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Apache Kafka review
Rotem Fogel
R&D Director at a tech vendor with 201-500 employees
Transforms data with efficient real-time analytics and has robust streaming...
Kafka requires fine-tuning to find the best architecture, number of nodes, and partitions for your use case. It’s a trial-and-error process with no one-size-fits-all solution. Issues may arise until it’s appropriately tuned. While it can scale out efficiently, scaling down is more challenging, making deleting data or reducing activity harder.
Red Hat AMQ review
Sther Martins
Java Developer at SCCON
An easy-to-learn solution that can be used with microservices
We have done around 20 projects in Red Hat AMQ. I have two projects using Red Hat AMQ, and I can share how its scalability has impacted them. In one project, we have a solution for authentication and authorization using SSO. We need to integrate with other systems in two ways. We use Red Hat AMQ for social data, sending messages to other...
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