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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Real user data aggregated to summarize the product performance and customer experience.
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87 Likeliness to Recommend
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
- Caring
- Acts with Integrity
- Enables Productivity
Emotional Footprint
How to Read
Positive
Neutral
Negative
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
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
Google BigQuery Reviews
Ricardo M.
- Role: Information Technology
- Industry: Finance
- Involvement: End User of Application
Submitted Oct 2023
Elaborate and Accurate Data Solution
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
The data integration capacity from this platform is one of the benefiting factors, that allows us to have a solid performance.
What is your favorite aspect of this product?
The immediate data screening, which allows all transactions to be recorded and monitored.
What do you dislike most about this product?
The tool has the subscription challenges, where cost is a big challenge that users find when working with the platform.
What recommendations would you give to someone considering this product?
This is the most affordable and useful solution in matters investment, and the capacity to control data and ensure clarity is one of the basics from the developer.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Enables Productivity
Charles D.
- Role: Finance
- Industry: Finance
- Involvement: IT Development, Integration, and Administration
Submitted Sep 2023
Great product to use
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
BigQuery has amazing customer service that is unmatched.
What is your favorite aspect of this product?
It is very easy to use for all skill levels.
What do you dislike most about this product?
Interface is sometimes difficult to use
What recommendations would you give to someone considering this product?
I would definitely get the product, we have had not regrets.
Pros
- Performance Enhancing
- Effective Service
- Saves Time
- Respectful
Cons
- Less Inspiring
- Less Friendly Negotiation
- Security Frustrates
siddharth s.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Jun 2023
Powerful and scalable data analysis tool
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
Google BigQuery distinguishes itself from other similar products through its impressive processing speed, and scalable infrastructure
What is your favorite aspect of this product?
My favorite aspect of Google BigQuery is its ability to handle and process massive volumes of data efficiently and quickly
What do you dislike most about this product?
I dislike about Google BigQuery is that it can be challenging to optimise and fine-tune query performance
What recommendations would you give to someone considering this product?
I would recommend investing time in understanding and mastering SQL query optimisation techniques to maximise performance and efficiency
Pros
- Helps Innovate
- Continually Improving Product
- Performance Enhancing
- Enables Productivity