ClustrixDB vs MySQL vs PostgreSQL

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ClustrixDB

4
35
+ 1
3
MySQL

123.4K
102.7K
+ 1
3.7K
PostgreSQL

98.1K
79.6K
+ 1
3.5K
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Pros of ClustrixDB
Pros of MySQL
Pros of PostgreSQL
  • 1
    ClustrixDB is a scale-out RDBMS and drop-in replacement
  • 1
    Very High Connection Count
  • 1
    Relational Scale-Out database
  • 800
    Sql
  • 679
    Free
  • 562
    Easy
  • 528
    Widely used
  • 489
    Open source
  • 180
    High availability
  • 160
    Cross-platform support
  • 104
    Great community
  • 78
    Secure
  • 75
    Full-text indexing and searching
  • 25
    Fast, open, available
  • 16
    SSL support
  • 15
    Reliable
  • 14
    Robust
  • 8
    Enterprise Version
  • 7
    Easy to set up on all platforms
  • 2
    NoSQL access to JSON data type
  • 1
    Relational database
  • 1
    Easy, light, scalable
  • 1
    Sequel Pro (best SQL GUI)
  • 1
    Replica Support
  • 761
    Relational database
  • 510
    High availability
  • 439
    Enterprise class database
  • 383
    Sql
  • 304
    Sql + nosql
  • 173
    Great community
  • 147
    Easy to setup
  • 131
    Heroku
  • 130
    Secure by default
  • 113
    Postgis
  • 50
    Supports Key-Value
  • 48
    Great JSON support
  • 34
    Cross platform
  • 32
    Extensible
  • 28
    Replication
  • 26
    Triggers
  • 23
    Rollback
  • 22
    Multiversion concurrency control
  • 21
    Open source
  • 18
    Heroku Add-on
  • 17
    Stable, Simple and Good Performance
  • 15
    Powerful
  • 13
    Lets be serious, what other SQL DB would you go for?
  • 11
    Good documentation
  • 8
    Intelligent optimizer
  • 8
    Free
  • 8
    Scalable
  • 8
    Reliable
  • 7
    Transactional DDL
  • 7
    Modern
  • 6
    One stop solution for all things sql no matter the os
  • 5
    Relational database with MVCC
  • 5
    Faster Development
  • 4
    Developer friendly
  • 4
    Full-Text Search
  • 3
    Free version
  • 3
    Great DB for Transactional system or Application
  • 3
    Relational datanbase
  • 3
    search
  • 3
    Open-source
  • 3
    Excellent source code
  • 2
    Full-text
  • 2
    Text
  • 0
    Native

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Cons of ClustrixDB
Cons of MySQL
Cons of PostgreSQL
    Be the first to leave a con
    • 16
      Owned by a company with their own agenda
    • 3
      Can't roll back schema changes
    • 10
      Table/index bloatings

    Sign up to add or upvote consMake informed product decisions

    - No public GitHub repository available -

    What is ClustrixDB?

    ClustrixDB is a scale-out SQL database built from the ground up with a distributed shared nothing architecture, automatic data redistribution (so you never need to shard), with built in fault tolerance, all accessible by a simple SQL interface and support for business critical MySQL features – replication, triggers, stored routines, etc.

    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.

    What is 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.

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    What companies use ClustrixDB?
    What companies use MySQL?
    What companies use PostgreSQL?
      No companies found

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      What tools integrate with ClustrixDB?
      What tools integrate with MySQL?
      What tools integrate with PostgreSQL?
        No integrations found

        Sign up to get full access to all the tool integrationsMake informed product decisions

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        What are some alternatives to ClustrixDB, MySQL, and PostgreSQL?
        MariaDB
        Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.
        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.
        Microsoft SQL Server
        Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.
        SQLite
        SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.
        Memcached
        Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.
        See all alternatives