Amazon Aurora vs ClearDB

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Amazon Aurora

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676
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ClearDB

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Amazon RDS for Aurora vs ClearDB: What are the differences?

Amazon RDS for Aurora: MySQL and PostgreSQL compatible relational database with several times better performance. 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; ClearDB: Fault tolerant database-as-a-service in the cloud for your MySQL powered applications. 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.

Amazon RDS for Aurora and ClearDB belong to "SQL Database as a Service" category of the tech stack.

Some of the features offered by Amazon RDS for Aurora are:

  • High Throughput with Low Jitter
  • Push-button Compute Scaling
  • Storage Auto-scaling

On the other hand, ClearDB provides the following key features:

  • Global Multi-Master Design- ClearDB uses geo-distributed MySQL database configurations for the ultimate in database availability, survivability, and performance. Even if whole cloud regions go offline, your database will stay online.
  • Completely Fault Tolerant- ClearDB is the only cloud database in the market today that offers true multi-regional read/write mirroring with 100% uptime, even if networks or disks fail.
  • Native MySQL- Our clusters use native MySQL so that you don't have to worry about re-tuning your applications to work with ClearDB.

"MySQL compatibility " is the primary reason why developers consider Amazon RDS for Aurora over the competitors, whereas "Cloud SQL" was stated as the key factor in picking ClearDB.

Medium, StackShare, and Zumba are some of the popular companies that use Amazon RDS for Aurora, whereas ClearDB is used by Salesforce, Movielala, and Skype. Amazon RDS for Aurora has a broader approval, being mentioned in 121 company stacks & 31 developers stacks; compared to ClearDB, which is listed in 5 company stacks and 3 developer stacks.

Advice on Amazon Aurora and ClearDB

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 · 4.8K 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 · 8.2K 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 Aurora and ClearDB
Phillip Manwaring
Developer at Coach Align · | 5 upvotes · 18.6K 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 Aurora
Pros of ClearDB
  • 14
    MySQL compatibility
  • 12
    Better performance
  • 10
    Easy read scalability
  • 8
    Speed
  • 7
    Low latency read replica
  • 2
    High IOPS cost
  • 1
    Good cost performance
  • 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

Sign up to add or upvote prosMake informed product decisions

Cons of Amazon Aurora
Cons of ClearDB
  • 2
    Vendor locking
  • 1
    Rigid schema
    Be the first to leave a con

    Sign up to add or upvote consMake informed product decisions

    What is 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.

    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.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use Amazon Aurora?
    What companies use ClearDB?
    See which teams inside your own company are using Amazon Aurora or ClearDB.
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    Sign up to get full access to all the companiesMake informed product decisions

    What tools integrate with Amazon Aurora?
    What tools integrate with ClearDB?

    Sign up to get full access to all the tool integrationsMake informed product decisions

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    What are some alternatives to Amazon Aurora and ClearDB?
    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.
    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.
    Azure SQL Database
    It is the intelligent, scalable, cloud database service that provides the broadest SQL Server engine compatibility and up to a 212% return on investment. It is a database service that can quickly and efficiently scale to meet demand, is automatically highly available, and supports a variety of third party software.
    DigitalOcean Managed Databases
    Build apps and store data in minutes with easy access to one or more databases and sleep better knowing your data is backed up and optimized.
    Azure Database for MySQL
    Azure Database for MySQL provides a managed database service for app development and deployment that allows you to stand up a MySQL database in minutes and scale on the fly – on the cloud you trust most.
    See all alternatives