Fully managed, serverless data warehouse and analytics platform on Google Cloud with AI/ML features (BigQuery ML, vector search, Gemini).
Google BigQuery is a fully managed, serverless data warehouse and analytics platform on Google Cloud. It originated from Google’s internal Dremel technology; it was announced in 2010 and became generally available in November 2011. It lets users analyze large datasets with standard SQL without managing infrastructure.
The platform integrates AI/ML capabilities: BigQuery ML lets you create, train, and run machine learning models directly in SQL; BigQuery DataFrames exposes a Python API (bigframes); Gemini in BigQuery brings generative AI features, and Vertex AI integration enables calling remote models. BigQuery provides native vector search (VECTOR_SEARCH, CREATE VECTOR INDEX) and embedding generation (ML.GENERATE_EMBEDDING), supporting RAG scenarios.
BigQuery also distributes public datasets, including Google DeepMind’s WeatherNext weather forecasts. Billing follows an on-demand model (charged per bytes scanned) or a capacity model (slots/editions: Standard, Enterprise, Enterprise Plus).
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