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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.
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!
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;
what does your database look like? did you add auto-increment that could add a nubetr t ass
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
Pros of Amazon Aurora
- MySQL compatibility14
- Better performance12
- Easy read scalability10
- Speed9
- Low latency read replica7
- High IOPS cost2
- Good cost performance1
Pros of ClearDB
- Cloud SQL7
- Heroku6
- Fast4
- Great Backup3
- Easy to use3
- Scalability2
- Great Support1
- Geographic redundancy1
- Master / master replication1
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Cons of Amazon Aurora
- Vendor locking2
- Rigid schema1