Google BigQuery Pricing in 2026

Usage-BasedStarts at $5.00/mo

Visit Google BigQuery

Free

$0forever
  • First 1 TB processed per month is free

Standard

$5/GB over 1 TB/mo
  • Pay $5 per GB for data exceeding 1 TB processed per month

Enterprise

$0.026/ hour (sustained usage) + $0.005/ hour (burst usage)/mo
  • Dedicated support and account management
  • Custom pricing for large-scale deployments

Pricing information was last verified on March 11, 2026. Pricing may have changed. Visit Google BigQuery for current pricing.

Pricing Overview

Google BigQuery's pricing model is usage-based, meaning that users are charged based on the amount of data processed by the service. The starting price for BigQuery is $5.00, with a free tier included for the first 1 TB (terabyte) of data processed per month.

Plan Comparison

FeatureFree TierPaid Tier
Data Processed1 TB/monthOver 1 TB/month
Pricing$0.00$5/GB

Note: The free tier is only applicable to the first 1 TB of data processed per month, and any additional data processed will be charged at a rate of $5 per GB.

Hidden Costs and Considerations

While the pricing page provides a clear breakdown of costs for data processing, there are some hidden costs and considerations that users should be aware of:

  • Data Transfer: In addition to the cost of processing data, users may also incur costs for transferring data into or out of BigQuery. The cost of data transfer is $0.12 per GB.
  • Storage: While BigQuery does not charge for storage, users may still incur costs for storing large amounts of data in Google Cloud Storage. The cost of storage varies depending on the region and type of storage used.
  • Query Performance: Users who require high-performance queries may need to use specialized hardware or software, which can add additional costs to their bill.

Cost Estimates by Team Size

To help users estimate their monthly costs, we have provided rough estimates for solo/small team/enterprise teams:

  • Solo User: 1 TB of data processed per month is sufficient for most individual users. Assuming an average usage rate of $5 per GB, a solo user can expect to pay around $0.00 (free tier) to varies per month.
  • Small Team (2-10 users): A small team may process 5-20 TB of data per month, depending on their specific use case. Assuming an average usage rate of $5 per GB, a small team can expect to pay around varies by usage per month.
  • Enterprise (11+ users): Large enterprises may process hundreds or thousands of terabytes of data per month. Assuming an average usage rate of $5 per GB, an enterprise can expect to pay tens of thousands of dollars per month.

How Google BigQuery Pricing Compares

BigQuery's pricing model is similar to that of other cloud-based data warehousing services, such as Amazon Redshift and Microsoft Azure Synapse Analytics. However, there are some key differences in pricing:

  • Amazon Redshift: Offers a free tier for the first 300 hours of usage per month, with varying pricing per hour.
  • Microsoft Azure Synapse Analytics: Offers a free tier for the first 10 TB of data processed per month, with varying pricing per GB.
  • Google BigQuery: Offers a free tier for the first 1 TB of data processed per month, with varying pricing per GB.

Note that these comparisons are based on publicly available pricing information and may not reflect the actual costs incurred by users.

Google BigQuery Pricing FAQ

What is the free tier availability for Google BigQuery?

The first 1 TB of data processed per month is free. This means you can process up to 1 TB of data without incurring any costs. Any data processed beyond this threshold will be charged at $5/GB.

How much does it cost for teams to use Google BigQuery?

The pricing model is usage-based, so you only pay for the amount of data you process. For example, if your team processes 2 TB of data in a month, you'll be charged $5/GB for the additional 1 TB (2 TB - 1 TB free tier).

Are there any discounts available for Google BigQuery?

Yes, Google offers discounts for long-term commitments and high-volume usage. You can also take advantage of cost savings by using BigQuery's reserved instances or on-demand pricing.

Are there any hidden costs I should be aware of when using Google BigQuery?

One potential hidden cost is the cost of data transfer out of the US. If you're processing large amounts of data, you may incur additional charges for data transfer fees.

What is Google's refund policy for Google BigQuery?

Google offers a 90-day money-back guarantee for new customers. If you're not satisfied with the service, you can request a full or partial refund within this time frame.

More Pricing Guides in Data Warehouse