Get Advice Icon

Need advice about which tool to choose?Ask the StackShare community!

Atlas-DB

6
77
+ 1
0
Azure Cosmos DB

594
1.1K
+ 1
130
Add tool

Atlas-DB vs Azure Cosmos DB: What are the differences?

Atlas-DB: Backend for managing dimensional time series data, by Netflix. Atlas was developed by Netflix to manage dimensional time series data for near real-time operational insight. Atlas features in-memory data storage, allowing it to gather and report very large numbers of metrics, very quickly; Azure Cosmos DB: 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.

Atlas-DB can be classified as a tool in the "Database Tools" category, while Azure Cosmos DB is grouped under "NoSQL Database as a Service".

Some of the features offered by Atlas-DB are:

  • Manages dimensional time series data
  • In-memory data storage
  • Captures operational intelligence

On the other hand, Azure Cosmos DB provides the following key 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

Atlas-DB is an open source tool with 2.4K GitHub stars and 204 GitHub forks. Here's a link to Atlas-DB's open source repository on GitHub.

Manage your open source components, licenses, and vulnerabilities
Learn More
Pros of Atlas-DB
Pros of Azure Cosmos DB
    Be the first to leave a pro
    • 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

    Sign up to add or upvote prosMake informed product decisions

    Cons of Atlas-DB
    Cons of Azure Cosmos DB
      Be the first to leave a con
      • 18
        Pricing
      • 4
        Poor No SQL query support

      Sign up to add or upvote consMake informed product decisions

      497
      168
      369
      1
      - No public GitHub repository available -

      What is Atlas-DB?

      Atlas was developed by Netflix to manage dimensional time series data for near real-time operational insight. Atlas features in-memory data storage, allowing it to gather and report very large numbers of metrics, very quickly.

      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.

      Need advice about which tool to choose?Ask the StackShare community!

      What companies use Atlas-DB?
      What companies use Azure Cosmos DB?
      Manage your open source components, licenses, and vulnerabilities
      Learn More

      Sign up to get full access to all the companiesMake informed product decisions

      What tools integrate with Atlas-DB?
      What tools integrate with Azure Cosmos DB?
        No integrations found

        Sign up to get full access to all the tool integrationsMake informed product decisions

        What are some alternatives to Atlas-DB and Azure Cosmos DB?
        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.
        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.
        PostgreSQL
        PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
        Redis
        Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
        See all alternatives