTION
                   
NoSQL databases continue to gain traction for their flexibility, scalability, and performance, two contenders stand out in the market: Cosmos DB and MongoDB. In this article, we will explore the key differences between these two popular NoSQL databases, discussing their strengths and weaknesses to help you make an informed choice for your specific needs.

What is MongoDB?

  • MongoDB is an open-source document database and leading NoSQL (Not only SQL) database.
  • MongoDB is a non-relational document database that provides support for BSON-like storage. The MongoDB database has a flexible data model that enables you to store unstructured data, and it provides full indexing support, and replication with rich and intuitive API.

What is CosmosDB?

  •  Cosmos DB is a globally distributed, multi-model database And fully managed NoSQL database, designed to provide high availability, high throughput and low latency.
  •  Cosmos DB is a NoSQL (meaning "Not only SQL", rather than "zero SQL") and vector database, which means it can handle unstructured, semi-structured, structured, and vector data types.
     

    Difference Between MongoDB And CosmosDB

    Name                                 MongoDB                                        CosmosDB
    Description MongoDB is an open-source Document database. Globally distributed, horizontally scalable, multi-model database service
    Develop By Microsoft MongoDB, Inc
    Architecture Document-oriented Architecture Globally distributed Architecture.
    Data Consistency  MongoDB offers strong consistency for primary node operations and eventual consistency for secondary nodes Cosmos DB provides more flexibility in terms of data consistency with its tunable consistency levels.
    Data Encryption MongoDB supports encryption at rest using WiredTiger storage engine’s native encryption and encryption in transit using TLS. Cosmos DB supports encryption at rest using Azure Service Encryption and encryption in transit using Transport Layer Security (TLS)
    Supported    programming languages C
    C#
    C++
    Go
    Haskell
    Java
    JavaScript
    Kotlin
    Perl
    PHP
    Python
    Ruby
    Rust
    Scala
    Swift
    .Net
    C#
    Java
    JavaScript
    JavaScript (Node.js)
    MongoDB client drivers written for various programming languagesPython
    Advantages

    Schema-less
    Document-oriented
    Scalability
    Third-party support
    Aggregation

    High availability
    Low latency
    Elastic scalability
    Tunable consistency

    Disadvantages

    Continuity
    Write limits
    Data consistency
    Security

    Partition keys
    Cost
    Security limitations
    Lack of automatic backup

 

TAGS Database
Kishan Kalena

About the Author

Kishan Kalena

I'm a Software Engineer, bringing over 2+ years of experience in .NET technologies. My expertise lies in .NET technologies including Framework, Core, MVC, ASP.NET, Entity Framework,Sql development.