ClearDB vs GenieDB vs Google Cloud SQL

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ClearDB

27
83
+ 1
28
GenieDB

0
5
+ 1
0
Google Cloud SQL

556
570
+ 1
46
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Pros of ClearDB
Pros of GenieDB
Pros of Google Cloud SQL
  • 7
    Cloud SQL
  • 6
    Heroku
  • 4
    Fast
  • 3
    Great Backup
  • 3
    Easy to use
  • 2
    Scalability
  • 1
    Great Support
  • 1
    Geographic redundancy
  • 1
    Master / master replication
    Be the first to leave a pro
    • 13
      Fully managed
    • 10
      Backed by Google
    • 10
      SQL
    • 4
      Flexible
    • 3
      Encryption at rest and transit
    • 3
      Automatic Software Patching
    • 3
      Replication across multiple zone by default

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    What is ClearDB?

    ClearDB uses a combination of advanced replication techniques, advanced cluster technology, and layered web services to provide you with a MySQL database that is "smarter" than usual.

    What is GenieDB?

    GenieDB’s DBaaS uses multi-master replication and multi-regional distribution on multiple cloud infrastructures (Amazon AWS, IBM Softlayer, DigitalOcean, Rackspace Cloud, and Google Cloud) to help reduce latency, eliminate downtime, and easily scale your database.

    What is Google Cloud SQL?

    Run the same relational databases you know with their rich extension collections, configuration flags and developer ecosystem, but without the hassle of self management.

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    What companies use ClearDB?
    What companies use GenieDB?
    What companies use Google Cloud SQL?
      No companies found

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      What tools integrate with ClearDB?
      What tools integrate with GenieDB?
      What tools integrate with Google Cloud SQL?
        No integrations found

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        What are some alternatives to ClearDB, GenieDB, and Google Cloud SQL?
        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.
        Heroku Postgres
        Heroku Postgres provides a SQL database-as-a-service that lets you focus on building your application instead of messing around with database management.
        Firebase
        Firebase is a cloud service designed to power real-time, collaborative applications. Simply add the Firebase library to your application to gain access to a shared data structure; any changes you make to that data are automatically synchronized with the Firebase cloud and with other clients within milliseconds.
        Amazon RDS
        Amazon RDS gives you access to the capabilities of a familiar MySQL, Oracle or Microsoft SQL Server database engine. This means that the code, applications, and tools you already use today with your existing databases can be used with Amazon RDS. Amazon RDS automatically patches the database software and backs up your database, storing the backups for a user-defined retention period and enabling point-in-time recovery. You benefit from the flexibility of being able to scale the compute resources or storage capacity associated with your Database Instance (DB Instance) via a single API call.
        Amazon Aurora
        Amazon Aurora is a MySQL-compatible, relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora provides up to five times better performance than MySQL at a price point one tenth that of a commercial database while delivering similar performance and availability.
        See all alternatives