Real-Time Context on Demand: Query Your Streams with SQL

Kafka and Pulsar make it easy to capture and move real-time events, but querying those events, maintaining continuously updated results, and delivering them to applications often requires separate processing engines, connectors, and databases.

Join StreamNative and RisingWave for a joint webcast exploring SQL Workspace, now available in Private Preview in StreamNative Cloud and powered by the RisingWave SQL engine. Learn how humans, applications, and AI agents can use familiar SQL to query sources connected to Kafka and Pulsar topics, access persisted data and state in tables, and retrieve continuously updated results from materialized views. SQL Workspace can also use sinks to deliver processed data to downstream databases and external systems.

Experts from StreamNative and RisingWave will demonstrate how these capabilities unlock use cases such as operational dashboards, fraud detection, order and inventory tracking, customer-360 views, and fresh contextual data for AI agents. You'll also see how PostgreSQL-compatible clients, applications, and BI tools can access the same real-time data maintained in SQL Workspace.

During this session, we'll cover:

• How SQL Workspace lets you query Kafka and Pulsar topics directly with standard SQL, no separate processing engine required.
• Using sources, tables, and materialized views to persist state and keep results continuously updated.
• Delivering processed data to downstream databases and systems through sinks.
• Real-world use cases: operational dashboards, fraud detection, order and inventory tracking, and customer-360 views.
• How AI agents and PostgreSQL-compatible clients, applications, and BI tools can query the same real-time data.

Key Takeaways

• Query real-time Kafka and Pulsar streams using familiar SQL, no new processing engine to learn.
• Maintain continuously updated results with materialized views instead of building custom pipelines.
• Deliver fresh, contextual data to dashboards, applications, and AI agents via standard PostgreSQL-compatible access.