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AWS Clean Rooms

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MySQL

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Pros of AWS Clean Rooms
Pros of MySQL
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    • 800
      Sql
    • 679
      Free
    • 562
      Easy
    • 528
      Widely used
    • 490
      Open source
    • 180
      High availability
    • 160
      Cross-platform support
    • 104
      Great community
    • 79
      Secure
    • 75
      Full-text indexing and searching
    • 26
      Fast, open, available
    • 16
      Reliable
    • 16
      SSL support
    • 15
      Robust
    • 9
      Enterprise Version
    • 7
      Easy to set up on all platforms
    • 3
      NoSQL access to JSON data type
    • 1
      Relational database
    • 1
      Easy, light, scalable
    • 1
      Sequel Pro (best SQL GUI)
    • 1
      Replica Support

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    Cons of AWS Clean Rooms
    Cons of MySQL
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      • 16
        Owned by a company with their own agenda
      • 3
        Can't roll back schema changes

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      What is AWS Clean Rooms?

      It is a fully managed analytics service that helps customers collaborate with their partners without sharing or copying one another’s raw data. Companies can create a clean room in minutes, removing the need to build, manage, or maintain their own solutions or move data outside of AWS.

      What is 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.

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      What companies use AWS Clean Rooms?
      What companies use MySQL?
        No companies found
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        What tools integrate with AWS Clean Rooms?
        What tools integrate with MySQL?

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        What are some alternatives to AWS Clean Rooms and MySQL?
        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.
        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.
        Redis
        Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
        Amazon S3
        Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
        See all alternatives