RisingWave home pagelight logodark logo
  • Blog
  • Sign up free
  • Sign up free
Guides
Apache Iceberg™
SQL/UDFs
Python SDK
Client Libraries
RisingWave Console
Changelog

Overview

Discover the wide range of real-world use cases where RisingWave delivers concrete value with the list of runnable demos.

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:

​
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.

​
E-commerce

Marketing campaign performance analysis

Analyze and optimize marketing campaign performance in real-time.

​
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.

​
Logistics

Inventory management and demand forecast

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

​
RAG system

Building a RAG system on RisingWave

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

Assistant
Responses are generated using AI and may contain mistakes.

Was this page helpful?

Suggest editsRaise issue
githubxlinkedinslackyoutube
Powered by Mintlify
  • Join Slack community
  • GitHub
  • Changelog
    • Release notes
    • Feature lifecycle and deprecation
    • Release & support policy

    Overview

    Discover the wide range of real-world use cases where RisingWave delivers concrete value with the list of runnable demos.

    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:

    ​
    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.

    ​
    E-commerce

    Marketing campaign performance analysis

    Analyze and optimize marketing campaign performance in real-time.

    ​
    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.

    ​
    Logistics

    Inventory management and demand forecast

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

    ​
    RAG system

    Building a RAG system on RisingWave

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

    Assistant
    Responses are generated using AI and may contain mistakes.

    Was this page helpful?

    Suggest editsRaise issue
    githubxlinkedinslackyoutube
    Powered by Mintlify