Is this Amazon's response for Kafka?
https://news.ycombinator.com/item?id=24658132
That, or they both had convergent evolution and came to the same set of requirements, maybe from some big user at the same moment contacting both of them a year ago, which actually feels really likely to me (more likely than them responding to anything).
I want to say Kafka can do significantly higher messages per second on a single partition (and significantly higher than that on a many-partition topic). I don't think it can compete for a lot of use cases as a result. If I were in the market for managed Kafka, I think I would just go straight to Confluent.
this is hard yo
$ python3
>>> import boto3
>>> sns=boto3.client('sns')
>>> sns.create_topic(Name='DopeService')
>>> sns.subscribe(TopicArn='arn:aws:sns:us-east-1:xxxxxxxxxxxx:DopeService',Protocol='sms',Endpoint='+18008675309')
>>> ...<repeat for other SMS #'s>...
>>> sns.publish(TopicArn='arn:aws:sns:us-east-1:xxxxxxxxxxxx:DopeService',Message='sup')
If you're a masochist you can have Amazon notify everyone on the topic every time someone uploads to your bucket >>> sns.set_topic_attributes(TopicArn='arn:aws:sns:us-east-1:xxxxxxxxxxxx:DopeService',AttributeName='Policy',AttributeValue='<policy>')
>>> s3.put_bucket_notification_configuration(Bucket='dopebucket',NotificationConfiguration={<notification config>})
You send directly to HTTP/HTTPS service endpoints, other SNS topics, Lambdas, SQS queues and mobile app push notifications. SNS is more about signaling than a raw message pipe. Relative to Kafka it's basically apples and oranges.