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Atlas-DB

5
58
+ 1
0
Redis To Go

47
93
+ 1
18
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Atlas-DB vs Redis To Go: 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; Redis To Go: Simple Redis hosting. Redis To Go was created to make the managing Redis instances easier, whether it is just one instance or serveral. Deploying a new instance of Redis is dead simple, whether for production or development.

Atlas-DB and Redis To Go are primarily classified as "Database" and "Redis Hosting" tools respectively.

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.

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Pros of Atlas-DB
Pros of Redis To Go
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    • 5
      Heroku Add-on
    • 3
      Pub-Sub
    • 3
      Always up
    • 3
      Easy setup
    • 3
      Affordable
    • 1
      Perfect full sync

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    - 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 Redis To Go?

    Redis To Go was created to make the managing Redis instances easier, whether it is just one instance or serveral. Deploying a new instance of Redis is dead simple, whether for production or development.

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

    What companies use Atlas-DB?
    What companies use Redis To Go?
    See which teams inside your own company are using Atlas-DB or Redis To Go.
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    What tools integrate with Atlas-DB?
    What tools integrate with Redis To Go?
      No integrations found
      What are some alternatives to Atlas-DB and Redis To Go?
      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.
      Slick
      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.
      Spring Data
      It makes it easy to use data access technologies, relational and non-relational databases, map-reduce frameworks, and cloud-based data services. This is an umbrella project which contains many subprojects that are specific to a given database.
      See all alternatives