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Azure Cosmos DB

A fully-managed, globally distributed NoSQL database service
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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.
Azure Cosmos DB is a tool in the NoSQL Database as a Service category of a tech stack.

Who uses Azure Cosmos DB?

Companies
66 companies reportedly use Azure Cosmos DB in their tech stacks, including Microsoft, Mews, and Core Banking.

Developers
355 developers on StackShare have stated that they use Azure Cosmos DB.

Azure Cosmos DB Integrations

JavaScript, Python, Node.js, Java, and MongoDB are some of the popular tools that integrate with Azure Cosmos DB. Here's a list of all 19 tools that integrate with Azure Cosmos DB.
Pros of Azure Cosmos DB
27
Best-of-breed NoSQL features
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High scalability
15
Globally distributed
14
Automatic indexing over flexible json data model
10
Tunable consistency
10
Always on with 99.99% availability sla
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Javascript language integrated transactions and queries
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Predictable performance
5
High performance
5
Analytics Store
2
Ease of use
2
No Sql
2
Rapid Development
2
Auto Indexing
Decisions about Azure Cosmos DB

Here are some stack decisions, common use cases and reviews by companies and developers who chose Azure Cosmos DB in their tech stack.

Need thoughts of which services to use either Amazon DynamoDB or Azure Cosmos DB. I'm more interested in performance comparision between these tools

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We have an in-house build experiment management system. We produce samples as input to the next step, which then could produce 1 sample(1-1) and many samples (1 - many). There are many steps like this. So far, we are tracking genealogy (limited tracking) in the MySQL database, which is becoming hard to trace back to the original material or sample(I can give more details if required). So, we are considering a Graph database. I am requesting advice from the experts.

  1. Is a graph database the right choice, or can we manage with RDBMS?
  2. If RDBMS, which RDMS, which feature, or which approach could make this manageable or sustainable
  3. If Graph database(Neo4j, OrientDB, Azure Cosmos DB, Amazon Neptune, ArangoDB), which one is good, and what are the best practices?

I am sorry that this might be a loaded question.

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Ravi Upadhyay
Architect-IoT at A. P. Moller Maerks · | 3 upvotes · 9K views
Shared insights
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Power BIPower BIAzure Cosmos DBAzure Cosmos DB

I am currently using Azure Cosmos DB for our IoT platform and am planning to switch to another #NoSQL database for cost and other related issues. I am also looking for a database that has higher capabilities towards reporting solutions through Power BI or other reporting tools.

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Azure Cosmos DB's Features

  • Fully managed with 99.99% Availability SLA
  • Elastically and highly scalable (both throughput and storage)
  • Predictable low latency: <10ms @ P99 reads and <15ms @ P99 fully-indexed writes
  • Globally distributed with multi-region replication
  • Rich SQL queries over schema-agnostic automatic indexing
  • JavaScript language integrated multi-record ACID transactions with snapshot isolation
  • Well-defined tunable consistency models: Strong, Bounded Staleness, Session, and Eventual

Azure Cosmos DB Alternatives & Comparisons

What are some alternatives to Azure Cosmos DB?
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

Azure Cosmos DB's Followers
829 developers follow Azure Cosmos DB to keep up with related blogs and decisions.