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Azure Cosmos DB

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Azure Cosmos DB vs Mongoose: What are the differences?

Developers describe Azure Cosmos DB as "A fully-managed, globally distributed NoSQL database service". Azure DocumentDB is a fully managed NoSQL database service built for fast and predictable performance, high availability, elastic scaling, global distribution, and ease of development. On the other hand, Mongoose is detailed as "MongoDB object modeling designed to work in an asynchronous environment". Let's face it, writing MongoDB validation, casting and business logic boilerplate is a drag. That's why we wrote Mongoose. Mongoose provides a straight-forward, schema-based solution to modeling your application data and includes built-in type casting, validation, query building, business logic hooks and more, out of the box.

Azure Cosmos DB can be classified as a tool in the "NoSQL Database as a Service" category, while Mongoose is grouped under "Object Document Mapper (ODM)".

"Best-of-breed NoSQL features" is the top reason why over 13 developers like Azure Cosmos DB, while over 14 developers mention "Well documented" as the leading cause for choosing Mongoose.

Mongoose is an open source tool with 18.8K GitHub stars and 2.62K GitHub forks. Here's a link to Mongoose's open source repository on GitHub.

According to the StackShare community, Mongoose has a broader approval, being mentioned in 85 company stacks & 88 developers stacks; compared to Azure Cosmos DB, which is listed in 24 company stacks and 23 developer stacks.

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Pros of Azure Cosmos DB
Pros of Mongoose
  • 28
    Best-of-breed NoSQL features
  • 22
    High scalability
  • 15
    Globally distributed
  • 14
    Automatic indexing over flexible json data model
  • 10
    Tunable consistency
  • 10
    Always on with 99.99% availability sla
  • 7
    Javascript language integrated transactions and queries
  • 6
    Predictable performance
  • 5
    High performance
  • 5
    Analytics Store
  • 2
    Rapid Development
  • 2
    No Sql
  • 2
    Auto Indexing
  • 2
    Ease of use
  • 17
    Several bad ideas mixed together
  • 17
    Well documented
  • 10
    JSON
  • 8
    Actually terrible documentation
  • 2
    Recommended and used by Valve. See steamworks docs
  • 1
    Can be used with passportjs for oauth
  • 1
    Yeah

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Cons of Azure Cosmos DB
Cons of Mongoose
  • 18
    Pricing
  • 4
    Poor No SQL query support
  • 3
    Model middleware/hooks are not user friendly

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What is Azure Cosmos DB?

Azure DocumentDB is a fully managed NoSQL database service built for fast and predictable performance, high availability, elastic scaling, global distribution, and ease of development.

What is Mongoose?

Let's face it, writing MongoDB validation, casting and business logic boilerplate is a drag. That's why we wrote Mongoose. Mongoose provides a straight-forward, schema-based solution to modeling your application data and includes built-in type casting, validation, query building, business logic hooks and more, out of the box.

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What companies use Azure Cosmos DB?
What companies use Mongoose?
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What tools integrate with Azure Cosmos DB?
What tools integrate with Mongoose?

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What are some alternatives to Azure Cosmos DB and Mongoose?
Azure SQL Database
It is the intelligent, scalable, cloud database service that provides the broadest SQL Server engine compatibility and up to a 212% return on investment. It is a database service that can quickly and efficiently scale to meet demand, is automatically highly available, and supports a variety of third party software.
MongoDB Atlas
MongoDB Atlas is a global cloud database service built and run by the team behind MongoDB. Enjoy the flexibility and scalability of a document database, with the ease and automation of a fully managed service on your preferred cloud.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Neo4j
Neo4j stores data in nodes connected by directed, typed relationships with properties on both, also known as a Property Graph. It is a high performance graph store with all the features expected of a mature and robust database, like a friendly query language and ACID transactions.
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
See all alternatives