● Covered by 1 source · 1 reportMedium impact1 positive
Google Cloud introduces serverless Lakehouse runtime catalog powered by Spanner
Key points
- Google Cloud launched a serverless Lakehouse runtime catalog.
- The catalog is powered by Spanner and follows Apache Iceberg REST specification.
- It provides atomic commits and high availability for lakehouse environments.
- Addresses scalability and concurrency challenges for data catalogs.
New Lakehouse Catalog from Google Cloud
Google Cloud has introduced a new serverless Lakehouse runtime catalog. This catalog is designed to support modern lakehouse architectures that utilize open formats like Apache Iceberg for shared data estates. The offering aims to provide a robust foundation for AI-native lakehouses.
Powered by Spanner
The new Lakehouse runtime catalog is built on Google Cloud's Spanner database. Spanner provides virtually unlimited scale and ensures the catalog is always-on. This infrastructure choice addresses the need for a highly scalable and available managed catalog, especially as querying scales with agents and requires numerous small queries.
Adherence to Apache Iceberg Specification
The catalog is built to meet the open Apache Iceberg REST catalog specification. This ensures compatibility and provides core functionalities such as maintaining table pointers, handling atomic commits, and serving as a single source of truth for table locations within an Apache Iceberg environment.
Addressing Key Challenges
The new catalog aims to solve critical pain points identified by data engineers and infrastructure leads. These include ensuring atomic commits and concurrency control through bulletproof compare-and-swap operations, providing high availability as a Tier-1 service, and scaling the underlying database to manage table metadata and state effectively.
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Reporting from
Google Cloud launched a serverless Lakehouse runtime catalog, built on Spanner, to address the need for a highly scalable and available managed catalog in lakehouse architectures. This new catalog adheres to the Apache Iceberg REST catalog specification, providing atomic commits and high availability for large-scale data operations.