# Scaling ClickHouse® ingestion with multi-writer architecture

DevFeed: [Scaling ClickHouse® ingestion with multi-writer architecture](<https://devfeed.tech/articles/scaling-clickhouse-ingestion-with-multi-writer-architecture-18646.md>)

Original publisher: [Read original article](<https://www.tinybird.co/blog/scaling-real-time-ingestion-with-multiple-writers>)

Author: Jordi Orihuela

Published: 2025-06-27T10:00:00Z

Content type: tutorial

Language: en

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

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

Tags: [architectures](<https://devfeed.tech/tags/architectures.md>), [clickhouse](<https://devfeed.tech/tags/clickhouse.md>), [data](<https://devfeed.tech/tags/data.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [scalable-analytics-architecture](<https://devfeed.tech/tags/scalable-analytics-architecture.md>)

## AI overview

The article presents a multi-writer architecture for scaling real-time ClickHouse ingestion and claims that the design prevents data loss caused by conflicts between writers.

## Source excerpt

Scaling real-time ingestion with multiple writers creates conflicts most architectures can't handle. This design prevents data loss.