Amazon RDS for Aurora vs Amazon RDS: 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; Amazon RDS: Set up, operate, and scale a relational database in the cloud. 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 RDS for Aurora and Amazon RDS can be primarily classified as "SQL Database as a Service" tools.
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, Amazon RDS provides the following key features:
- Pre-configured Parameters
- Monitoring and Metrics
- Automatic Software Patching
"MySQL compatibility " is the top reason why over 11 developers like Amazon RDS for Aurora, while over 163 developers mention "Reliable failovers" as the leading cause for choosing Amazon RDS.
Airbnb, Netflix, and Coursera are some of the popular companies that use Amazon RDS, whereas Amazon RDS for Aurora is used by Medium, StackShare, and Zumba. Amazon RDS has a broader approval, being mentioned in 1435 company stacks & 526 developers stacks; compared to Amazon RDS for Aurora, which is listed in 121 company stacks and 31 developer stacks.
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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While we initially started off running our own Postgres cluster, we evaluated RDS and found it to be an excellent fit for us.
The failovers, manual scaling, replication, Postgres upgrades, and pretty much everything else has been super smooth and reliable.
We'll probably need something a little more complex in the future, but RDS performs admirably for now.
We are using RDS for managing PostgreSQL and legacy MSSQL databases.
Unfortunately while RDS works great for managing the PostgreSQL systems, MSSQL is very much a second class citizen and they don't offer very much capability. Infact, in order to upgrade instance storage for MSSQL we actually have to spin up a new cluster and migrate the data over.
Our PostgreSQL servers, where we keep the bulk of Wirkn data, are hosted on the fantastically easy and reliable AWS RDS platform.
We use Aurora for our OLTP database, it provides significant speed increases on top of MySQL without the need to manage it
RDS allows us to replicate the development databases locally as well as making it available to CircleCI.
Managed MySQL clustered database so I dont have to deal with the required infrastructure