Question 1

Hazelcast vs Apache Kafka for real-time streaming

Accepted Answer

Hazelcast offers a unified platform with built-in storage and processing, while Kafka is primarily a distributed log. Hazelcast is better for low-latency queries and enrichment, but Kafka has a larger ecosystem for pure event streaming.

Question 2

How to deploy Hazelcast on Kubernetes

Accepted Answer

Use the official Docker images from Docker Hub and Helm charts provided in documentation; it supports cloud-native setups with rolling upgrades for zero-downtime operations in containerized environments.

Question 3

What clients does Hazelcast support for different languages

Accepted Answer

Hazelcast provides client libraries in Java, Python, Node.js, .NET, C++, and Go, enabling multi-language application integration as listed in the README's key features.

Question 4

Can Hazelcast be used only as a distributed cache

Accepted Answer

Yes, its key-value store supports caching patterns like read/write-through, but it's overkill if you don't need stream processing or SQL querying; lighter tools like Redis might suffice for caching alone.

Question 5

How to handle machine learning models with Hazelcast

Accepted Answer

Tight integration allows deploying Python ML models into data pipelines via the Jet engine, enabling real-time inference on streaming data before storage, as mentioned in the key features.

Question 6

What are the performance benchmarks for Hazelcast latency

Accepted Answer

Benchmarks show microsecond lookups and sub-10ms latency for 99.99% of streaming queries at millions of events per second, with details in linked blog posts about aggregation rates.

Hazelcast

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