---
title: "Discussion on \"Credit Card Authorization Decisioning with Streaming SQL\" | Hashnode"
description: "Discussion on \"Credit Card Authorization Decisioning with Streaming SQL\". How issuers and processors use streaming SQL to enrich and score authorization requests in real time, reducing fraud and improving approval rates."
url: "https://hashnode.com/posts/credit-card-authorization-streaming-sql/69d0380e3b2eb2f00f46c410"
---

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Discussion

# [Credit Card Authorization Decisioning with Streaming SQL](https://risingwave.com/blog/credit-card-authorization-streaming-sql?utm_source=hashnode&utm_medium=feed)

How issuers and processors use streaming SQL to enrich and score authorization requests in real time, reducing fraud and improving approval rates.

Apr 3 · 5 min read · risingwave.com  
Updated 6d ago  
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-   [#authorization](https://hashnode.com/tag/authorization)
-   [#credit-card](https://hashnode.com/tag/credit-card)
-   [#fintech](https://hashnode.com/tag/fintech)
-   [#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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