Google Cloud BigQuery 2026: Benefits, Features & Pricing

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Overview
Pricing and Plans
Features
Integrations
User Reviews

Overview

Google Cloud BigQuery

4.6

(35)

Pricing

Starting at $5.00 per month

About Google Cloud BigQuery

BigQuery is a serverless data warehouse designed that makes querying large datasets easy and fast by enabling massively parallel processing of terabytes of data in seconds. BigQuery is great for analytics workloads spanning multiple dimensions, including time-series data, nested data, and geographical data.

Google Cloud BigQuery Screenshots

Google Cloud BigQuery Pricing and Plans

Starting price: $5.00 per month

Free Trial

Free Version

Free

Pricing available upon request

Plan includes:

10 GB storage per month
1 TB queries per month

On Demand Pricing

$5.00

usage based, per month

No plan information available

Monthly Flat Rate

$2,000.00

flat rate, per month

No plan information available

Annual Flat Rate

$1,700.00

flat rate, per month

No plan information available

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Google Cloud BigQuery Features

Popular features found in Data Warehouse
Data Capture and Transfer
Data Connectors
Data Extraction
Data Integration
Data Migration
Data Quality Control
ETL - Extract Transfer Load
In-Database Processing
Multiple Data Sources
Reporting/Analytics
More features of Google Cloud BigQuery
Access Controls/Permissions
Ad hoc Analysis
Ad hoc Query
Ad hoc Reporting
AI/Machine Learning
Auto Extraction
Batch Processing
Charting
Collaboration Tools
Configurable Workflow
Configuration Management
Customizable Templates
Dashboard Creation
Data Aggregation and Publishing
Database Support
Data Classification
Data Cleansing
Data Clustering
Data Discovery
Data Import/Export
Data Management
Data Mining
Data Transformation
Data Visualization
Data Warehousing
Decision Support
Deep Learning
Demand Forecasting
Forecasting
For Education
For Healthcare
For Retail
High Volume Processing
In-Memory Processing
ML Algorithm Library
Modeling & Simulation
Model Training
Multi-Language
Parallel Processing
Predictive Analytics
Process/Workflow Automation
Real-Time Analytics
Real-Time Data
Real-Time Reporting
Role-Based Permissions
Self-service Analytics
Sentiment Analysis
Templates
Third-Party Integrations
Time Series Analysis
Trend Analysis
Workflow Management

Google Cloud BigQuery Integrations

Google Analytics 360

Looker

Google Ads

Google Data Studio

Google Cloud Compute Engine

Vertex AI

Google Cloud BigQuery User Reviews

Overall Rating

4.6

Ratings Breakdown

69%

26%

Secondary Ratings

Ease of Use

4.4

Value for money

4.2

Customer support

3.9

Functionality

4.7

Have you used Google Cloud BigQuery and would like to share your experience with others?

Chhaya S.

Verified reviewer

Food & Beverages

201-500 employees

Used weekly for less than 2 years

Review source

Reviewed September 2022

Get started with BigQuery, A powerful tool for analysing Big data

Ratings Breakdown

Ease of use

Customer support

Functionality

Pros:

Our salesforce campaigns relies heavily on data warehouse, which is the backbone of everything we do. This data set contains both row data sets and BigQuery is used to aggregate this sets by running schedule queries on it.

Cons:

This platform requires strong SQL skills. Huge dependency on tech team to fix queries sometime.

Bryan H.

Verified reviewer

Marketing and Advertising

11-50 employees

Used daily for more than 2 years

Review source

Reviewed September 2024

GBQ is an analysts best friend

GBQ powers a lot of our analysis tooling and reps use it directly with Python to make their own custom flows.

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

Literally everything. GBQ takes tasks like partitioning, building feeds from/to other systems simple, fine-grain access controls, plugs into Looker like a dream, built in connectors for other Google products (Search console, GA)

Cons:

The permission-ing for GBQ can sometimes be vague depending on what the user is needing/wanting to do. Some roles require items that you think would be included in higher access level roles (I'm looking at you BigQuery Job User role).

