Confluent, Amazon MSK, & Apache Kafka
Former Director, Engineering at Confluent
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Former Director, Engineering at Confluent
The executive has 20 years engineering experience and is a Former Director of Engineering at Confluent, responsible for running Confluent Cloud.
Interview Transcript
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This gets into the other part of the discussion, which is the monetization of the open source. I don't want to call it a silver bullet in terms of monetizing the open source but do you feel like that's a step change for Confluent in accessing that open-source base?
You have a larger pie that you can sell into of the existing open-source Kafka users, especially the organizations that are like, wow, it's actually pretty hard to run Kafka; many places have teams dedicated to that. Maybe they want to free up those engineers to work on something else. I think that’s pretty compelling, and the ease of getting going with Confluent Cloud is the thing that will drive growth there.
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Could you compare Confluent Cloud to Kinesis? I'd love to hear your thoughts on it.
Kinesis is more in that SaaS model. You turn it on in the AWS console. You point your client or your API, here's your code at their API, and you fire messages, and it works. The difference, of course, is that if you're doing a lot of volume, Kinesis is egregiously expensive. Kinesis makes a ton of sense at a smaller scale and is definitely compelling. That is the comparison. Kinesis is closer to Confluent Cloud than, I think, MSK is in some sense. Of course, you want to compare MSK because they're both Kafka.
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