Apache Kafka Without Compromise

How to Achieve 1M+ Record/Second Ingest without Sacrificing Query Latency

Apache Kafka’s popularity is not going away anytime soon. As our world moves towards being “always-on,” the ability to make decisions and predictions on streaming data in real-time has become mission-critical. Kafka has paved the way for organizations to capitalize on the power of streaming data, but it needs supporting technology to enable real-time analytics. Even Kafka power users struggle to achieve high throughput and low latency without sacrificing data freshness.