Towards Open Data - Part 1: Cloud Warehouses Now Love Open Formats
Blog post from Onehouse
Cloud data warehouses are increasingly supporting open table formats like Apache Iceberg, Hudi, and Delta Lake, marking a shift from their traditionally closed ecosystems. However, the current support for these formats is limited, inconsistent, and often lacks the true interoperability required for a genuinely open architecture. While data lakes have long embraced open storage formats and decoupled compute and storage to optimize resource management, cloud warehouses have historically favored a tightly integrated approach, which has led to challenges in scaling and vendor lock-in. The introduction of open table formats offers a path to addressing these issues by allowing modularity and flexibility, but the implementations across major platforms like Snowflake, Amazon Redshift, and Google BigQuery still fall short of offering the same capabilities as native tables, particularly in areas such as schema evolution, time travel, and performance optimizations. Despite the positive trend towards openness, cloud warehouses continue to rely on proprietary storage formats, which limits external interoperability and creates new forms of vendor lock-in. For open table formats to become truly beneficial, they must be implemented consistently across platforms and treated with the same importance as native tables, fostering an environment where multi-engine interoperability is a first-class concern.
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