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BigQuery

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Introduction
Google Cloud's autonomous data-to-AI platform with Gemini-powered agents, SQL analytics, and generative AI functions for multimodal data.
Added on
10/23/2026
Pricing
Freemium
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PRODUCT OVERVIEW

What is BigQuery?

BigQuery is Google Cloud's autonomous data-to-AI platform that automates the data life cycle from ingestion to AI-driven insights. It combines a serverless data warehouse with built-in predictive analytics and AI inferencing, letting teams train and deploy models with SQL and apply generative AI functions for summarization, sentiment analysis, and data enrichment. Gemini-powered agents support conversational analytics, data engineering, and data science workflows, while vector and hybrid search enable retrieval-augmented generation. It serves data analysts, engineers, and scientists working with structured and unstructured data. Access includes a free tier of 10 GiB storage and up to 1 TiB queries monthly, plus $300 in credits for new customers.

BigQuery Features

Gemini in BigQuery for AI-powered conversational and agentic experiences

Built-in predictive analytics and AI inferencing using SQL

Generative AI functions for text summarization, sentiment analysis, and data enrichment

Vector, text, and hybrid search for retrieval-augmented generation

Data Engineering Agent for automating data preparation and pipeline building

Data Science Agent for data loading, feature engineering, and model training

Conversational Analytics Agent for natural-language questions

Apache Iceberg read/write interoperability with zero data movement

Real-time analytics with streaming data pipelines

Managed disaster recovery and observability

BigQuery Use Cases

  • Data science workflows with SQL, serverless Spark, and Colab Enterprise notebooks

  • Unstructured data analytics on images, PDFs, audio, and video

  • Data warehouse migration

  • Data integration and ELT

  • Real-time analytics

  • Geospatial analytics

BigQuery FAQs

BigQuery is Google Cloud's autonomous data-to-AI platform that automates the data life cycle from ingestion to AI-driven insights.

Yes, Gemini in BigQuery features are included in BigQuery pricing models, providing AI-powered assistance and automation.

Yes, you can store 10 GiB of data and run up to 1 TiB of queries for free per month. New customers also get $300 in free credits.

BigQuery pricing includes storage and compute charges, with flexible capacity options and compressed storage to optimize costs.

Yes, you can connect Google and partner AI models to multimodal data through simple SQL functions for tasks like summarization and sentiment analysis.

It allows anyone to ask complex questions in plain language and receive grounded, context-aware answers from their data.

Yes, BigQuery offers read/write interoperability for Apache Iceberg data across BigQuery, Managed Service for Apache Spark, and other OSS engines with zero data movement.

BigQuery supports real-time analytics with streaming data pipelines, including continuous queries and integration with Apache Kafka and Dataflow.

BigQuery Official Information

Company
Google Cloud
Website
https://cloud.google.com/bigquery
Documentation
https://cloud.google.com/bigquery/docs

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BigQuery Pricing

Freemium

Free tier includes 10 GiB storage and up to 1 TiB queries per month; new customers receive $300 in free credits. Paid usage is pay-as-you-go.

Free tier

$0USD / month

Monthly free allowance for storing data and running queries on BigQuery.

  • Store 10 GiB of data
  • Run up to 1 TiB of queries per month

Pay-as-you-go

USD

Usage-based pricing for storage and compute beyond the free tier, with flexible capacity options.

  • Decoupled storage and compute
  • Compute autoscaling
  • Compressed storage
  • Per-second billing with fluid scaling

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