Project Antalya Quick Start Guide

Getting up to speed with Project Antalya

Project Antalya combines ClickHouse® and Apache Iceberg into real-time data lakes. In this tutorial, we’ll look at how to use its features.

At a high level, Project Antalya:

  • Provides swarm clusters, ephemeral, stateless clusters that scale up and down as needed, greatly improving query performance with a clear separation of storage and compute resources, and
  • Makes ClickHouse the query engine for data lakes that use Iceberg as the table format, store data as columns in Parquet, all hosted on inexpensive, S3-compatible block storage.

Concepts Overview

What Project Antalya brings to the table

Creating Swarm Clusters

Getting started with swarms

Querying Data with Swarms

Using swarms to speed up queries

Working with Data Lakes

Creating our own data lake and querying it