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Very happy with Aurora, especially operationally.
October 18, 2019

Very happy with Aurora, especially operationally.

Anonymous | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Overall Satisfaction with Amazon Aurora

We use it as our primary data store for customer data. It allows us to handle our large traffic load during peak hours. We use a variable number of reader nodes depending on traffic.
  • Adding and removing reader nodes is seamless
  • Failover is fast
  • Low replication delay on reader nodes
  • Some quirks exist with corner case behaviors. e.g. we had some perf issues with GIN indexes.
  • A little slow to provide the latest Postgres versions. We'd love to use Postgres 12.
  • The endpoints are ok, but we end up implementing our own to better meet our use cases.
  • Best practices incur additional data transfer costs. I would expect those not to be charged.
  • We can handle our seasonal growth without any problems.
  • We have headroom to continue growing.
Aurora has the best performance and lowest operational overhead.
We've hit a number of known bugs and have to wait for a minor release to get them fixed. We've also hit some reproducible bugs and we're met with a lot of resistance from support as we shared them.

Do you think Amazon Aurora delivers good value for the price?

Yes

Are you happy with Amazon Aurora's feature set?

Yes

Did Amazon Aurora live up to sales and marketing promises?

Yes

Did implementation of Amazon Aurora go as expected?

Yes

Would you buy Amazon Aurora again?

Yes

Amazon Kinesis, Amazon Simple Queue Service (SQS), Amazon Elastic Compute Cloud (EC2)
Variable read load. Being able to autoscale your DB is amazing. Operationally, not worrying about failover is also amazing. Outside of Aurora/RDS, Postgres failover is always a big pain. Even on plain RDS, there's some concern with data loss in a failover.