Is BigQuery free or paid?

BigQuery offers both free and paid plans. The free tier provides basic features, while paid plans unlock advanced capabilities.

Does BigQuery require coding?

BigQuery offers both no-code solutions and API access for developers. You can use it without coding, or integrate it programmatically if you have technical skills.

What platforms does BigQuery support?

BigQuery is primarily a web-based tool. It also provides API access for developers who want to integrate it into their applications.

How does BigQuery compare to alternatives?

BigQuery stands out with its high user ratings. It offers a free tier, making it accessible to users on a budget. The API integration capabilities make it ideal for developers. For detailed comparisons, check out our alternatives page.

BigQuery

Name: BigQuery
Brand: Google Cloud
Rating: 4.6 (32456 reviews)

4.6

(32456 reviews)

From Data to AI to Action Faster

BigQuery is an autonomous data and AI platform that automates the entire data life cycle, enabling users to transition from data to AI-driven insights quickly. It supports analytics on multimodal data and offers flexible, low-cost machine learning capabilities.

Database & StorageRelational DatabasesBigQueryAI platformdata lifecycle

Overview

BigQuery is the autonomous data and AI platform from Google Cloud, designed to automate the entire data life cycle, enabling users to transition from data to AI to actionable insights more rapidly. It is recognized as a leader in the 2025 Gartner Magic Quadrant for Cloud DBMS. The platform supports analytics on multimodal data and offers low-cost machine learning (ML) capabilities with interoperability with open source tools.

Key features of BigQuery include the ability to store 10 GiB of data and run up to 1 TiB of queries for free each month, along with $300 in free credits for new customers. Users can connect their data to AI, train and evaluate ML models directly within BigQuery using SQL commands, and integrate models with Vertex AI Model Registry for advanced MLOps. Additionally, BigQuery simplifies workflows with agents and supports sophisticated context retrieval for advanced search applications.

BigQuery is targeted at organizations looking for a comprehensive solution for data analytics and AI integration. Its main benefits include up to 54% lower total cost of ownership (TCO) compared to cloud-based alternatives, making it an attractive option for businesses aiming to leverage data for strategic decision-making.

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Pricing Plans

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Pricing Model: pay-per-use - varies

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Pros (8)

BigQuery automates the entire data life cycle from ingestion to AI-driven insights.
Offers up to 54% lower TCO versus cloud-based alternatives.
Allows training, evaluating, and running ML models directly within BigQuery using familiar SQL commands.
Easily integrates models with Vertex AI Model Registry for advanced MLOps.
Includes generative AI functions for tasks like text summarization and sentiment analysis without requiring specialized tools.
Unified data and AI platform for analytics on multimodal data.
Flexible with low-cost ML and interoperability with open source.
New customers get $300 in free credits to try BigQuery and other Google Cloud products.