Google

Google BigQuery

8.8 /10

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What is Google BigQuery?

BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you have no infrastructure to manage and don't need a database administrator, use familiar SQL and can take advantage of pay-as-you-go model.

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Awards & Recognition

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

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2024 Data Quadrant Gold Medalist

Latest Award, 2024

8 Top Rated Capabilities

4 Top Rated Features

Latest Award, 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.

87 Likeliness to Recommend

96 Plan to Renew

90 Satisfaction of Cost Relative to Value

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Emotional Footprint Overview

+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?

1% Negative

4% Neutral

95% Positive

Pros

Respectful
Caring
Acts with Integrity
Enables Productivity

Feature Ratings

Average 85

Data Management

Data Integration

Real Time Capabilities

Distributed Processing

Metadata Management

Analytics and Data Science Tools

Platform Administration

Data Security

Workload Management and Monitoring

Analytics and Reporting

Data Visualization

Vendor Capability Ratings

Average 84

Vendor Support

Business Value Created

Ease of Implementation

Breadth of Features

Ease of IT Administration

Quality of Features

Ease of Data Integration

Usability and Intuitiveness

Availability and Quality of Training

Product Strategy and Rate of Improvement

Ease of Customization

Google BigQuery Reviews

Abhay S.

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

Validated Review

Verified Reviewer

Submitted Apr 2021

Easy to use via Cloud shell

Likeliness to Recommend

9 /10

What differentiates Google BigQuery from other similar products?

Very good for automation via cloud shell and inbuilt SSH capabilities

What is your favorite aspect of this product?

Cloud Shell feature Very good training programs

What do you dislike most about this product?

I can't think at this time

What recommendations would you give to someone considering this product?

If you are new in Cloud migration process, you can consider google first.

Pros

Helps Innovate
Continually Improving Product
Reliable
Enables Productivity

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

Validated Review

Anonymous Reviewer

Submitted Mar 2021

Analyze data at lightening speed

Likeliness to Recommend

9 /10

Pros

Trustworthy
Effective Service
Reliable
Performance Enhancing

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

Validated Review

Anonymous Reviewer

Submitted Mar 2021

Query performance is awesome

Likeliness to Recommend

9 /10

Pros

Effective Service
Performance Enhancing
Inspires Innovation
Saves Time

Google BigQuery

What is Google BigQuery?

Company Details

Need Assistance?

Awards & Recognition

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

87 Likeliness to Recommend

96 Plan to Renew

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.

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

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

Platform Administration Includes back-end interface and administrative capabilities

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

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

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

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

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.

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.

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.

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.

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

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.

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

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.

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

Abhay S.

Easy to use via Cloud shell

Likeliness to Recommend

Pros

Analyze data at lightening speed

Likeliness to Recommend

Pros

Query performance is awesome

Likeliness to Recommend

Pros

Most Popular Google BigQuery Comparisons

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Snowflake

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Cloudera Data Platform

SAP HANA Cloud

Base SAS

Feature Ratings

Data Management

Data Integration

Real Time Capabilities

Distributed Processing

Metadata Management

Analytics and Data Science Tools

Platform Administration

Data Security

Workload Management and Monitoring

Analytics and Reporting

Data Visualization

Vendor Capability Ratings

Vendor Support

Business Value Created

Ease of Implementation

Breadth of Features

Ease of IT Administration

Quality of Features

Ease of Data Integration

Usability and Intuitiveness

Availability and Quality of Training

Product Strategy and Rate of Improvement

Ease of Customization