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Atlas-DB vs SqlPad

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Atlas-DB
6
77
+ 1
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SqlPad
17
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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.

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What companies use Atlas-DB?
What companies use SqlPad?
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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.
      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

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