Use Cases - RisingWave: Streaming Database Built on Open Standards

Monitoring and Alerting

Continuously monitor real-time event streams to detect anomalies or breaches within sub-seconds, and trigger instant alerts to any notification service.

Continuous Analytics

Extract real-time insights from event streams and handle millions of concurrent queries with single-digit millisecond latency. Securely store historical data in low-cost tiered storage.

Real-time ETL

Develop scalable real-time data pipelines using SQL. Seamlessly ingest data from numerous sources, leveraging efficient multi-way joins, automatic schema evolution, and out-of-order processing capabilities.

Feature Engineering

Transform real-time events into AI features. Store, serve, and share features within a unified system, and inspect historical versions of the features at any previous time point.

Financial Services

For enabling real-time risk analysis, fraud detection, and trade monitoring for financial institutions.

Energy

For monitoring of energy grids, optimizing resource allocation, and detecting anomalies.

Manufacturing

For real-time monitoring of production lines, predictive maintenance, and supply chain optimization.

Sports Betting

For monitoring player behavior, detecting cheating or anomalies, and enabling real-time leaderboards and matchmaking.

Logistics

For tracking vehicle movements, optimizing routes, and monitoring shipment conditions in real-time.

Ad & Marketing Tech

For analyzing real-time user engagement, personalizing content recommendations, and enabling live streaming analytics.

E-commerce

For analyzing real-time customer behavior, personalizing recommendations, and detecting fraudulent activities.

Healthcare

For monitoring patient vitals, analyzing real-time healthcare data for early diagnosis, and enabling telemedicine applications.