Lakehouses for Observability: The Path to Low-Cost, Scalable Telemetry Without Lock-in
Open table formats like Apache Iceberg and Delta Lake are transforming observability by enabling lakehouse architectures that combine object storage economics with database semantics. While promising schema evolution, efficient compression, and multi-engine access, challenges remain in partitioning strategies, metadata scaling, and Parquet's limitations for semi-structured data. Emerging innovations in file formats and engine integrations suggest a converging future where open storage and real-time analytics coexist.
