---
title: "Discussion on \"Getting Started: RisingWave to Apache Iceberg in 10 Minutes\" | Hashnode"
description: "Discussion on \"Getting Started: RisingWave to Apache Iceberg in 10 Minutes\". A step-by-step tutorial to connect RisingWave to Apache Iceberg, create your first streaming sink, and query results using open lakehouse tools"
url: "https://hashnode.com/posts/getting-started-risingwave-apache-iceberg/69d039413b2eb2f00f46c43a"
---

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# [Getting Started: RisingWave to Apache Iceberg in 10 Minutes](https://risingwave.com/blog/getting-started-risingwave-apache-iceberg?utm_source=hashnode&utm_medium=feed)

A step-by-step tutorial to connect RisingWave to Apache Iceberg, create your first streaming sink, and query results using open lakehouse tools

Apr 3 · 5 min read · risingwave.com  
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-   [#apache-iceberg](https://hashnode.com/tag/apache-iceberg)
-   [#data-engineering](https://hashnode.com/tag/data-engineering)
-   [#getting-started](https://hashnode.com/tag/getting-started)
-   [#risingwave](https://hashnode.com/tag/risingwave)
-   [#tutorial](https://hashnode.com/tag/tutorial)

## 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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