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  1. Home
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  3. Google BigQuery
Logo of Google BigQuery

Google BigQuery

byGoogle
in
4.5
Market Presence: Cloud Database Management Systems (Transitioning to Cloud Operational Database Management Systems), Data and Analytics Governance Platforms

Overview

Product Information on Google BigQuery

Updated 13th October 2025

What is Google BigQuery?

Google BigQuery is a cloud-based data warehouse software that enables users to store, analyze, and manage large datasets using SQL. The software supports fast querying and real-time analysis of structured and semi-structured data across scalable infrastructure. It integrates with various data analytics and business intelligence tools, offers built-in machine learning capabilities, and features automated performance optimization. BigQuery enables businesses to process and analyze large volumes of data to support decision making, data reporting, and predictive analytics. The software addresses challenges related to handling and processing extensive datasets within organizations without the need for traditional on-premises infrastructure.

Google BigQuery Pricing

Google BigQuery is a software that uses a pay-as-you-go pricing model based on data storage, streaming inserts, and the amount of data processed by queries. The software offers on-demand pricing where charges apply for each query run, and a flat-rate pricing option that allows purchasing dedicated resources. Storage charges apply separately for active and long-term data, and additional costs may be incurred for data streaming and data transfer.

Overall experience with Google BigQuery

Enterprise Architecture Lead
<50M USD, Services (non-Government)
FAVORABLE

“Incorporating Unrecognized Data Points Enhances Customer Journey and Campaigning”

4.0
May 12, 2026
This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions.
Senior Director of Data and Cloud
50M - 250M USD, Media
CRITICAL

“New Spend Control Features Improve BigQuery, But Support Issues Remain”

3.0
Aug 26, 2025
This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions.

About Company

Company Description

Updated 25th July 2024

Googlers is a company that creates products intended to create opportunities for an extensive audience, regardless of their location across the globe. The company values diverse perspectives, imaginations and non-conformity to predefined norms and impossibilities. The goal is to build products while incorporating uniqueness of each individual involved in this process, aiming to make their products accessible and useful to all.

Company Details

Updated 11th November 2024
Company type
Public
Year Founded
1998
Head office location
Mountain View, CA, United States
Annual Revenue
30B+ USD
Website
www.google.com

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Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

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Peer Discussions

Google BigQuery Reviews and Ratings

4.5

(441 Ratings)

Rating Distribution

5 Star
55%
4 Star
43%
3 Star
2%
2 Star
0%
1 Star
0%
Why ratings and reviews count differ?
  • Enterprise Architecture Lead
    <50M USD
    Services (non-Government)
    Review Source

    Incorporating Unrecognized Data Points Enhances Customer Journey and Campaigning

    4.0
    May 12, 2026
    Really valuable for customer journey analysis and allowing otherwise unrecognised data points to be incorporated into our customer journey, campaigning and marketing improvement strategy.
  • Enterprise Architecture Lead
    <50M USD
    Services (non-Government)
    Review Source

    Incorporating Unrecognized Data Points Enhances Customer Journey and Campaigning

    4.0
    May 12, 2026
    Really valuable for customer journey analysis and allowing otherwise unrecognised data points to be incorporated into our customer journey, campaigning and marketing improvement strategy.
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User Sentiment About Google BigQuery
Reviewer Insights for: Google BigQuery
Deciding Factors: Google BigQuery Vs. Market Average
Performance of Google BigQuery Across Market Features

Google BigQuery Likes & Dislikes

Like

It is fast (mostly real-time) and scalable, and integrates natively with Google Analytics - we can identify where people have interacted with us, separately from our in-house platforms, and draw threads back towards the point at which we succeeded in converting leads. It can be useful in assessing patterns, even when the data is anonymised.

Like

It is fast (mostly real-time) and scalable, and integrates natively with Google Analytics - we can identify where people have interacted with us, separately from our in-house platforms, and draw threads back towards the point at which we succeeded in converting leads. It can be useful in assessing patterns, even when the data is anonymised.

Like

It is fast (mostly real-time) and scalable, and integrates natively with Google Analytics - we can identify where people have interacted with us, separately from our in-house platforms, and draw threads back towards the point at which we succeeded in converting leads. It can be useful in assessing patterns, even when the data is anonymised.

Dislike

Working with google support is sometimes very frustruting

Dislike

Working with google support is sometimes very frustruting

Dislike

Working with google support is sometimes very frustruting