Case Study: Property Finder reduces database costs by 50% and boosts performance with ClickHouse on AWS

Property Finder Optimizes Database Performance, Reduces Costs by 50% with ClickHouse on AWS

Property Finder, a leading real estate classifieds platform in the MENA region, needed to improve analytics performance and reduce rising operating costs as its data and reporting systems became decentralized across regions. With millions of monthly visitors and 700,000 listings, the company wanted a single source of truth for its data and evaluated multiple technical partners before choosing ClickHouse Cloud on AWS.

ClickHouse implemented an open source, column-oriented analytics database on AWS, using services such as Amazon EC2, Amazon S3, AWS PrivateLink, AWS Glue, and integrations with Bedrock and SageMaker. The result was a 5x improvement in database performance, queries that were 96% faster, and operating costs cut by 50%, with some workloads running up to 500x faster after the migration.

Property Finder

Khaled Thabit

Director of Data Engineering