# Build a real-time market data app with ClickHouse and Massive

DevFeed: [Build a real-time market data app with ClickHouse and Massive](<https://devfeed.tech/articles/build-a-real-time-market-data-app-with-clickhouse-and-massive-5000.md>)

Original publisher: [Read original article](<https://clickhouse.com/blog/build-a-real-time-market-data-app-with-clickhouse-and-polygonio>)

Author: Lionel Palacin

Published: 2026-09-04T00:00:00Z

Content type: tutorial

Language: en

Sources: [ClickHouse Blog](<https://devfeed.tech/sources/clickhouse-blog.md>)

Topics: [App](<https://devfeed.tech/topics/app.md>), [data](<https://devfeed.tech/topics/data.md>), [Node.js](<https://devfeed.tech/topics/node-js.md>), [Back end](<https://devfeed.tech/topics/backend.md>), [API keys](<https://devfeed.tech/topics/api-keys.md>)

Tags: [analytics](<https://devfeed.tech/tags/analytics.md>), [api](<https://devfeed.tech/tags/api.md>), [app](<https://devfeed.tech/tags/app.md>), [backend](<https://devfeed.tech/tags/backend.md>), [clickhouse](<https://devfeed.tech/tags/clickhouse.md>), [compression](<https://devfeed.tech/tags/compression.md>), [data](<https://devfeed.tech/tags/data.md>), [demo](<https://devfeed.tech/tags/demo.md>), [events](<https://devfeed.tech/tags/events.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [latency](<https://devfeed.tech/tags/latency.md>), [low-latency](<https://devfeed.tech/tags/low-latency.md>), [node](<https://devfeed.tech/tags/node.md>), [node-js](<https://devfeed.tech/tags/node-js.md>), [react](<https://devfeed.tech/tags/react.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [rest-api](<https://devfeed.tech/tags/rest-api.md>), [storage](<https://devfeed.tech/tags/storage.md>), [streams](<https://devfeed.tech/tags/streams.md>), [visualization](<https://devfeed.tech/tags/visualization.md>)

## AI overview

A tutorial for building a real-time market-data application that ingests, stores, and queries trade and quote ticks with Massive and ClickHouse, using Node.js for backend work and React for live visualization.

## Source excerpt

Learn how to build a real-time financial analytics application with Massive and ClickHouse that scales to thousands of events per second.