ClickHouse, an analytics database, has been used with new tools such as ClickHouse Local and chDB to analyze data in a more efficient manner. The author of the article uses these tools to query GitHub metrics alongside PyPi package download data from ClickHouse Cloud, achieving a hybrid query execution that combines local and remote data sources. This allows for faster performance and more accurate results compared to traditional querying methods. The example showcases how to join data from ClickHouse Cloud with ClickHouse Local using remoteSecure table functions, enabling users to explore new use cases for this analytics database.