Should we use message queues for real-time analytics? It seems like a good fit.

Hey everyone, I'm thinking about setting up a real-time analytics pipeline. We're gonna have a ton of events coming in from user activity, and we need to process them fast for dashboards and alerts. I'm leaning towards using a message queue like Kafka or RabbitMQ as the central buffer. My main concern is whether this is overkill. Are there simpler ways to handle high-throughput event streams for analytics, or is a message queue the standard approach here? What are your experiences?