ClickHouse is gaining popularity as a bridge between data lakes and data warehouses, offering versatility and flexibility to users. It supports over 60 input and output formats, making it easy to integrate with external systems such as S3, GCS, Azure, PostgreSQL, MySQL, MongoDB, and more. Users can load data from their data lake into ClickHouse for real-time analytics or efficiently ingest data for high-performance analytics. ClickHouse is being used in various scenarios, including frequent queries to data lakes/lakehouses, ad-hoc and federated queries, and data loading from a data lake to ClickHouse. The database is improving its support for open table formats like Iceberg, Delta Lake, and Hudi, with plans to add features such as metadata caching, compactions, and external materialized views. In 2025, ClickHouse aims to enhance the user experience for ad-hoc and frequent queries on data lakes/lakehouses, improve its capabilities for working with data lakes/lakehouses, and introduce an Iceberg CDC Connector in ClickPipes for real-time analytics.