BigQuery is designed to help you unify your data, connect it to AI and automate common data tasks, freeing up valuable time for exploration, model building, and strategic analysis, all with leading price-performance.
Use Gemini-powered agents to automate manual tasks or build your own custom agents
Drive AI-powered innovation with intelligent search and all-new agentic experiences, enriched with semantic layer for accuracy. BigQuery provides built-in assistive agents for all data users to streamline workflows across every stage of the data and AI lifecycle, freeing up your time to focus on solving bigger data challenges and opportunities.
“We stood up our data platform in Google Cloud and ingested all critical insurance data in ten months, which is about half of the time that people see in the industry. The technology that BigQuery provides, processing large amounts of data very quickly, is giving our practitioners and engineers tools that are advanced and a platform that has AI and ML built in. We have doubled the number of users [in a very short period of time].”
Tatjana Lalkovic, Chief Technology Officer, Definity
Bring multiple engines to a single copy of governed, secured data
BigQuery brings multiple engines, including SQL, Spark and Python, together in a single platform that can run on a single copy of multimodal, governed data. A universal catalog and metastore for shared runtime metadata provides unified security and governance controls across all engines and storage types, including support for Apache Iceberg.
“BigQuery and Gemini platform bring all our data and AI together into a single platform. This has transformed how we take action on customer feedback from a lengthy manual process, to a simple natural language query in seconds, allowing us to get to customer insights in minutes instead of months.”
TJ Allard, Lead Data Scientist at Mattel
Ensure your data and AI platform remains flexible, scalable, and adaptable to the ever-changing technological landscape
With Google's borderless Lakehouse, BigQuery's openness empowers organizations with flexibility and scalability. Google Cloud's commitment to open source, open standards, and AI lets you choose best-fit solutions. Leverage OSS engines like Apache Spark, open formats like Apache Iceberg, and your choice of AI models.
“We are building our unified data and AI foundation using Google Cloud's lakehouse stack, where BigQuery and Lakehouse for Apache Iceberg enable us to securely discover and manage all data types and formats in a single platform to build the best possible experiences for our patients, doctors, and nurses.”
Mangesh Patil, Chief Analytics Officer, HCA Healthcare
Connect all of your data to industry-leading AI
BigQuery simplifies data analytics by providing an integrated experience for data and AI. Use Google’s latest AI models to perform multimodal data analysis and more. BigQuery has the simplicity and scale to manage multimodal data with your choice of engines (SQL, Python, or Spark) at the best price and performance with data governance and security built-in.
“With the new imported model capability with object table, we are able to import state-of-the-art Pytorch vision models to process image data and improve in-orchard temperature prediction using BigQuery. And with the new remote model capability, we can greatly simplify our pipelines and improve maintainability.”
Sarah Overduin, Data Scientists, Semios
