Google Cloud SQL for PostgreSQL vs Redis

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Google Cloud SQL for PostgreSQL

146
106
+ 1
0
Redis

60K
46K
+ 1
3.9K
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Pros of Google Cloud SQL for PostgreSQL
Pros of Redis
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    • 887
      Performance
    • 542
      Super fast
    • 514
      Ease of use
    • 444
      In-memory cache
    • 324
      Advanced key-value cache
    • 194
      Open source
    • 182
      Easy to deploy
    • 165
      Stable
    • 156
      Free
    • 121
      Fast
    • 42
      High-Performance
    • 40
      High Availability
    • 35
      Data Structures
    • 32
      Very Scalable
    • 24
      Replication
    • 23
      Pub/Sub
    • 22
      Great community
    • 19
      "NoSQL" key-value data store
    • 16
      Hashes
    • 13
      Sets
    • 11
      Sorted Sets
    • 10
      Lists
    • 10
      NoSQL
    • 9
      Async replication
    • 9
      BSD licensed
    • 8
      Integrates super easy with Sidekiq for Rails background
    • 8
      Bitmaps
    • 7
      Open Source
    • 7
      Keys with a limited time-to-live
    • 6
      Lua scripting
    • 6
      Strings
    • 5
      Awesomeness for Free
    • 5
      Hyperloglogs
    • 4
      Runs server side LUA
    • 4
      Transactions
    • 4
      Networked
    • 4
      Outstanding performance
    • 4
      Feature Rich
    • 4
      Written in ANSI C
    • 4
      LRU eviction of keys
    • 3
      Data structure server
    • 3
      Performance & ease of use
    • 2
      Temporarily kept on disk
    • 2
      Dont save data if no subscribers are found
    • 2
      Automatic failover
    • 2
      Easy to use
    • 2
      Scalable
    • 2
      Channels concept
    • 2
      Object [key/value] size each 500 MB
    • 2
      Existing Laravel Integration
    • 2
      Simple

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    Cons of Google Cloud SQL for PostgreSQL
    Cons of Redis
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      • 15
        Cannot query objects directly
      • 3
        No secondary indexes for non-numeric data types
      • 1
        No WAL

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      What is Google Cloud SQL for PostgreSQL?

      With Cloud SQL for PostgreSQL, you can spend less time on your database operations and more time on your applications.

      What is 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.

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      What companies use Google Cloud SQL for PostgreSQL?
      What companies use Redis?
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      What tools integrate with Google Cloud SQL for PostgreSQL?
      What tools integrate with Redis?

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      What are some alternatives to Google Cloud SQL for PostgreSQL and Redis?
      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