CrateIO vs MySQL vs PostgreSQL

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CrateIO

19
39
+ 1
7
MySQL

128.5K
108.6K
+ 1
3.8K
PostgreSQL

100.6K
83.9K
+ 1
3.5K
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Pros of CrateIO
Pros of MySQL
Pros of PostgreSQL
  • 3
    Simplicity
  • 2
    Scale
  • 2
    Open source
  • 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
  • 764
    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
  • 33
    Extensible
  • 28
    Replication
  • 26
    Triggers
  • 23
    Multiversion concurrency control
  • 23
    Rollback
  • 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
  • 9
    Scalable
  • 8
    Reliable
  • 8
    Intelligent optimizer
  • 8
    Free
  • 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
    Full-Text Search
  • 4
    Developer friendly
  • 3
    Open-source
  • 3
    search
  • 3
    Great DB for Transactional system or Application
  • 3
    Free version
  • 3
    Excellent source code
  • 3
    Relational datanbase
  • 2
    Text
  • 2
    Full-text
  • 1
    Can handle up to petabytes worth of size
  • 1
    Multiple procedural languages supported
  • 1
    Composability
  • 0
    Native

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Cons of CrateIO
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

    What is CrateIO?

    Crate is a distributed data store. Simply install Crate directly on your application servers and make the big centralized database a thing of the past. Crate takes care of synchronization, sharding, scaling, and replication even for mammoth data sets.

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

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      What tools integrate with CrateIO?
      What tools integrate with MySQL?
      What tools integrate with PostgreSQL?

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

      Blog Posts

      Dec 22 2021 at 5:41AM

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      OneSignal

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      Blue Medora

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      What are some alternatives to CrateIO, MySQL, and PostgreSQL?
      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
      GitHub Actions
      It makes it easy to automate all your software workflows, now with world-class CI/CD. Build, test, and deploy your code right from GitHub. Make code reviews, branch management, and issue triaging work the way you want.
      Kafka
      Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
      See all alternatives