---
title: "Discussion on \"Multi-Tenant SaaS Real-Time Analytics Architecture with Streaming SQL\" | Hashnode"
description: "Discussion on \"Multi-Tenant SaaS Real-Time Analytics Architecture with Streaming SQL\". How to design in-app analytics dashboards for multi-tenant SaaS using per-tenant materialized views, tenant-scoped reads, and noisy-neighbor controls in RisingWave."
url: "https://hashnode.com/posts/saas-multi-tenant-streaming-analytics/6a10c97d02c892c4d51a7a30"
---

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# [Multi-Tenant SaaS Real-Time Analytics Architecture with Streaming SQL](https://risingwave.com/blog/saas-multi-tenant-streaming-analytics?utm_source=hashnode&utm_medium=feed)

How to design in-app analytics dashboards for multi-tenant SaaS using per-tenant materialized views, tenant-scoped reads, and noisy-neighbor controls in RisingWave.

May 22 · 11 min read · risingwave.com  
Updated 4d ago  
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-   [#multi-tenant](https://hashnode.com/tag/multi-tenant)
-   [#saas](https://hashnode.com/tag/saas)
-   [#streaming-sql](https://hashnode.com/tag/streaming-sql)
-   [#risingwave](https://hashnode.com/tag/risingwave)

## 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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