Four Different Ways of Working with Kafka on Azure

Life doesn't happen in batch mode, which is why for several years now, we see a very strong tendency towards stream processing throughout various industries. Companies need, or least partially have to rethink their existing data architectures in order to enable near real-time business cases. Besides traditional database systems and batch-driven tooling, many companies put Apache Kafka® - the de facto standard for robust and scalable event streaming - to good use.
This talk explores the following four different ways to run Kafka on Azure:
Kafka on HDInsight (open-source core Kafka)
EventHubs (Microsoft's very own "Kafka look-alike")
Confluent Cloud (a vendor-backed Kafka distribution)
Kafka in Azure Kubernetes Service
You will walk away with a better understanding about the most important benefits, drawbacks and implications for each of the discussed alternatives.
Hans-Peter Grahsl, SW Engineer, Technical Trainer, Consultant & Associate Lecturer
Global Azure Austria 2021
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[@MrLenzi1983]

1 - Kafka with Azure HDInsight
2 - Azure Event Hub
3 - Confluent Cloud for Azure
4 - Kafka on kubernetes

[@tiago629]

Great presentation. Thank you for your time.

[@ADAMSIVES]

tops vid mate

[@andriicherepovskyi1565]

It is really helpful

[@shruths1551]

Any use case where I can use heroku kafka to drop events in event hub ? do we have any kafka connect connectors ?

[@zycbrasil2618]

Don't forget Bitnami Kafka on Azure kubernetes clusters. Best cost benefits

[@MrLenzi1983]

opa top ein!

[@ash3rr]

Source? Can you give me a concrete example versus the other options.