Braze ClickHouse Priority Case

Braze — Ads Analytics Pipeline Rebuild

Braze replaced a dual MongoDB + Snowflake pipeline with ClickHouse Cloud, achieving 8x performance improvement while handling 1B+ events per hour.

Architecture diagram: Braze — Ads Analytics Pipeline Rebuild

Scale

3.9 trillion messages and Canvas actions in 2024; over 1 billion events per hour ingested

Before

Dual pipeline — MongoDB for campaign analytics + Snowflake for raw event storage. Two systems, high operational overhead.

After

Replaced both with ClickHouse Cloud — 8x performance gain, dramatically reduced operational overhead

Key Insight

Snowflake was the incumbent — and Braze migrated away from it for real-time analytics. This is the honest tradeoff: Snowflake is excellent for batch/historical; ClickHouse wins for sub-second interactive analytics on mutable event data.

In a Snowflake Conversation

When a Snowflake prospect asks about real-time campaign analytics, this is the honest tradeoff story. Snowflake is excellent for batch/historical; ClickHouse wins for sub-second interactive analytics on mutable event data.

My Read

Practitioner commentary coming soon.

ClickHouse Snowflake migration real-time campaign analytics ClickHouse Cloud

Relevant Conversations

Streaming OLAP Why Not Snowflake