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### Description

In this instructor-led, hands-on workshop, you'll learn how to integrate Postgres and ClickHouse to build a high-performance, open-source data stack that supports real-time applications.

### Abstract

An increasing number of organizations are adopting a proven architectural pattern: using PostgreSQL for transactional workloads and ClickHouse for analytics. But what does it really take to make it work in your stack? Instead of relying on a single database to do everything, this approach combines two mature open-source systems, each optimized for its specific purpose. It's the foundation behind real-time data platforms at companies like GitLab, Cloudflare, Instacart and thousands of others. You'll learn how to deploy Postgres and ClickHouse in your environment, set up real-time replication using PeerDB, and use the pg_clickhouse extension to query ClickHouse directly from Postgres — enabling a unified query layer for your applications.

### Key Takeaways

  • •Understand the Postgres + ClickHouse architectural pattern and when to apply it
  • •Learn how to set up real-time CDC replication using open source PeerDB
  • •Master the pg_clickhouse extension for unified querying across both databases
  • •Get hands-on experience building an open-source real-time data stack
  • •Explore operational best practices for running Postgres and ClickHouse together

### Prerequisites

  • Basic understanding of data engineering concepts
  • Familiarity with SQL
  • Familiarity with Postgres internals (helpful but not required)

### Required Materials

  • Laptop with Docker Desktop or OrbStack installed
  • Postgres and ClickHouse installations (instructions provided ahead of the workshop)

Related topics

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Apache Spark
Big Data
Data Engineering
Data Pipelines
Data Management

Sponsors

Clickhouse

Clickhouse

Headline sponsor

Cloud Shuttle

Cloud Shuttle

Organising Sponsor

Snowflake

Snowflake

Gold sponsor

Easygo

Easygo

Gold sponsor

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