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
97 Plan to Renew
88 Satisfaction of Cost Relative to Value
Down
1
Since last award
Emotional Footprint Overview
- Product Experience:
- 92%
- Negotiation and Contract:
- 86%
- Conflict Resolution:
- 91%
- Strategy & Innovation:
- 88%
- Service Experience:
- 92%
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
- Saves Time
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 Management
Data Integration
Distributed Processing
Real Time Capabilities
Analytics and Data Science Tools
Data Security
Analytics and Reporting
Workload Management and Monitoring
Platform Administration
Metadata Management
Data Visualization
Vendor Capability Ratings
Business Value Created
Usability and Intuitiveness
Quality of Features
Ease of Implementation
Vendor Support
Ease of IT Administration
Ease of Data Integration
Breadth of Features
Product Strategy and Rate of Improvement
Ease of Customization
Availability and Quality of Training
Google BigQuery Reviews
Meenakshi V.
- Role: Information Technology
- Industry: Education
- Involvement: IT Development, Integration, and Administration
Submitted Jun 2024
User friendly tool
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
It has very good user interface which is easy to understand for any person with basic knowledge.
What is your favorite aspect of this product?
It has everything on one screen.
What do you dislike most about this product?
it could be slow at times in complex queries.
What recommendations would you give to someone considering this product?
I would recommend this to every big or small businesses.
Pros
- Reliable
- Trustworthy
- Client's Interest First
- Transparent
Kirk V.
- Role: Information Technology
- Industry: Manufacturing
- Involvement: IT Leader or Manager
Submitted Jun 2024
Outstanding Cloud Analytical Data Warehouse!
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
Excellent cloud analytics data warehouse with outstanding query performance. It ended up being cheaper for all of the user queries than we thought it would be. We are still working to optimize data ingestion and transformation as we transferred everything directly from our old Cloudera Hadoop platform.
What is your favorite aspect of this product?
Performance is amazing and you do not have to worry about scaling servers or storage.
What do you dislike most about this product?
Data ingestion and transformation into BigQuery can be somewhat costly so beware that you will want to optimize as much as possible to save money.
What recommendations would you give to someone considering this product?
Find a great implementation partner who has implemented BigQuery several times in the past so that you can partner with them. Beware of data ingestion and data transformation costs because those can add up quickly, but we found that BigQuery query costs were much lower than we forecasted.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Raghwendra S.
- Role: Information Technology
- Industry: Engineering
- Involvement: IT Development, Integration, and Administration
Submitted Jan 2024
Fast data warehouse suitable for dashboards
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
Google BigQuery provides many functionalities to detect query data scan and query execution time before execution , allowing you to set policies to prevent poorly written queries from getting executed. It is very east to setup and performant
What is your favorite aspect of this product?
The east of use with google bigquery is very high, it also allows to connect google sheet to google big query via Connected Sheets feature
What do you dislike most about this product?
the pricing is not very competitive, it has compute and storage cost , because of the storage cost component you are charged for data which is loaded in big query
What recommendations would you give to someone considering this product?
For any team working in google cloud , using google bigquery is a simple solution to setup a data warehouse which is performant when you have a smaller team and want to get results faster
Pros
- Respectful
- Helps Innovate
- Continually Improving Product
- Reliable
