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Atlas-DB

5
61
+ 1
0
mysql_utils

11
31
+ 1
0
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Atlas-DB vs mysql_utils: 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; mysql_utils: Pinterest's MySQL management tools. Pinterest MySQL Management Tools. The tools used to manage Pinterest's MySQL instances and how you can implement them to automate your MySQL infrastructure.

Atlas-DB and mysql_utils belong to "Database Tools" category of the tech stack.

Atlas-DB and mysqlutils are both open source tools. It seems that Atlas-DB with 2.4K GitHub stars and 204 forks on GitHub has more adoption than mysqlutils with 871 GitHub stars and 141 GitHub forks.

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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 mysql_utils?

Pinterest MySQL Management Tools. The tools used to manage Pinterest's MySQL instances and how you can implement them to automate your MySQL infrastructure.

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What tools integrate with Atlas-DB?
What tools integrate with mysql_utils?
    No integrations found
    What are some alternatives to Atlas-DB and mysql_utils?
    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