Apache Pulsar Demonstrates Best-in-Class Cloud Native Price Performance

Real-time data processing is becoming increasingly prevalent across various industries, enabling real-time decision making and analysis. Data streaming technologies such as Apache Kafka and Apache Pulsar are being used to capture, analyze, and react to live data feeds. In a recent performance test, Luna Streaming (based on Apache Pulsar) outperformed Kafka clusters in terms of average throughput across various workloads. Assuming linear growth of an enterprise's streaming data needs over three years, using Luna Streaming could result in 33% savings in infrastructure costs compared to Kafka. For projects with significant complexity but limited raw throughput requirements, the infrastructure savings can be as high as 75%.