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Atlas-DB

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Atlas-DB vs Compose: What are the differences?

What is 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.

What is Compose? We host databases for busy devs: production-ready, cloud-hosted, open source. Compose makes it easy to spin up multiple open source databases with just one click. Deploy MongoDB for production, take Redis out for a performance test drive, or spin up RethinkDB in development before rolling it out to production.

Atlas-DB and Compose are primarily classified as "Database" and "MongoDB Hosting" tools respectively.

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, Compose provides the following key features:

  • One click, production-ready, cloud hosted MongoDB, Redis, Elasticsearch, PostgreSQL and RethinkDB, with additional databases in beta.

Every deployment features: database autoscaling based on data size usage - private VLAN, IP whitelisting, SSL, full-stack monitoring, custom alerts - HA and fault tolerance with automatic failover

Atlas-DB is an open source tool with 2.37K GitHub stars and 201 GitHub forks. Here's a link to Atlas-DB's open source repository on GitHub.

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Pros of Atlas-DB
Pros of Compose
    Be the first to leave a pro
    • 42
      Simple to set up
    • 32
      One-click mongodb
    • 29
      Automated Backups
    • 23
      Designed to scale
    • 21
      Easy interface
    • 13
      Fast and Simple
    • 10
      Real-Time Monitoring
    • 7
      Fastest MongoDB Available
    • 6
      Great Design
    • 6
      REST API
    • 4
      Easy to set up
    • 3
      Free for testing
    • 3
      Geospatial support
    • 2
      Elasticsearch
    • 2
      Heroku Add-on
    • 1
      Automated Health Checks
    • 1
      Email Support
    • 1
      Query Logs

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    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 Compose?

    Compose makes it easy to spin up multiple open source databases with just one click. Deploy MongoDB for production, take Redis out for a performance test drive, or spin up RethinkDB in development before rolling it out to production.

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

    What companies use Atlas-DB?
    What companies use Compose?
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    What tools integrate with Atlas-DB?
    What tools integrate with Compose?
      No integrations found

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      Blog Posts

      Jun 19 2015 at 6:37AM

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      What are some alternatives to Atlas-DB and Compose?
      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.
      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.
      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.
      See all alternatives