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
Positive
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
Viral G.
- Role: Information Technology
- Industry: Media
- Involvement: IT Development, Integration, and Administration
Submitted Nov 2023
Data Warehouse for every e-commerce
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
Its free tier is greatly valuable to start-ups.
What is your favorite aspect of this product?
The data warehouse is easy to connect. It is scalable and gives you a good performance. When you are starting from scratch, this is the best data warehouse one can bank on to secure all the data. They try to innovate to a great degree. They in fact came up with data science models in the query engine itself.
What do you dislike most about this product?
Nothing really. Google's services are rarely unpleasant for the money they charge and service they offer.
What recommendations would you give to someone considering this product?
If you are starting an e-commerce based on Shopify, do get the google big query. It will help to host all the data from backend. You can run the reports easily on it. Can't recommend doing this enough,
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
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
Takunda A. M.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Leader or Manager
Submitted Nov 2023
Top-Tier data warehouse that exceeds expectation
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
Google BigQuery differentiates itself from other similar products by its fully managed nature, scalability, high performance, cost-effectiveness, ease of use, integration with the Google Cloud ecosystem, machine learning capabilities, geospatial analysis, and security features.
What is your favorite aspect of this product?
High performance analytics and warehousing at a very affordable pay-as-you-go price
What do you dislike most about this product?
Limited data ingestion options, which may require third party workarounds
What recommendations would you give to someone considering this product?
Sign up and use it, it is a very powerful tool at a very low price
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Cons
- Charges for Enhancements
