GraphQL Cache vs PostgreSQL

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GraphQL Cache

23
38
+ 1
0
PostgreSQL

98.5K
82.4K
+ 1
3.5K
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Pros of GraphQL Cache
Pros of PostgreSQL
    Be the first to leave a pro
    • 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
      Free
    • 8
      Reliable
    • 8
      Intelligent optimizer
    • 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
      Excellent source code
    • 3
      Free version
    • 3
      Great DB for Transactional system or Application
    • 3
      Relational datanbase
    • 3
      search
    • 3
      Open-source
    • 2
      Text
    • 2
      Full-text
    • 1
      Can handle up to petabytes worth of size
    • 1
      Composability
    • 1
      Multiple procedural languages supported
    • 0
      Native

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    Cons of GraphQL Cache
    Cons of PostgreSQL
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      • 10
        Table/index bloatings

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      What is GraphQL Cache?

      A custom middleware for graphql-ruby that handles key construction and cache reads/writes transparently.

      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 GraphQL Cache?
      What companies use PostgreSQL?
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      What tools integrate with GraphQL Cache?
      What tools integrate with PostgreSQL?

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      What are some alternatives to GraphQL Cache and PostgreSQL?
      GraphQL
      GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.
      MobX
      MobX is a battle tested library that makes state management simple and scalable by transparently applying functional reactive programming (TFRP). React and MobX together are a powerful combination. React renders the application state by providing mechanisms to translate it into a tree of renderable components. MobX provides the mechanism to store and update the application state that React then uses.
      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.
      See all alternatives