Erika G.

Verified reviewer

Information Technology and Services

51-200 employees

Used daily for less than 2 years

Review source

Reviewed January 2025

GBQ is a good Choice

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

Super fast! Can handle tons of data in seconds. No worries about it slowing down. Works well with other Google stuff

Cons:

Pricing is a bit confusing. Not easy to know how much it will cost. Interface could be better

Pranav K.

Verified reviewer

Automotive

11-50 employees

Used weekly for less than 2 years

Review source

Reviewed January 2025

My review for Google Cloud BigQuery

Overall Google Cloud BigQuery is very good for data analysis and getting actionable insights from the raw data.

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

The things I liked most about Google Cloud BigQuery are the robust data extraction and columnar data storing.

Cons:

The thing I dislike about Google Cloud BigQuery is the longer time taking to handle big data.

Verified

Reviewer

E-Learning

201-500 employees

Used daily for less than 2 years

Review source

Reviewed June 2022

Do you like Google Stack? It's good to go with BigQuery

An excellent option for keep a consistent tech stack, some limits (no problems) but fast and easy after you built you database and connections.

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

If you work with Google Stack in your company, using BigQuery makes sense. It's cloud, it's fast and it's easy to keep and update.

Cons:

It's not so easy as some other tools. But in the other hand, it's part of Google Stack and you have easy information to get in the net.

Reasons for choosing Google Cloud BigQuery

Stay with the Google Stack. Can use tools like Google Data Studio and other free Google Tools together.

Verified

Reviewer

Retail

51-200 employees

Used weekly for less than 2 years

Review source

Reviewed October 2023

Does the job but it's bare bones

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

It's cheap and very quick to process and query data directly.

Cons:

It's bare-bones database, so doesn't come with analytical features or any visualisation or easy to use interface when compared to other solutions.

Verified

Reviewer

Marketing and Advertising

51-200 employees

Used weekly for less than 12 months

Review source

Reviewed October 2022

Easy to integrte data from various data sources and visiualize in mulptiple dashboards

Easy to integrate with other tools and then aggregated data provide very detailed reports to analyze and also to share with clients for business decisions

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

Allow to import data in seconds from third party data sources, even there is an option to create multiple dashboards to visualize & analyses the data for marketing, sales purposes and so on depends on use cases.

Cons:

Cost is very high with big data queries and also UI can be more improved specifically navigation and dragging options

James Q C.

Verified reviewer

Marketing and Advertising

2-10 employees

Used monthly for less than 12 months

Review source

Reviewed July 2022

An ideal location to warehouse marketing data

My overall experience has been wonderful. It's easy to set up and use, and Google even has training for how to use it on Coursera at a pretty cheap price.

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

BQ was incredibly easy to set up and get going. As a beginner, the public data sets available also make practice very easy. There are a great many other softwires available in the Google Cloud that connect directly to BQ, so the whole system is set up to expand its usefulness without needing to buy more software.

Cons:

I haven't run into anything about this software that I haven't liked so far. I have nothing negative to report.

Artyom A.

Verified reviewer

Information Technology and Services

1001-5000 employees

Used weekly for less than 12 months

Review source

Reviewed May 2022

It can be used as your data warehouse

Google Cloud BigQuery is one of the main products of Google ecosystem that allows you to keep your data on Google cloud services. You can integrate it with other Google services such as Google Data Studio, which lets you to work with your data.

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

I use Google BigQuery as data warehouse. Processing speed of queries is extremely fast. I also can connect it with Google Data Studio and analyze my data there.

Cons:

It could be really expensive to use if you run queries frequently.

Verified

Reviewer

Marketing and Advertising

51-200 employees

Used monthly for less than 2 years

Review source

Reviewed June 2023

Data warehouse for Analysis