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.
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88 Likeliness to Recommend
1
Since last award
96 Plan to Renew
90 Satisfaction of Cost Relative to Value
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?
Pros
- Respectful
- Acts with Integrity
- Caring
- 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 Management
Data Integration
Distributed Processing
Real Time Capabilities
Analytics and Data Science Tools
Metadata Management
Data Security
Platform Administration
Analytics and Reporting
Workload Management and Monitoring
Data Visualization
Vendor Capability Ratings
Business Value Created
Vendor Support
Ease of IT Administration
Ease of Implementation
Usability and Intuitiveness
Quality of Features
Ease of Data Integration
Breadth of Features
Availability and Quality of Training
Product Strategy and Rate of Improvement
Ease of Customization
Google BigQuery Reviews
Sriharsha T.
- Role: Student Academic
- Industry: Education
- Involvement: End User of Application
Submitted Nov 2022
Easy to use, but a bit pricey.
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
The documentation is really amazing.
What is your favorite aspect of this product?
The number of tutorials available online.
What do you dislike most about this product?
The UI for certain features is confusing to interact with.
What recommendations would you give to someone considering this product?
Definitely, a great product although I would suggest looking out for tutorials on youtube.
Pros
- Helps Innovate
- Altruistic
- Friendly Negotiation
- Enables Productivity
Cons
- Less Effective Service
Sulaiman O.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Nov 2022
Highly flexible product for data warehousing
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
Using artificial intelligence to optimize data sets Flexible data warehouse
What is your favorite aspect of this product?
Availability of on-demand data easily
What do you dislike most about this product?
overhead in queries for enhance business intelligence Limitations on the number of queries available.
What recommendations would you give to someone considering this product?
Good products for data warehousing and queries.
Pros
- Continually Improving Product
- Reliable
- Caring
- Acts with Integrity
- Role: Information Technology
- Industry: Technology
- Involvement: End User of Application
Submitted Oct 2022
An Excellent Tool To Simplified Workflow
Likeliness to Recommend
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing