---
title: "Discussion on \"Real-Time Clickstream Analytics: Track User Behavior as It Happens\" | Hashnode"
description: "Discussion on \"Real-Time Clickstream Analytics: Track User Behavior as It Happens\". Build a streaming clickstream pipeline with SQL to sessionize users, compute page view funnels, and detect drop-offs in real time."
url: "https://hashnode.com/posts/real-time-clickstream-analytics-streaming-sql-1/69ce17e563e328638e4c96e7"
---

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Discussion

# [Real-Time Clickstream Analytics: Track User Behavior as It Happens](https://risingwave.com/blog/real-time-clickstream-analytics-streaming-sql-1?utm_source=hashnode&utm_medium=feed)

Build a streaming clickstream pipeline with SQL to sessionize users, compute page view funnels, and detect drop-offs in real time.

Apr 2 · 12 min read · risingwave.com  
Updated 4d ago  
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-   [#clickstream-analytics](https://hashnode.com/tag/clickstream-analytics)
-   [#kafka](https://hashnode.com/tag/kafka)
-   [#real-time-analytics](https://hashnode.com/tag/real-time-analytics)
-   [#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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