Would it be correct to say the these client libraries provide the functionality (eg ease of transactions, once only, recovery) whereas your cloud offering solves the scaling / performance issues you’d hit trying to do this with a regular pg compatible DB?
I do a lot of consulting on Kafka-related architectures and really like the concept of DBOS.
Customers tend to hit a wall of complexity when they want to actually use their streaming data (as distinct from simply piping it into a DWH).. being able to delegate a lot of that complexity to the lower layers is very appealing.
Would DBOS align with / complement these types of Kafka streaming pipelines or are you addressing a different need?
I do a lot of consulting on Kafka-related architectures and really like the concept of DBOS.
Customers tend to hit a wall of complexity when they want to actually use their streaming data (as distinct from simply piping it into a DWH).. being able to delegate a lot of that complexity to the lower layers is very appealing.
Would DBOS align with / complement these types of Kafka streaming pipelines or are you addressing a different need?