# How we processed 12 trillion rows during Black Friday

DevFeed: [How we processed 12 trillion rows during Black Friday](<https://devfeed.tech/articles/how-we-processed-12-trillion-rows-during-black-friday-18530.md>)

Original publisher: [Read original article](<https://www.tinybird.co/blog/how-we-setup-real-time-analytics-service-to-process-12-trillion-rows-during-black-friday>)

Author: Javi Santana

Published: 2020-12-21T00:00:00Z

Content type: article

Language: en

Sources: [Tinybird](<https://devfeed.tech/sources/tinybird.md>)

Topics: [clickhouse](<https://devfeed.tech/topics/clickhouse.md>), [data-architecture](<https://devfeed.tech/topics/data-architecture.md>), [real-time](<https://devfeed.tech/topics/real-time.md>)

Tags: [analytics](<https://devfeed.tech/tags/analytics.md>), [architecture](<https://devfeed.tech/tags/architecture.md>), [clickhouse](<https://devfeed.tech/tags/clickhouse.md>), [data-architecture](<https://devfeed.tech/tags/data-architecture.md>), [engineering-excellence](<https://devfeed.tech/tags/engineering-excellence.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [scale](<https://devfeed.tech/tags/scale.md>)

## AI overview

This post explains the data architecture and infrastructure used to scale a real-time analytics service with ClickHouse during Black Friday, processing 12 trillion rows.

## Source excerpt

In this post we explain the data architecture, infrastructure and how we scale our real-time analytics service with ClickHouse®.