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Introduction
The database is an integral part of any application, and when it comes to having a database, there are two popular optionsCosmos DB and Mongodb.
Cosmos DB is a powerful database service that can store and retrieve data globally. MongoDB is a type of database designed for modern applications that are spread out across multiple locations or stored in the cloud.
Both databases have their strengths and features that cater to different use cases. This article will compare Cosmos DB and MongoDB based on various factors to help you understand them better.
Let's know more about both in detail before going to the main topic, i.e., Cosmos DB Vs MongoDB.
What is Cosmos DB?
Cosmos DB is a competent NoSQL database service distributed worldwide and supports multiple data models. It gives you consistent and reliable data processing without long delays. It has excellent availability, so your database is always accessible. Plus, it can handle large amounts of data with its impressive processing capacity.
This technology helps your data scale and reach users around the world. It stores data in multiple Azure data centers across different regions. It makes it easily accessible. With Azure Cosmos DB, you can quickly retrieve and store data. It is done with operations taking less than 10ms. It's important to note that all operations are handled locally and replicated based on the chosen consistency model.
What is MongoDB?
MongoDB is a strong NoSQL database often used in modern cloud-based applications. It is created to store data in BSON format, a binary version of JSON-like documents. MongoDB provides high flexibility by supporting arrays and nested JSON objects, allowing users to structure their data to meet their individual needs.
MongoDB's simple service option makes it even more intriguing and appealing. Its flagship service, Atlas, enables users to leverage MongoDB as a Database as a Service (DBaaS) on popular cloud platforms such as Google Cloud Platform, Azure, or AWS. MongoDB can be installed on Windows and Linux systems if customers retain their database on their local machine.
Application and Use Cases
Cosmos DB: It is often used to store and get back user-generated content (UGC) in apps like websites, mobile apps, and social media platforms. UGC can be chat messages, tweets, blog posts, ratings, and comments.
MongoDB: It is widely used in different industries for a range of applications. It's commonly employed in:
Content management systems.
Real-time analytics.
IoT applications.
Mobile development.
Personalized customer data management.
Product databases.
Social networks.
Event logging.
Data aggregation.
MongoDB's flexibility, scalability, and speedy query performance make it suitable for these various use cases.
Pictorial Representation
Let's understand both with the help of a diagram:
CosmosDB
This is the image that helps you understand CosmosDB work in a better way:
In this representation, an Azure Cosmos DB Account acts as the top-level Container. It contains multiple Databases, which in turn contain Containers. Each Container is for storing Items (JSON-like objects). The Containers can have different structures or schemas, providing flexibility in data modeling.
MongoDB
This is the image that helps you understand MongoDB work in a better way:
In this representation, MongoDB Database serves as the top-level Container. It contains multiple Collections, similar to tables in a relational database. Each Collection stores Documents(Items), which are JSON-like objects. The Documents within a Collection can have different structures or schemas. MongoDB's flexible document model allows for dynamic data modeling and schema evolution.
Cosmos DB Vs. MongoDB
So now that we have discussed Cosmos DB and MongoDB in detail, we can now compare CosmosDB Vs. MongoDB.
Attributes
Cosmos DB
MongoDB
Scalability
Cosmos DB offers global distribution and automatic scaling with built-in partitioning, enabling seamless scaling across regions.
MongoDB requires manual sharding for horizontal scaling.
Multi-Region Replication
Cosmos DB has built-in multi-region replication for data redundancy and disaster recovery.
MongoDB relies on external tools or manual configuration for achieving multi-region replication.
Data Model
Cosmos DB supports multiple data models, including key-value, document, graph, and columnar data, providing more flexibility.
MongoDB primarily uses the document data model.
Query Language
Cosmos DB supports SQL-like queries (SQL API) and MongoDB's query language, JavaScript, Gremlin, and Apache Cassandra Query Language (CQL).
MongoDB uses a query language based on JSON-like syntax.
Cost Model
Pay-per-usage based on storage, throughput, and regions.
Self-hosted, cloud provider pricing models.
Schema Enforcement
Optional (can have schema-agnostic containers).
Strongly enforced within a collection.
Indexing Options
Automatic indexing on all properties.
Customizable indexing options.
Ultimately, the choice between Cosmos DB and MongoDB depends on your specific use case, scalability requirements, and familiarity with the respective ecosystems. Consider factors such as data model, API support, scalability, consistency, global distribution, indexing, and pricing to make an informed decision.
Frequently Asked Questions
Is CosmosDB better than MongoDB?
The choice between Cosmos DB and MongoDB depends on specific use cases and requirements. Cosmos DB offers global distribution and multi-model capabilities, while MongoDB provides flexibility and a strong open-source ecosystem.
Does CosmosDB use MongoDB?
No, Cosmos DB does not use MongoDB internally. However, Cosmos DB provides a MongoDB API that allows you to interact with Cosmos DB using the MongoDB protocol and query language, providing compatibility with MongoDB applications.
Does MongoDB need coding?
Yes, MongoDB requires coding to interact with the database and perform operations such as querying, inserting, updating, and deleting data. You must use programming languages like JavaScript, Python, or other supported languages to interact with MongoDB programmatically.
Conclusion
Cosmos DB and MongoDB are powerful databases that handle diverse application workloads. In this article, we have discussed Cosmos DB Vs MongoDB, their pictorial representation, and application and use cases.
So now that you have learned about Cosmos DB Vs MongoDB, you can refer to similar articles.