Ursa: Augment Your Lakehouse With Kafka-Compatible Data Streaming Capabilities
Overview
Experience | In Person |
---|---|
Type | Breakout |
Track | Data Lakehouse Architecture and Implementation |
Industry | Enterprise Technology |
Technologies | Delta Lake, Apache Iceberg, Unity Catalog |
Skill Level | Beginner |
Duration | 40 min |
As data architectures evolve to meet the demands of real-time GenAI applications, organizations increasingly need systems that unify streaming and batch processing while maintaining compatibility with existing tools. The Ursa Engine offers a Kafka-API-compatible data streaming engine built on Lakehouse (Iceberg and Delta Lake). Designed to seamlessly integrate with data lakehouse architectures, Ursa extends your lakehouse capabilities by enabling streaming ingestion, transformation and processing — using a Kafka-compatible interface.
In this session, we will explore how Ursa Engine augments your existing lakehouses with Kafka-compatible capabilities.
Attendees will gain insights into Ursa Engine architecture and real-world use cases of Ursa Engine. Whether you're modernizing legacy systems or building cutting-edge AI-driven applications, discover how Ursa can help you unlock the full potential of your data.
Session Speakers
Sijie Guo
/Founder and CEO
StreamNative
Gaurav Saxena
/Director of Engineering
Automotive Industry