ElephantSQL vs Google Cloud SQL for PostgreSQL vs PaaS DB PostgreSQL

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ElephantSQL

15
86
+ 1
15
Google Cloud SQL for PostgreSQL

146
106
+ 1
0
PaaS DB PostgreSQL

1
20
+ 1
0
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Pros of ElephantSQL
Pros of Google Cloud SQL for PostgreSQL
Pros of PaaS DB PostgreSQL
  • 11
    They suck
  • 1
    Monitoring
  • 1
    Geospatial support
  • 1
    Easy setup
  • 1
    Easy backup
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      What is ElephantSQL?

      ElephantSQL hosts PostgreSQL on Amazon EC2 in multiple regions and availability zones. The servers are continuously transferring the Write-Ahead-Log (the transaction log) to S3 for maximum reliability.

      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 PaaS DB PostgreSQL?

      A simple product to get an operational database without any pain about server management, security settings and upgrading. We provide resources to instanciate your database (PostgreSQL 9.4). Our goal is to propose this service with an hourly billing.

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      What companies use ElephantSQL?
      What companies use Google Cloud SQL for PostgreSQL?
      What companies use PaaS DB PostgreSQL?
        No companies found

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        What tools integrate with ElephantSQL?
        What tools integrate with Google Cloud SQL for PostgreSQL?
        What tools integrate with PaaS DB PostgreSQL?

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        What are some alternatives to ElephantSQL, Google Cloud SQL for PostgreSQL, and PaaS DB PostgreSQL?
        Heroku
        Heroku is a cloud application platform – a new way of building and deploying web apps. Heroku lets app developers spend 100% of their time on their application code, not managing servers, deployment, ongoing operations, or scaling.
        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.
        See all alternatives