Project Antalya
Combine ClickHouse® and Apache Iceberg into Real-Time Data Lakes
Project Antalya integrates open source ClickHouse and data lake tables to lower costs, simplify scaling, and reduce operational complexity in real-time analytic applications.
Get updates about Project Antalya:
Explosive Data Growth: The Key Challenge in Analytic Systems
Soaring Storage Costs
Block storage with replication is 10x more expensive than object storage

Inefficient Use of Compute
Overprovisioning to meet ingest and query in single processes wastes compute resources

Complex Operations
Large clusters of stateful servers scale slowly and are hard to manage

The Solution: Real-Time Data Lake AKA Project Antalya
Project Antalya extends open source ClickHouse to bring the power of real-time query to the low cost and outstanding scalability of Apache Iceberg-based data lakes.
Project Antalya doesn’t just address cost and scaling today. By integrating the best features of ClickHouse and Iceberg, we are delivering a new foundation for real-time analytic applications that will operate cost-efficiently for the next decade. Welcome to the real-time data lake!
100% open source and fully compatible with existing ClickHouse releases
Run anywhere: public clouds, Kubernetes, and bare metal—plus laptops and CI/CD pipelines
How to Get Started With Project Antalya
Project Antalya Builds are available now. Get the performance you want, at the price you can afford, anywhere you choose to run.
Check out our documentation, too!
The official source for documentation on Project Antalya features
Tutorials and sample code to run Project Antalya on Docker, Kubernetes, and Linux
Check out our recent YouTube webinar to see how Antalya works
Join Us Today
Project Antalya is more than just a new release—it’s a vision for scalable, real-time analytics based on ClickHouse and the best features of data lakehouses. We’re building a community of like-minded developers who want to change the future of analytic applications.
We welcome issues on Antalya releases as well as pull requests to make improvements. Contact us on Slack to find out more about how you can contribute to the most fun project we’ve ever worked on.