The latest ClickHouse release, version 25.8, introduces a host of improvements, including 45 new features, 47 performance optimizations, and 119 bug fixes, significantly enhancing its functionality and efficiency. A key highlight is the introduction of a faster native Parquet reader, which improves parallel processing and I/O efficiency, nearly doubling query speeds for Parquet files. Additionally, the update supports Hive-style partitioning, improves Data Lake functionalities with enhanced Iceberg and Delta Lake support, and offers initial PromQL integration for time-series queries. The Arrow Flight integration further broadens ClickHouse's compatibility with columnar data ecosystems, allowing efficient data exchange. Security features for S3 storage have been enhanced, and latency issues with Azure Blob Storage have been mitigated through the implementation of an aggressive retry logic, similar to the solutions applied to AWS and GCP. The release also welcomes a new cohort of contributors, reflecting the growing and supportive ClickHouse community.