Google

Google BigQuery

Composite Score

8.8 /10

CX Score

9.1 /10

79 Reviews Write a Review

Claim Software

What is Google BigQuery?

BigQuery is a fully managed, AI-ready data analytics platform that helps you maximize value from your data and is designed to be multi-engine, multi-format, and multi-cloud. Use BigQuery to manage all data types across clouds, structured and unstructured, with fine-grained access controls. BigQuery's serverless architecture lets you use SQL queries to analyze your data. You can store and analyze your data within BigQuery or use BigQuery to assess your data where it lives.

Company Details

Need Assistance?

We're here to help you with understanding our reports and the data inside to help you make decisions.

Get Assistance

Awards & Recognition

Google BigQuery won the following awards in the Analytical Data Store category

Filter By

2024 Emotional Footprint Champion

Latest Award, 2024

Service Experience
Contract Negotiation

Latest Award, 2024

2024 Data Quadrant Gold Medalist

2024

8 Top Rated Capabilities

4 Top Rated Features

2024

2023 Emotional Footprint Champion

2023

Service Experience
Contract Negotiation
Conflict Resolution

2023

2023 Data Quadrant Gold Medalist

2023

8 Top Rated Capabilities

6 Top Rated Features

2023

2022 Emotional Footprint Champion

2022

Strategy and Innovation
Service Experience
Product Impact
Contract Negotiation
Conflict Resolution

2022

2022 Data Quadrant Gold Medalist

2022

10 Top Rated Capabilities

5 Top Rated Features

2022

2021 Emotional Footprint Champion

2021

Google BigQuery Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on Google BigQuery.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

88 Likeliness to Recommend

1
Since last award

97 Plan to Renew

1
Since last award

90 Satisfaction of Cost Relative to Value

{y}

{name}

Emotional Footprint Overview

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+90 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love Google BigQuery?

3% Negative

3% Neutral

94% Positive

Pros

Respectful
Acts with Integrity
Caring
Security Protects

Feature Ratings

Average 85

Data Management

Data Integration

Real Time Capabilities

Distributed Processing

Analytics and Data Science Tools

Data Security

Metadata Management

Platform Administration

Analytics and Reporting

Workload Management and Monitoring

Data Visualization

Vendor Capability Ratings

Average 84

Business Value Created

Vendor Support

Ease of IT Administration

Usability and Intuitiveness

Ease of Data Integration

Ease of Implementation

Quality of Features

Breadth of Features

Availability and Quality of Training

Product Strategy and Rate of Improvement

Ease of Customization

Google BigQuery Reviews

Eyad B.

Role: Sales Marketing
Industry: Transportation
Involvement: Business Leader or Manager

Validated Review

Verified Reviewer

Submitted Feb 2024

Likeliness to Recommend

6 /10

Pros

Reliable
Enables Productivity
Unique Features
Effective Service

Vaishnavi K.

Role: Information Technology
Industry: Agriculture
Involvement: Vendor Management and Renewal

Validated Review

Verified Reviewer

Submitted Feb 2024

Fantastic product

Likeliness to Recommend

8 /10

What differentiates Google BigQuery from other similar products?

Fast processing and easy to use

What is your favorite aspect of this product?

Easy to use

What do you dislike most about this product?

Platform depends

What recommendations would you give to someone considering this product?

Must try and best exicution

Pros

Helps Innovate
Continually Improving Product
Effective Service
Inspires Innovation

Raghwendra S.

Role: Information Technology
Industry: Engineering
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Jan 2024

Fast data warehouse suitable for dashboards

Likeliness to Recommend

8 /10

What differentiates Google BigQuery from other similar products?

Google BigQuery provides many functionalities to detect query data scan and query execution time before execution , allowing you to set policies to prevent poorly written queries from getting executed. It is very east to setup and performant

What is your favorite aspect of this product?

The east of use with google bigquery is very high, it also allows to connect google sheet to google big query via Connected Sheets feature

What do you dislike most about this product?

the pricing is not very competitive, it has compute and storage cost , because of the storage cost component you are charged for data which is loaded in big query

What recommendations would you give to someone considering this product?

For any team working in google cloud , using google bigquery is a simple solution to setup a data warehouse which is performant when you have a smaller team and want to get results faster

Pros

Respectful
Helps Innovate
Continually Improving Product
Reliable

Google BigQuery

What is Google BigQuery?

Company Details

Need Assistance?

Awards & Recognition

2024 Emotional Footprint Champion

2024 Data Quadrant Gold Medalist

2023 Emotional Footprint Champion

2023 Data Quadrant Gold Medalist

2022 Emotional Footprint Champion

2022 Data Quadrant Gold Medalist

2021 Emotional Footprint Champion

Google BigQuery Ratings

88 Likeliness to Recommend

1 Since last award

97 Plan to Renew

1 Since last award

90 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+90 Net Emotional Footprint

How much do users love Google BigQuery?

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Data Management Includes data sharing, data storage, records management, and data security.

Data Integration Includes integration of data from multiple sources, merging systems, transforming data and capture data to form a unified view of a company's data assets

Real Time Capabilities Ability to analytics and visualize data as soon as it becomes available in underline systems.

Distributed Processing Data storage and processing is shared among many physical or virtual independents servers or sites for high volume data with seamless access to large datasets.

Analytics and Data Science Tools Includes Analytics and Data science components such as AI, statistical and machine learning libraries

Data Security Includes ability to hide sensitive data by masking with special characters or anonymous information.

Metadata Management Easily manage metadata associated with customer data or audience segments.

Platform Administration Includes back-end interface and administrative capabilities

Analytics and Reporting Includes historical & real-time dashboard visualizations, detailed & summary reporting and easy data extraction for data analysis.

Workload Management and Monitoring Includes task, performance, monitoring and time management

Data Visualization Thematic visualization with the ability to change views, including color, pattern/icon, dot-density, chart, scaled-symbol, and 3D prism themes

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Google BigQuery Reviews

Eyad B.

Likeliness to Recommend

Pros

Vaishnavi K.

Fantastic product

Likeliness to Recommend

Pros

Raghwendra S.

Fast data warehouse suitable for dashboards

Likeliness to Recommend

Pros

Most Popular Google BigQuery Comparisons

Amazon Redshift

Snowflake

Microsoft Azure Synapse Analytics

Cloudera Data Platform

SAP HANA Cloud

Oracle Exadata

1
Since last award

1
Since last award

Feature Ratings

Data Management

Data Integration

Real Time Capabilities

Distributed Processing

Analytics and Data Science Tools

Data Security

Metadata Management

Platform Administration

Analytics and Reporting

Workload Management and Monitoring

Data Visualization

Vendor Capability Ratings

Business Value Created

Vendor Support

Ease of IT Administration

Usability and Intuitiveness

Ease of Data Integration

Ease of Implementation

Quality of Features

Breadth of Features

Availability and Quality of Training

Product Strategy and Rate of Improvement

Ease of Customization