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Atlas-DB

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SQL Tabs

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Atlas-DB vs SQL Tabs: 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; SQL Tabs: Rich SQL Console for Postgresql. SQL Tabs is an open source cross platform desktop client for Postgresql.

Atlas-DB and SQL Tabs can be primarily classified as "Database" tools.

Some of the features offered by Atlas-DB are:

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

On the other hand, SQL Tabs provides the following key features:

  • Database explorer
  • Rich scripts output
  • Charts from query result

Atlas-DB and SQL Tabs are both open source tools. Atlas-DB with 2.4K GitHub stars and 204 forks on GitHub appears to be more popular than SQL Tabs with 752 GitHub stars and 56 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 SQL Tabs?

SQL Tabs is an open source cross platform desktop client for Postgresql

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What companies use Atlas-DB?
What companies use SQL Tabs?
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What tools integrate with Atlas-DB?
What tools integrate with SQL Tabs?
    No integrations found
    What are some alternatives to Atlas-DB and SQL Tabs?
    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