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
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Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard
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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
98 Plan to Renew
1
Since last award
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.
+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
- 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
Workload Management and Monitoring
Metadata Management
Data Visualization
Vendor Capability Ratings
Business Value Created
Ease of Implementation
Usability and Intuitiveness
Ease of Data Integration
Quality of Features
Vendor Support
Breadth of Features
Ease of IT Administration
Product Strategy and Rate of Improvement
Ease of Customization
Availability and Quality of Training
Google BigQuery Reviews
Eyad B.
- Role: Sales Marketing
- Industry: Transportation
- Involvement: Business Leader or Manager
Submitted Feb 2024
Likeliness to Recommend
Pros
- Reliable
- Enables Productivity
- Unique Features
- Effective Service
Vaishnavi K.
- Role: Information Technology
- Industry: Agriculture
- Involvement: Vendor Management and Renewal
Submitted Feb 2024
Fantastic product
Likeliness to Recommend
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
Vatsal G.
- Role: Information Technology
- Industry: Retail
- Involvement: IT Development, Integration, and Administration
Submitted Dec 2023
Fantastic Product with great usability & features
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
Ease of use. As it is very obvious with all the google products, it is very easy to use and works really well with other corresponding tools.
What is your favorite aspect of this product?
It has a very casual UI so that makes it easy to use. It integrates well other tools like BI tools and ETL tools.
What do you dislike most about this product?
Nothing really there to dislike about Bigquery. May be they can make the data warehouse a little fast.
What recommendations would you give to someone considering this product?
If you don't have a huge data then this is the answer. Look no further away, If you have a huge data and you repeatedly process hundreds of millions of rows, then you still may consider Bigquery. Only difference is that in the first case Bigquery is the obvious winner.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Enables Productivity
