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Backend for managing dimensional time series data, by Netflix
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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.
Atlas-DB is a tool in the Database Tools category of a tech stack.
Atlas-DB is an open source tool with 2.6K GitHub stars and 217 GitHub forks. Here’s a link to Atlas-DB's open source repository on GitHub

Who uses Atlas-DB?

3 companies reportedly use Atlas-DB in their tech stacks, including Netflix, Mobicare, and Mulytic Labs.

Why developers like Atlas-DB?

Here’s a list of reasons why companies and developers use Atlas-DB
Top Reasons
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Atlas-DB's Features

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

Atlas-DB Alternatives & Comparisons

What are some alternatives to Atlas-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.
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.
It is a modern database query and access library for Scala. It allows you to work with stored data almost as if you were using Scala collections while at the same time giving you full control over when a database access happens and which data is transferred.
Sequel Pro
Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.
PostGIS is a spatial database extender for PostgreSQL object-relational database. It adds support for geographic objects allowing location queries to be run in SQL.
See all alternatives

Atlas-DB's Followers
17 developers follow Atlas-DB to keep up with related blogs and decisions.
Bryn Mitchell
Hybrid Medical Ecosystem
Nurullah Özdemir
Sajjad vafaie
Yury Buldakov
Gabriel Georgescu
Matthew Stokeley
Ali Ahmed