BigQuery

Name: BigQuery
Brand: BigQuery
Price: 0.04 USD
Rating: 4.5 (1258 reviews)

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Google's serverless data warehouse for analytics

Paid plans only, free trial

Paid Data & Databases Analytics Cloud & Infrastructure

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4.5 (1,258 across the web)

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Reviews on G2 Capterra

1,258 reviews tracked 17 press mentions

The Bottom Line

Updated Jul 20, 2026

Price: Paid plans only, free trial. Compare plans

Key facts

BigQuery is Google's serverless data warehouse for analyzing petabytes of data with SQL
It offers blazing fast queries with automatic scaling and built-in ML capabilities
First 10GB storage and 1TB queries/month free, then pay-per-query pricing

Pros

Best serverless data warehouse
Petabyte scale
SQL interface
ML built-in
Pay per query

Cons

Query costs can surprise
Slot management complex
Streaming inserts expensive
Learning curve
Some SQL limitations

What is BigQuery?

Editorial review

BigQuery is Google's serverless data warehouse. Load data, write SQL, and get results fast regardless of whether you're querying gigabytes or petabytes. No infrastructure to manage, no clusters to tune. Pricing scales with usage-pay for queries and storage, not idle capacity. Built-in machine learning lets you train models with SQL. Streaming ingestion handles real-time data. Data teams choose BigQuery when they want analytics power without database administration. It's the warehouse that just works.

Available on: Web

Louis Corneloup Updated Jul 20, 2026 · how we evaluate Source cloud.google.com ↗

Ratings Across the Web

4.5 (1,258 reviews)

BigQuery holds an aggregate rating of 4.5 out of 5 from 1,258 reviews across G2 and Capterra, last checked September 17, 2026.

Ratings aggregated from independent review platforms. Learn more

Key Features

Data warehouse
Serverless
ML built-in
Geospatial
Real-time analytics
Google Cloud

Pricing Plans

Free Trial

Pricing checked Oct 1, 2026

BigQuery plans and prices, checked October 2026
Plan	Price	Details
Free Tier	Custom	Usage-based pricing 10 GiB storage/month 1 TiB queries/month All core features +1 more Show less No credit card
On-Demand Popular	$6.25/per TB	Pay-as-you-go First 1 TB free 2,000 concurrent slots Standard support +1 more Show less No commitment
Editions	$0.04/per slot-hour	Capacity pricing Predictable costs Reserved capacity Up to 3-year discounts +1 more Show less Enterprise features

Calculate your cost View full pricing

Is BigQuery worth the price?

Good value

BigQuery's on-demand pricing ($6.25/TiB queried) with 1 TiB free per month is one of the most generous free tiers in cloud data warehousing.

For small-to-medium analytics workloads, you can genuinely run BigQuery for free or near-free. The Editions model (Standard/Enterprise/Enterprise Plus) with slot-based pricing offers predictability for teams running consistent workloads.

Storage is cheap ($0.02/GB active, $0.01/GB long-term). The biggest cost trap: streaming inserts at $0.05/GB and queries scanning more data than expected because of schema design.

Hidden Costs & Gotchas

Always use column-level selects and partitioned tables to minimize bytes scanned. A poorly written dashboard refreshing hourly can cost hundreds per day

Streaming inserts cost $0.05/GB, separate from query costs. Use batch loading (free) when real-time is not required

Storage costs are per-GB

active storage at $0.02/GB-month, long-term at $0.01/GB. Auto-discount to long-term after 90 days of no modification helps, but partitioned tables that get daily updates never qualify

Slot auto-scaling can spike costs

Enterprise auto-scaling allocates additional slots on demand at the standard hourly rate.

BI Engine (in-memory acceleration) costs $0.04/GB-hour for reserved capacity.

Data transfer egress

querying BigQuery from outside GCP (e.g., Looker Studio on another cloud) incurs standard GCP egress fees ($0.08-0.12/GB). Cross-region queries within GCP also have transfer costs

Minimum 10MB billed per table referenced

a query touching 50 small tables is billed for at least 500MB even if actual data scanned is 1MB

Flat-rate (Edition) pricing requires commitment slots that are billed 24/7 whether used or not. Size commitments carefully

Full BigQuery pricing: every plan, hidden costs and alternatives

Reviews

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4.5/5

Across 1,258 verified user reviews on G2, Capterra

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Best BigQuery Alternatives

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Still deciding?

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BigQuery FAQ

How does BigQuery support real-time data analysis?

BigQuery supports real-time data analysis through its streaming ingestion capabilities. This allows users to load data continuously and query it immediately, making it suitable for up-to-the-minute insights.

Which teams benefit most from using BigQuery?

Data teams that require powerful analytics without the overhead of database administration find BigQuery most beneficial. It allows them to focus on data analysis and model training using SQL rather than infrastructure management.

How is BigQuery priced?

BigQuery is a paid product where pricing scales with usage. Users pay for the queries executed and the storage consumed, rather than for idle capacity or fixed infrastructure.

What kind of machine learning capabilities does BigQuery offer?

BigQuery includes built-in machine learning features, enabling users to train models directly using SQL. This integrates data processing and model development within a single environment.

Can BigQuery handle extremely large datasets?

Yes, BigQuery is designed to handle extremely large datasets, offering petabyte-scale capabilities. It allows users to query vast amounts of data quickly, from gigabytes to petabytes, without performance degradation.

How does BigQuery compare to Snowflake regarding infrastructure management?

BigQuery, like Snowflake, operates as a serverless data warehouse, meaning users do not need to manage any underlying infrastructure or tune clusters. Both platforms aim to simplify operations by abstracting away server management.

What are the primary considerations regarding BigQuery's cost management?

A primary consideration for BigQuery's cost management is that query costs can sometimes be unexpected, and managing slots can be complex. Additionally, streaming inserts, while powerful, can be expensive.

Source: cloud.google.com

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