---
title: "Discussion on \"Real-Time Market Data Feed Processing with RisingWave\" | Hashnode"
description: "Discussion on \"Real-Time Market Data Feed Processing with RisingWave\". How trading firms and financial data platforms use streaming SQL to normalize, aggregate, and distribute market data feeds at scale."
url: "https://hashnode.com/posts/real-time-market-data-feed-processing/69d0380e6fa8277026c3f97e"
---

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# [Real-Time Market Data Feed Processing with RisingWave](https://risingwave.com/blog/real-time-market-data-feed-processing?utm_source=hashnode&utm_medium=feed)

How trading firms and financial data platforms use streaming SQL to normalize, aggregate, and distribute market data feeds at scale.

Apr 3 · 4 min read · risingwave.com  
Updated 4d ago  
Read the article

-   [#capital-markets](https://hashnode.com/tag/capital-markets)
-   [#market-data](https://hashnode.com/tag/market-data)
-   [#risingwave](https://hashnode.com/tag/risingwave)
-   [#streaming-sql](https://hashnode.com/tag/streaming-sql)
-   [#trading](https://hashnode.com/tag/trading)

## Written by

[RisingWave Labs](https://hashnode.com/@RisingWaveLabs)

@RisingWaveLabs · Bay Area, California

  
[View profile](https://hashnode.com/@RisingWaveLabs)

RisingWave is an open-source real-time event streaming platform.

RisingWave is a real-time event streaming platform designed to offer the simplest and most cost-effective way to process, analyze, and manage real-time event data — with built-in support for the Apache Iceberg™ open table format. It provides both a Postgres-compatible SQL interface and a DataFrame-style Python interface. RisingWave can ingest millions of events per second, continuously join and analyze live streams with historical data, serve ad-hoc queries at low latency, and manage data reliably in Apache Iceberg™ tables.

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