[smashedtoatoms]

I came here for the bad takes, and I have not been disappointed. Dynamo slays when you know your access patterns and need consistent performance and no operations requirements. Turns out, that's the case most of the time. Think about it as application state instead of a db. It's not key-value like Redis. GSIs with compound keys allow access to data across multiple dimensions on virtually unlimited data with consistent performance. Its weakness is querying data across dimensions you didn't plan on. If you need that regularly, it sucks. If you need that once in awhile, write a migration.

[davidjfelix]

Agreed. It's wild to me how many people think they need arbitrary queries on their transactional database and then go write a CRUD app with no transactional consistency between resources and everything is a projection from a user or org resource -- you can easily model that with Dynamo. You can offload arbitrary analytical queries or searches to a different database and stop conflating that need with your app's core data source.

[pdhborges]

Well my experience has always been the opposite. New query patterns are always appearing. The difference between an OLTP and an OLAP query is not as clear cut as one might imagine that justifies huge changes to an existing system.

[cldcntrl]

> Turns out, that's the case most of the time.

Here's most of the time out in the real world:

- Low-cardinality partition key leading to hot keys, trashing capacity utilization.

- Bad key design means access patterns are off the table forever, as nobody wants to take on data migration with BatchWriteItem.

- Read/write spikes causing throttling errors. The capacity concept is difficult - people don't understand how capacity relates to partitions and object sizes, or wrongly assume "On-Demand Capacity" means throttling is impossible, or that Provisioned Capacity Autoscaling is instant.

- Multiple GSIs to cover multiple access patterns = "why is our bill so high?".

I've seen these issues over and over again while working with real organizations.

Of course it's impressive technology, it's just so littered with traps that I've stopped recommending it except in very specific cases.