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
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Since last award
97 Plan to Renew
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Since last award
89 Satisfaction of Cost Relative to Value
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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
- Enables Productivity
- Acts with Integrity
- 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
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Neutral
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Feature Ratings
Data Management
Data Integration
Distributed Processing
Real Time Capabilities
Analytics and Data Science Tools
Data Security
Metadata Management
Workload Management and Monitoring
Platform Administration
Analytics and Reporting
Data Visualization
Vendor Capability Ratings
Business Value Created
Usability and Intuitiveness
Vendor Support
Ease of Implementation
Quality of Features
Ease of IT Administration
Ease of Data Integration
Breadth of Features
Product Strategy and Rate of Improvement
Availability and Quality of Training
Ease of Customization
Google BigQuery Reviews
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
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
