Alternatives to Kafka

This page delves into the key constraints encountered when integrating with Waterstream with systems different from Kafka but that implement the Kafka Api like RedPanda and Azure Event Hub. Understanding these limitations is essential for architects and developers designing robust and scalable data streaming solutions.

Azure Event Hub

• Data Compression: Azure Event Hub lack of data compression can significantly increase storage and network costs, especially for high-volume data streams. This limitation can impact overall solution cost and performance.

• Topic Limits (Standard Tier): The Azure Event Hub Standard tier’s restriction of 10 topics per namespace can limit the flexibility to organize and manage data streams. This can be problematic for scenarios requiring fine-grained topic-based partitioning.

• Consumer Group Limits (Standard Tier): The 20 consumer group limit per topic in the Standard tier can hinder scalability. Fewer consumer groups can limit parallel processing, affecting throughput and latency.