Google BigQuery

byGoogle
in
4.5
Market Presence: Cloud Database Management SystemsData 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.

Overall experience with Google BigQuery

Staff Analytics Engineer
50M - 250M USD, Services (non-Government)
FAVORABLE

Robust Performance Noted Despite Difficulties in Cross-Region Data Integration Processes

4.0
Aug 21, 2025
A very robust tool that serves most of our use-cases, the only complaint being related to how some of our third-party vendors have technical difficulties sharing their data sources and projects with us with the intent to integrate them to our data lake/warehouse. We faced both issues with permissions and intra-region availability, delaying the process of making the datasets available to our users.
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
BigQuery is a powerful tool but support is inconsistent. They have caught up in the competitive marketplace dramatically in the last few years.

About Company

Company Description

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

Company type
Public
Year Founded
1998
Head office location
Mountain View, CA, United States
Annual Revenue
30B+ USD

Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

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

Top Google BigQuery Alternatives

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Peer Discussions

Google BigQuery Reviews and Ratings

4.5

(422 Ratings)

Rating Distribution

5 Star
55%
4 Star
43%
3 Star
2%
2 Star
0%
1 Star
0%
Why ratings and reviews count differ?

Customer Experience

Evaluation & Contracting

4.4

Integration & Deployment

4.6

Service & Support

4.3

Product Capabilities

4.6

Last 12 Months
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  • Staff Analytics Engineer
    50M-1B USD
    Services (non-Government)
    Review Source

    Robust Performance Noted Despite Difficulties in Cross-Region Data Integration Processes

    4.0
    Aug 21, 2025
    A very robust tool that serves most of our use-cases, the only complaint being related to how some of our third-party vendors have technical difficulties sharing their data sources and projects with us with the intent to integrate them to our data lake/warehouse. We faced both issues with permissions and intra-region availability, delaying the process of making the datasets available to our users.
  • SDE
    1B-10B USD
    Software
    Review Source

    Google Bigquery: A Scalable, Secure and Intelligent Analytics

    4.0
    Aug 21, 2025
    the UI is so user friendly and easily understandable. It is offering fully-managed and serverless data warehouse solution that has significantly streamlined our analytics workflows.Ale to run fast SQL queries without worrying about infrastructure management has been a major productivity booster
  • Engineer
    1B-10B USD
    Telecommunication
    Review Source

    Scalability and Ease Found in Data Tool, But Complex Queries Raise Costs Quickly

    5.0
    Aug 26, 2025
    Working with BQ has been really positive. I find it fast and easy to use and has scaled well as our demands have grown. We have been using it with Looker and the experience has been smooth. Performance tuning and cost control is why I like BQ. Features like materialized views and clustering made a big difference for us. I also find it easy to find errors in my SQL with BQ. Aesthetically, it's the best data tool to use for data engineers.
  • DATA ANALYTICAL ENGINEER
    1B-10B USD
    Travel and Hospitality
    Review Source

    Google BigQuery Offers Seamless Experience With Rapid Support and Timely Feature Releases

    4.0
    Aug 27, 2025
    Google BigQuery is exceptional. We use this enterprise wide, it is seamless, and has a good user experience. I am fascinated with the theme of Google. Sticking to white makes it so good. To cap it off, the support we get from the Google team is truly exceptional
  • Lead Architect
    10B+ USD
    Healthcare and Biotech
    Review Source

    BigQuery Enables Efficient Analytics

    5.0
    Aug 6, 2025
    Extremely positive as a fully managed serverless data warehouse, it allowed us to run complex analytical queries on large datasets with impressive speed and minimal infrastructure management
...
Showing Result 1-5 of 441

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