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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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
Jasleen K.
- Role: Information Technology
- Industry: Technology
- Involvement: End User of Application
Submitted Dec 2022
The Best Method Of Querying Your Data
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
BigQuery can use SQL to quickly query large datasets. Its web user interface is quite good. It integrates with numerous other Google Cloud services.
What is your favorite aspect of this product?
The simplicity of usage and the numerous platform connectors. In particular, the incorporation of Google Sheets and Data Studio makes it incredibly simple to communicate and export the results.
What do you dislike most about this product?
A thorough search for particular table column fields using the explorer search box is missing. If you choose a table schema, a search bar for table and field names is available, but there is no way to simultaneously find all references to a table column field in other tables.
What recommendations would you give to someone considering this product?
Your searches will be automatically optimized by Google Cloud Big Query to the point where there will be little waiting time for larger or more sophisticated queries. The editor and query builder offers an extremely user-friendly interface that makes creating new queries quick and simple.
Pros
- Continually Improving Product
- Reliable
- Enables Productivity
- Efficient Service
Abakore G.
- Role: Finance
- Industry: Consulting
- Involvement: End User of Application
Submitted Nov 2022
Best Data Analytical Store Solution For Business
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
With Google BigQuery, we get a low cost data analytics data bases that is fast and secure
What is your favorite aspect of this product?
I like the many security features of Google BigQuery The software is fast and very effective Makes data analytics and retrieval easy
What do you dislike most about this product?
I haven't had any dislikes with Google BigQuery
What recommendations would you give to someone considering this product?
I recommend Google BigQuery because it works well and is very secure. It is seamless to use and very affordable too.
Pros
- Reliable
- Enables Productivity
- Trustworthy
- Efficient Service
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
