---
title: "How Fountain rebuilt its data plane on ClickHouse Cloud to power Cue, the Frontline Superintelligence"
description: "Fountain rebuilt its data plane on ClickHouse Cloud to power Cue, its agentic AI platform for frontline hiring, moving off a multi-vendor BigQuery and S3/Iceberg batch stack. The migration cut analytics latency from three hours to under two minutes, with most queries returning in under a second, at roughly 66% lower cost. Data from 13 Postgres production databases and four MongoDB databases streams into ClickHouse Cloud via ClickPipes managed CDC, landing as Iceberg and Parquet in S3 before reaching BigQuery and ClickHouse. The new architecture uses two symmetrical pipelines—one for Postgres, one for MongoDB—each running a short path: source, ClickPipes, materialized views, and Cue. The system now carries 8.48 billion CDC rows replicated continuously by ClickPipes and 10.3 billion analytics rows across 15 deployments, served by over 2,000 incremental materialized views."
---

# How Fountain rebuilt its data plane on ClickHouse Cloud to power Cue, the Frontline Superintelligence

[Clickhouse](https://yomu.fyi/company/clickhouse) · Sep 22, 2026

**Type:** Announcement

## Summary

Fountain rebuilt its data plane on ClickHouse Cloud to power Cue, its agentic AI platform for frontline hiring, moving off a multi-vendor BigQuery and S3/Iceberg batch stack. The migration cut analytics latency from three hours to under two minutes, with most queries returning in under a second, at roughly 66% lower cost. Data from 13 Postgres production databases and four MongoDB databases streams into ClickHouse Cloud via ClickPipes managed CDC, landing as Iceberg and Parquet in S3 before reaching BigQuery and ClickHouse. The new architecture uses two symmetrical pipelines—one for Postgres, one for MongoDB—each running a short path: source, ClickPipes, materialized views, and Cue. The system now carries 8.48 billion CDC rows replicated continuously by ClickPipes and 10.3 billion analytics rows across 15 deployments, served by over 2,000 incremental materialized views.

## Context

Fountain, a hiring platform for frontline hourly workers in retail, logistics, food service, healthcare, and hospitality, rebuilt its data plane on ClickHouse Cloud to power Cue, its agentic AI platform for frontline hiring. The migration moved off a multi-vendor BigQuery and S3/Iceberg batch stack, cutting analytics latency from three hours to under two minutes and reducing costs by roughly 66%.

## Takeaways

- ClickPipes managed CDC streams both Postgres and MongoDB directly into ClickHouse Cloud, eliminating the need for a third-party replication vendor.
- The new architecture uses one hop and no scheduler, replacing the old two-hop, four-bill setup with a single analytics platform.
- Adding a new MongoDB field is a one-line SQL change to the downstream ReplacingMergeTree, thanks to schema-on-read.

**Tags:** [CDC](https://yomu.fyi/topic/cdc), [ClickHouse](https://yomu.fyi/topic/clickhouse), [ClickPipes](https://yomu.fyi/topic/clickpipes), [Data Engineering](https://yomu.fyi/topic/data-engineering)

- Source: [Clickhouse](https://clickhouse.com/blog/fountain-agentic-ai-for-high-volume-hiring)
- Source URL: https://clickhouse.com/blog/fountain-agentic-ai-for-high-volume-hiring
- Ingested by Yomu: 2026-09-22T15:00:13.262Z

[Read original post](https://clickhouse.com/blog/fountain-agentic-ai-for-high-volume-hiring)