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
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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
Amey S.
- Role: Information Technology
- Industry: Engineering
- Involvement: End User of Application
Submitted Nov 2023
"Fantastic product!"
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
BigQuery is a fully managed, serverless data warehouse that handles all aspects of storage and maintenance, allowing users to focus on analyzing data rather than managing infrastructure. This serverless approach is a significant differentiator from traditional data warehouses that require server management. BigQuery is deeply integrated with other GCP services, like Google Cloud Storage, Dataflow, Dataproc, and Pub/Sub, providing a comprehensive cloud analytics solution within the Google ecosystem.
What is your favorite aspect of this product?
My favorite aspect of Google BigQuery is its serverless, fully managed architecture. This feature significantly reduces the complexity and overhead associated with managing a traditional data warehouse. The fact that I don't need to worry about server maintenance or infrastructure scaling allows me to focus entirely on analyzing data and gaining insights.
What do you dislike most about this product?
I do not really understand its primary purpose as in why it was built.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
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
Ajay C.
- Role: Information Technology
- Industry: Finance
- Involvement: End User of Application
Submitted Jun 2023
Easy to use data warehouse
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
The ease of use , the performance of the product, the integrations capabilities with multiple data sources
What is your favorite aspect of this product?
As a part of implementing moden data stack using big query we have been able to produce data analytics solutions at a faster pace. The performance of the data source has been amazing and it was very easy to learn as well. The community support is the best. All the solutions can be found online.
What do you dislike most about this product?
None , it is an amazing product
What recommendations would you give to someone considering this product?
Amazing product with great capabilities
Pros
- Reliable
- Performance Enhancing
- Trustworthy
- Efficient Service
