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Cost-Efficient Stream Processing with RisingWave and ScyllaDB

17 minutes
Discover the latest trends and best practices impacting data-intensive applications. Register for access to all 30+ sessions available on demand.
Enter your email to watch this session from the ScyllaDB Summit 2024 livestream. You’ll also get access to all available recordings
https://docs.google.com/presentation/d/e/2PACX-1vQb3ryIFpgymKUTrTtCBLoFF5WFIUhtjPryxXJ2x3djpS4RXaEjbjh4WsifnPUuTRg0BpAQaD9MQ7Jt/embed?start=false&loop=false&delayms=3000

In This NoSQL Presentation

In today's fast-paced digital landscape, processing real-time data is no longer a luxury but a necessity. Companies are increasingly relying on stream processing systems to meet the demand for immediate insights and actions. In this talk, we explore how you can achieve cost-efficient stream processing using RisingWave and ScyllaDB. RisingWave, an open-source distributed streaming database, offers seamless integration with ScyllaDB to create a powerful and scalable stream processing platform. I will delve deep into the technical details, elaborating how RisingWave's decoupled compute-storage architecture handles streaming data at ease. After that, I will showcase how users can seamlessly route processed results to ScyllaDB for storage and low-latency serving. This dynamic process ensures that you always have access to the latest, most up-to-date results so as to make wise decisions in real time.

Yingjun Wu, Founder & CEO, RisingWave Labs

Yingjun Wu is the founder of RisingWave Labs (https://www.risingwave.com/), a database company developing RisingWave, a distributed SQL database for stream processing. Before running the company, Yingjun was a software engineer at the Redshift team, Amazon Web Services, and a researcher at the Database group, IBM Almaden Research Center. Yingjun received his PhD degree from National University of Singapore, and was a visiting PhD at Carnegie Mellon University. He has been working in the field of stream processing and database systems for over a decade.

ScyllaDB Summit 2024

What’s next for data-intensive applications

‹ Back to all sessions Learn more at ScyllaDB University ›

Cost-Efficient Stream Processing with RisingWave and ScyllaDB

17 minutes
Discover the latest trends and best practices impacting data-intensive applications. Register for access to all 30+ sessions available on demand.
Enter your email to watch this session from the ScyllaDB Summit 2024 livestream. You’ll also get access to all available recordings
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In This NoSQL Presentation

In today's fast-paced digital landscape, processing real-time data is no longer a luxury but a necessity. Companies are increasingly relying on stream processing systems to meet the demand for immediate insights and actions. In this talk, we explore how you can achieve cost-efficient stream processing using RisingWave and ScyllaDB. RisingWave, an open-source distributed streaming database, offers seamless integration with ScyllaDB to create a powerful and scalable stream processing platform. I will delve deep into the technical details, elaborating how RisingWave's decoupled compute-storage architecture handles streaming data at ease. After that, I will showcase how users can seamlessly route processed results to ScyllaDB for storage and low-latency serving. This dynamic process ensures that you always have access to the latest, most up-to-date results so as to make wise decisions in real time.

Yingjun Wu, Founder & CEO, RisingWave Labs

Yingjun Wu is the founder of RisingWave Labs (https://www.risingwave.com/), a database company developing RisingWave, a distributed SQL database for stream processing. Before running the company, Yingjun was a software engineer at the Redshift team, Amazon Web Services, and a researcher at the Database group, IBM Almaden Research Center. Yingjun received his PhD degree from National University of Singapore, and was a visiting PhD at Carnegie Mellon University. He has been working in the field of stream processing and database systems for over a decade.

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