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.
87 Likeliness to Recommend
96 Plan to Renew
90 Satisfaction of Cost Relative to Value
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
- Caring
- 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 Management
Data Integration
Distributed Processing
Real Time Capabilities
Analytics and Data Science Tools
Metadata Management
Data Security
Platform Administration
Analytics and Reporting
Workload Management and Monitoring
Data Visualization
Vendor Capability Ratings
Business Value Created
Ease of IT Administration
Vendor Support
Ease of Implementation
Usability and Intuitiveness
Quality of Features
Ease of Data Integration
Breadth of Features
Availability and Quality of Training
Product Strategy and Rate of Improvement
Ease of Customization
Google BigQuery Reviews
Prakriti K.
- Role: Sales Marketing
- Industry: Transportation
- Involvement: End User of Application
Submitted Aug 2021
Bigquery - A multi cloud data warehouse
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
Track business processes insights and provide real time data. Easy to create reports and dashboard using tools. Get a free credits during trail period. Import data from any source to Bigquery. Data analysis in cloud, safe and secure.
What is your favorite aspect of this product?
Google has best tools to grow your business in smart way. Here Bigquery is an anothe tool with multiple features. BigqueryML helps analytics to build ML inside it using SQL easily. With standard SQL and Bigquery tools you easily answer to queries from a single dashboard. You can use your any data source to import data into Bigquery. It manages all security controls on your databases. It helps in data integration , transformation with BI tools. You can analyse your all queries through Google sheet in a single place. It's high speed insertion API provides real time data of your business for better analysis.
What do you dislike most about this product?
Nothing to dislike this tool. It is best in it's category and boosts in BI.
What recommendations would you give to someone considering this product?
I would recommend this to businesses who are growing now and want to analyse their data for better performance. It is best to integrate with and it will boost up your analysis system. It will give your business needs a helping hand. Pricing is best. You will get free credits during your new registrations.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Victoria J.
- Role: Information Technology
- Industry: Technology
- Involvement: Initial Implementation
Submitted Aug 2021
Powerful for Secure Storage of Multiple Data.
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
Functional and efficient Google product for easy handling of multiple complex data and the production of real time functionalities has made the tool to be the best.
What is your favorite aspect of this product?
Metadata management capability an easy getting used to all the functions offered by the software and easy to configure.
What do you dislike most about this product?
No dislike, powerful Google tool that has easy features with great capabilities of easy handling of any data.
What recommendations would you give to someone considering this product?
Real time data management and analytics production and secure solution to store big data which are pulled from multiple data sources through its stable integration tools.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Harsh P.
- Role: Information Technology
- Industry: Technology
- Involvement: Business Leader or Manager
Submitted Jul 2021
Amazing Product
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
If you are running application in cloud, it is the best product for you.
What is your favorite aspect of this product?
Fastest Querying.
What do you dislike most about this product?
Nothing at all, just wants that google to increase the limit of the storage in bigquery.
What recommendations would you give to someone considering this product?
Oh yes definitely, I will suggest.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
