---
title: "Discussion on \"Real-Time Payment Processing Analytics with Streaming SQL\" | Hashnode"
description: "Discussion on \"Real-Time Payment Processing Analytics with Streaming SQL\". How payment processors and banks use streaming SQL to monitor transaction flows, detect bottlenecks, and track settlement in real time."
url: "https://hashnode.com/posts/real-time-payment-processing-streaming-sql/69d0380e3b2eb2f00f46c40e"
---

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# [Real-Time Payment Processing Analytics with Streaming SQL](https://risingwave.com/blog/real-time-payment-processing-streaming-sql?utm_source=hashnode&utm_medium=feed)

How payment processors and banks use streaming SQL to monitor transaction flows, detect bottlenecks, and track settlement in real time.

Apr 3 · 5 min read · risingwave.com  
Updated 3d ago  
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-   [#analytics](https://hashnode.com/tag/analytics)
-   [#fintech](https://hashnode.com/tag/fintech)
-   [#payment-processing](https://hashnode.com/tag/payment-processing)
-   [#risingwave](https://hashnode.com/tag/risingwave)
-   [#streaming-sql](https://hashnode.com/tag/streaming-sql)

## 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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