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Atlas-DB

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SqlPad

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Atlas-DB vs SqlPad: 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 SqlPad? *Run SQL in your browser and chart the results *. A Node.js web app for writing and running SQL queries and visualizing the results. Supports Postgres, MySQL, SQL Server, Crate and Vertica.

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

Atlas-DB and SqlPad are both open source tools. SqlPad with 2.54K GitHub stars and 407 forks on GitHub appears to be more popular than Atlas-DB with 2.4K GitHub stars and 204 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 SqlPad?

A Node.js web app for writing and running SQL queries and visualizing the results. Supports Postgres, MySQL, SQL Server, Crate and Vertica.

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

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