The future of data lakehouse is open and agentic
Welcome to the agentic era. To power AI agents, you need a multimodal, cloud-agnostic foundation. Google Cloud’s next-gen lakehouse combines managed Iceberg, cross-cloud interoperability, optimized Apache Spark, and real-time AI context—giving you open-source freedom and enterprise power without compromise.
Your lakehouse is the ultimate engine for agentic AI. Google combines open formats, enterprise-grade analytics, context for agents and accelerated Spark performance to streamline analytics and AI development—turning raw data into autonomous action.
Google Cloud Lakehouse for Apache Iceberg (formerly BigLake)
Get the openness of Apache Iceberg with enterprise-grade storage management
Google Cloud Lakehouse delivers managed Apache Iceberg with true read/write interoperability across BigQuery and Spark. Unify structured and unstructured data, automate governance, and get the price-performance and scale of BigQuery with flexible storage to accelerate agentic workloads.
“Partnering with Google Cloud has been instrumental in our journey to build Snap's next-generation, open lakehouse and democratize Spark and Iceberg in our developer community!”
Zhengyi Liu, Senior Manager, Software Engineer, Snap
Google Cloud Managed Service for Apache Spark (formerly Dataproc)
Supercharge Spark workloads with agentic data science experiences
Transform your lakehouse with Google Cloud Managed Service for Apache Spark. Get zero ops overhead with serverless or managed cluster deployments and 4.5x faster workloads with the Lightning Engine. Let Antigravity's agentic AI autonomously author, debug, and optimize your entire Spark and SQL lifecycle.
“We see SQL and Spark as two complementary ways of accessing and transforming data. Spark is especially useful to us in use cases that require complex business logic, which although niche, are extremely business-critical. Having a unified platform for SQL, Spark, and AI, with the development experience in notebooks will considerably simplify these critical use cases.”
Andrés Sopeña Pérez, Head of Content Engineering, Trivago
Knowledge Catalog (formerly Dataplex)
Simplify data discovery, understanding and trust for your data lakehouse and your agents
Knowledge Catalog is the AI-driven universal context for your lakehouse. It auto-catalogs all Google Cloud and third-party data, eliminating manual curation to deliver the grounded enterprise truth and data relationships essential for reliable agentic AI.
“By unifying our enterprise metadata and business context through Knowledge Catalog, Bloomberg Media successfully launched the Data Access AI Agent Platform. This solution empowers stakeholders across the enterprise to intuitively explore our data lake, translating complex business inquiries into instant, AI-driven narratives. Crucially, by grounding our AI in trusted, institutional context, we ensure confidence in the accuracy and quality of every insight generated.”
-William Anderson, CTO, Bloomberg Media
AlloyDB and Spanner
Power agent agents in real-time across operational and analytical data
You can now access live data from Iceberg and BigQuery from the PostgreSQL data plane using AlloyDB. Discover and search for any BigQuery or Lakehouse for Apache Iceberg table directly from the AlloyDB Studio UI and begin querying immediately, with pushdown to BigQuery for filters and aggregations. This allows live joins between AlloyDB's transactional data and historical insights in BigQuery or Iceberg without any data movement.
An open, cross-cloud Iceberg experience with enterprise scale
Google Cloud Lakehouse for Apache Iceberg (formerly BigLake)
Get the openness of Apache Iceberg with enterprise-grade storage management
Google Cloud Lakehouse delivers managed Apache Iceberg with true read/write interoperability across BigQuery and Spark. Unify structured and unstructured data, automate governance, and get the price-performance and scale of BigQuery with flexible storage to accelerate agentic workloads.
“Partnering with Google Cloud has been instrumental in our journey to build Snap's next-generation, open lakehouse and democratize Spark and Iceberg in our developer community!”
Zhengyi Liu, Senior Manager, Software Engineer, Snap
Frictionless data science experience with industry-leading Spark performance
Google Cloud Managed Service for Apache Spark (formerly Dataproc)
Supercharge Spark workloads with agentic data science experiences
Transform your lakehouse with Google Cloud Managed Service for Apache Spark. Get zero ops overhead with serverless or managed cluster deployments and 4.5x faster workloads with the Lightning Engine. Let Antigravity's agentic AI autonomously author, debug, and optimize your entire Spark and SQL lifecycle.
“We see SQL and Spark as two complementary ways of accessing and transforming data. Spark is especially useful to us in use cases that require complex business logic, which although niche, are extremely business-critical. Having a unified platform for SQL, Spark, and AI, with the development experience in notebooks will considerably simplify these critical use cases.”
Andrés Sopeña Pérez, Head of Content Engineering, Trivago
Open lakehouse governance with always on context for your agents
Knowledge Catalog (formerly Dataplex)
Simplify data discovery, understanding and trust for your data lakehouse and your agents
Knowledge Catalog is the AI-driven universal context for your lakehouse. It auto-catalogs all Google Cloud and third-party data, eliminating manual curation to deliver the grounded enterprise truth and data relationships essential for reliable agentic AI.
“By unifying our enterprise metadata and business context through Knowledge Catalog, Bloomberg Media successfully launched the Data Access AI Agent Platform. This solution empowers stakeholders across the enterprise to intuitively explore our data lake, translating complex business inquiries into instant, AI-driven narratives. Crucially, by grounding our AI in trusted, institutional context, we ensure confidence in the accuracy and quality of every insight generated.”
-William Anderson, CTO, Bloomberg Media
Combine analytical and operational data for real-time, agentic applications
AlloyDB and Spanner
Power agent agents in real-time across operational and analytical data
You can now access live data from Iceberg and BigQuery from the PostgreSQL data plane using AlloyDB. Discover and search for any BigQuery or Lakehouse for Apache Iceberg table directly from the AlloyDB Studio UI and begin querying immediately, with pushdown to BigQuery for filters and aggregations. This allows live joins between AlloyDB's transactional data and historical insights in BigQuery or Iceberg without any data movement.
Learn how leading enterprises build their lakehouse with Google Cloud
Migrating your lakehouse to Google Cloud
Executive resources
The Total Economic Impact of building a lakehouse on Google CloudDownload the report10-min read
Google Cloud can deliver 18-60% lower TCO over alternative cloud-based Apache Spark solutionsDownload the report10-min read
A comprehensive guide that provides a 5-step framework for building a solid data foundation for AI successGet the guide10-min read
