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.
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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
97 Plan to Renew
87 Satisfaction of Cost Relative to Value
2
Since last award
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.
+92 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?
Pros
- Respectful
- Acts with Integrity
- Enables Productivity
- Security Protects
How to read the Emotional Footprint
The Net Emotional Footprint measures high-level user sentiment towards particular product offerings. It aggregates emotional response ratings for various dimensions of the vendor-client relationship and product effectiveness, creating a powerful indicator of overall user feeling toward the vendor and product.
While purchasing decisions shouldn't be based on emotion, it's valuable to know what kind of emotional response the vendor you're considering elicits from their users.
Footprint
Negative
Neutral
Positive
Feature Ratings
Data Integration
Data Management
Distributed Processing
Data Security
Analytics and Data Science Tools
Real Time Capabilities
Analytics and Reporting
Platform Administration
Metadata Management
Workload Management and Monitoring
Data Visualization
Vendor Capability Ratings
Business Value Created
Ease of Implementation
Usability and Intuitiveness
Quality of Features
Ease of Data Integration
Breadth of Features
Product Strategy and Rate of Improvement
Vendor Support
Ease of IT Administration
Availability and Quality of Training
Ease of Customization
Google BigQuery Reviews
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Mar 2021
Analyze data at lightening speed
Likeliness to Recommend
Pros
- Trustworthy
- Effective Service
- Reliable
- Performance Enhancing
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Mar 2021
Query performance is awesome
Likeliness to Recommend
Pros
- Effective Service
- Performance Enhancing
- Inspires Innovation
- Saves Time
Beranice G.
- Role: Consultant
- Industry: Technology
- Involvement: End User of Application
Submitted Dec 2020
Effective Google Package.
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
The capability on Big Data manipulations.
What is your favorite aspect of this product?
Getting used with the Google product even to the beginners is very simple.
What do you dislike most about this product?
Nothing at all to underline.
What recommendations would you give to someone considering this product?
I love the performance and the effective capabilities given to the user to easily deal with the complex data.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
