Amazon RDS vs ClearDB vs Google Cloud SQL

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Amazon RDS

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ClearDB

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Google Cloud SQL

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Advice on Amazon RDS, ClearDB, and Google Cloud SQL

Hi, I'm a beginner at using MySQL, I currently deployed my crud app on Heroku using the ClearDB add-on. I didn't see that coming, but the increased value of the primary key instead of being 1 is set to 10, and I cannot find a way to change it. Now I`m considering switching and deploying the full app and MySql to DigitalOcean any advice on that? Will I get the same issue? Thanks in advance!

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Replies (2)
Andy Gee
Freelance Developer at DGTEpro · | 2 upvotes · 5.4K views
Recommends

If a database tables has had some records added to it, and those records are then deleted the Auto Increment value is not automatically reset to avoid accidentally referencing an incorrect row. (e.g. maybe another reference to that row ID exists somewhere). If that's not a problem you can manually reset it with

ALTER TABLE tablename AUTOINCREMENT = 0;

Alternatively, if you were to TRUNCATE the table (DELETE ALL RECORDS), this would also reset the AUTO INCREMENT value: TRUNCATE TABLE table_name;

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austin heisley-cook
backend specialist and develop at msyekf · | 1 upvotes · 8.8K views

what does your database look like? did you add auto-increment that could add a nubetr t ass

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Decisions about Amazon RDS, ClearDB, and Google Cloud SQL
Phillip Manwaring
Developer at Coach Align · | 5 upvotes · 26.3K views

Using on-demand read/write capacity while we scale our userbase - means that we're well within the free-tier on AWS while we scale the business and evaluate traffic patterns.

Using single-table design, which is dead simple using Jeremy Daly's dynamodb-toolbox library

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Pros of Amazon RDS
Pros of ClearDB
Pros of Google Cloud SQL
  • 165
    Reliable failovers
  • 156
    Automated backups
  • 130
    Backed by amazon
  • 92
    Db snapshots
  • 87
    Multi-availability
  • 30
    Control iops, fast restore to point of time
  • 28
    Security
  • 24
    Elastic
  • 20
    Push-button scaling
  • 20
    Automatic software patching
  • 4
    Replication
  • 3
    Reliable
  • 2
    Isolation
  • 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
  • 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 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.

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 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 Amazon RDS?
What companies use ClearDB?
What companies use Google Cloud SQL?

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What tools integrate with Amazon RDS?
What tools integrate with ClearDB?
What tools integrate with Google Cloud SQL?

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What are some alternatives to Amazon RDS, ClearDB, and Google Cloud SQL?
Amazon Redshift
It is optimized for data sets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.
Apache Aurora
Apache Aurora is a service scheduler that runs on top of Mesos, enabling you to run long-running services that take advantage of Mesos' scalability, fault-tolerance, and resource isolation.
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.
Oracle
Oracle Database is an RDBMS. An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism is called an object-relational database management system (ORDBMS). Oracle Database has extended the relational model to an object-relational model, making it possible to store complex business models in a relational database.
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.
See all alternatives