Azure Cosmos DB logo

Azure Cosmos DB

Enables businesses to build and upgrade applications using various database models while guaranteeing high availability, low latency, and multi-master replication.

Made by Microsoft

  • Email/Help Desk

  • Knowledge Base

  • Phone Support

  • FAQs/Forum

What is Azure Cosmos DB?

Azure Cosmos DB is a managed NoSQL database service that empowers organizations to build and scale applications with ease. It offers native support for multiple NoSQL data models, including document, graph, key-value, and more, allowing developers to choose the right data model for their specific needs

Highlights

  • Supports multiple well-defined consistency models, enabling businesses to balance data consistency, availability, and partition tolerance based on their application requirements
  • Guarantees single-digit-millisecond latencies at the 99th percentile, ensuring a responsive user experience even for globally distributed applications
  • Maintains high availability with multi-homing capabilities, allowing applications to be accessed from anywhere in the world with low latencies
  • Provides built-in SDKs for popular programming languages, simplifying application development and integration
  • Enables real-time analytics and AI on operational data through seamless integration with Azure Synapse Analytics
  • Offers support for a wide range of APIs, including SQL (Core), Cassandra, Gremlin, and MongoDB, empowering developers to utilize their preferred data access methods.

Platforms

  • Mobile Android
  • Web-based
  • Desktop Linux
  • On-Premise Linux
  • Windows
  • Desktop Windows
  • Mobile iPad
  • Cloud, SaaS, Web-based
  • Mobile iPhone
  • Desktop Mac
  • On-Premise Windows
  • Desktop Chromebook

Social

Features

    • Rich SQL queries over schema-agnostic automatic

    • Fully managed with 99.99% Availability SLA

    • Globally distributed with multi-region replication

    • JavaScript language integrated multi-record ACID

    • Predictable low latency: <10ms @ P99 reads and

    • Elastically and highly scalable (both throughput

    • Well-defined tunable consistency models: Strong,