You can follow along with the instructions provided to easily test the functionalities of RisingWave using Python and the standalone version of RisingWave. All demos can be found within the awesome-stream-processing repository.

Try out the following runnable demos in these different industries:

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Capital markets

Market data enhancement and transformation

Transform raw market data in real-time to provide insights into market trends, asset health, and trade opportunities.

Market and trade surveillance

Detect suspicious patterns, compliance breaches, and anomalies from trading activities in real-time.

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E-commerce

Marketing campaign performance analysis

Analyze and optimize marketing campaign performance in real-time.

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Sports betting

Risk and profit analysis in sports betting

Manage your sports betting positions in real-time by using RisingWave to monitor exposure and risk.

User betting behavior analysis

Identify high-risk and high-value users by analyzing and identifying trends in user betting patterns.

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Logistics

Inventory management and demand forecast

Track inventory levels and forecast demand to prevent shortages and optimize restocking schedules.

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RAG system

Building a RAG system on RisingWave

Establish a RAG system with RisingWave that answers questions based on the documentation.