DynamoDB is a lot more explicit about its tradeoffs. Much of the backlash against Mongo was because it basically claimed to be well-suited to any use case, when its sweet spot was really far narrower. To be successful with Mongo, you need to design the entire app around its limitations, but those limitations were initially downplayed and obscured.
People were convinced that Mongo was a good choice as a default, general purpose db, when it clearly wasn’t for about a million reasons.
I don’t think DynamoDB is marketed or viewed in the same way. The docs are pretty clear about needing to design your data model to specifically work well with Dynamo. People using it seem to generally be aware of its limitations, and deliberately choose to accept them for the sake of performance and scalability. At least that’s my perception.
People were convinced that Mongo was a good choice as a default, general purpose db, when it clearly wasn’t for about a million reasons.
I don’t think DynamoDB is marketed or viewed in the same way. The docs are pretty clear about needing to design your data model to specifically work well with Dynamo. People using it seem to generally be aware of its limitations, and deliberately choose to accept them for the sake of performance and scalability. At least that’s my perception.