🗄️ Databases & Backend

[Preview] BigQuery-Iceberg Interop: 2x Speed Boost

BigQuery just cracked open the Iceberg lakehouse dream—full read-write harmony with Spark and Trino, no custom hacks needed. It's like giving your data a universal translator, supercharged by Google's storage wizardry.

BigQuery and Apache Iceberg logos integrating with Spark and Trino icons on a lakehouse diagram

⚡ Key Takeaways

  • Full read/write interoperability between BigQuery, Spark, Trino on Iceberg REST Catalog tables—no more engine silos. 𝕏
  • Auto table management and advanced runtime deliver ~40% and 2x performance boosts on TPC-DS benchmarks. 𝕏
  • Unified governance and real-time metadata make production lakehouses viable without custom hacks. 𝕏
Hiroshi Watanabe
Written by

Hiroshi Watanabe

Japanese software engineering reporter covering Mercari, Rakuten, SoftBank tech teams, and Japan's developer community.

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Originally reported by Google Cloud Blog

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