# How Polymarket scaled their data stack with Postgres and ClickHouse

DevFeed: [How Polymarket scaled their data stack with Postgres and ClickHouse](<https://devfeed.tech/articles/how-polymarket-scaled-their-data-stack-with-postgres-and-clickhouse-5292.md>)

Original publisher: [Read original article](<https://clickhouse.com/blog/how-polymarket-scales-data-with-postgres-and-clickhouse>)

Author: ClickHouse

Published: 2026-01-21T00:00:00Z

Content type: article

Language: en

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

Topics: [data](<https://devfeed.tech/topics/data.md>), [dashboards](<https://devfeed.tech/topics/dashboards.md>)

Tags: [analytics](<https://devfeed.tech/tags/analytics.md>), [apis](<https://devfeed.tech/tags/apis.md>), [clickhouse](<https://devfeed.tech/tags/clickhouse.md>), [dashboards](<https://devfeed.tech/tags/dashboards.md>), [data](<https://devfeed.tech/tags/data.md>), [database](<https://devfeed.tech/tags/database.md>), [postgresql](<https://devfeed.tech/tags/postgresql.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [scale](<https://devfeed.tech/tags/scale.md>)

## AI overview

Polymarket moved computationally expensive analytical workloads from PostgreSQL to ClickHouse to improve internal analytics and support real-time user-facing features while preserving transactional workloads in Postgres.

## Source excerpt

Polymarket migrated computationally expensive analytical workloads from PostgreSQL to ClickHouse to power real-time, user-facing features that scale with rapid growth