great RDBMS that can scale up and replicate very well
December 14, 2018

great RDBMS that can scale up and replicate very well

Shiv Shivakumar | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with Amazon Aurora

I use Amazon Aurora as a relational database in the cloud in the aws eco-system mainly as a SQL data-store for transaction analytics. Find it really superior for its sheer faster performance as a relational data base - much faster than a traditional RDBMS data base and is much cheaper than some its competitors. It is offered as 'database as a service' and hence the worries of finding hardware to provision is not there and can get quickly started.

Pros

  • used as a supplement to mySQL database in the business for SQL
  • sheer power of performance is much faster
  • supports data growth/data storage and having replicas of databases very well

Cons

  • ability to read faster from the replicas in the event that there is a problem with Amazon Aurora - there is a latency involved and this can be reduced
  • supports only a particular version of mySQl 5.16.10 and hence does not work with older versions
  • good RDBMS at a much cheaper price than some of the older/bigger competitors
  • able to support large workloads
We evaluated Oracle against Amazon Aurora and when put to real test found that Aurora was much faster and at the same time was able to scale up well with data growth and was much cheaper than Oracle. It was also able to manage database crash much better than Oracle and also provided the ability of maintaining more than 1 replica when needed at a cheaper price.
It works very well with mySQL and can supplement it very nicely with much faster performance and its ability to scale up as well as replicate data across multiple clusters. In addition it is very well suited for large workloads of an enterprise that is looking to get up and running quickly on a managed RDBMS service without worrying about licenses/provisioning and the like.

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