Ecosystem

2:00 PM - 2:30 PM, CEST , May 23

Building Cost-Effective Stream Processing Applications with RisingWave and Apache Pulsar

In today's fast-paced world, organizations need to process and analyze data in real-time to make better decisions. Stream processing is an essential part of this process, but it can be expensive and challenging to scale. This is where RisingWave, a distributed SQL streaming database, and Apache Pulsar, a leading distributed pub-sub messaging system, can help. In this talk, we will discuss how to build cost-effective and scalable stream processing applications with RisingWave and Apache Pulsar. We will showcase how RisingWave's decoupled compute-storage architecture and Pulsar's tiered storage can help you reduce infrastructure and operational costs. We will also demonstrate how to build real-time analytics and insights for use cases such as fraud detection and anomaly detection. Our discussion will focus on practical strategies for achieving scalability and cost savings, drawing on real-world examples and our experience in the field. This talk is perfect for anyone seeking an affordable and scalable solution for stream processing. We look forward to sharing our insights and discussing how you can leverage the benefits of RisingWave and Apache Pulsar in your own projects. Discover how to do more with less by building cost-effective stream processing applications with RisingWave and Apache Pulsar.

Speaker

Yingjun Wu

Founder and CEO, RisingWave