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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

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

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.