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Atlas-DB

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Slack SQL

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Atlas-DB vs Slack SQL: 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; Slack SQL: Execute SQL queries inside of Slack. Now you can execute SQL queries right in your Slack input box! After config the database host and deploy the codes to whichever server, add the integration to Slack, then you can execute SQL query right in your Slack This is extremely useful for database administrators and engineers, without switching screen or opening another terminal, type the SQL query in Slack and you will get what you want!.

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

Atlas-DB and Slack SQL are both open source tools. Atlas-DB with 2.4K GitHub stars and 204 forks on GitHub appears to be more popular than Slack SQL with 111 GitHub stars and 13 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 Slack SQL?

Now you can execute SQL queries right in your Slack input box! After config the database host and deploy the codes to whichever server, add the integration to Slack, then you can execute SQL query right in your Slack. This is extremely useful for database administrators and engineers, without switching screen or opening another terminal, type the SQL query in Slack and you will get what you want!

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