Category - MongoDB

MongoDB vs CosmosDB | MagnusMinds Blog
MongoDB
MongoDB vs CosmosDB | MagnusMinds Blog
Kishan Kalena
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  

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