What is Google BigQuery?
BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you have no infrastructure to manage and don't need a database administrator, use familiar SQL and can take advantage of pay-as-you-go model.
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Real user data aggregated to summarize the product performance and customer experience.
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87 Likeliness to Recommend
96 Plan to Renew
90 Satisfaction of Cost Relative to Value
Emotional Footprint Overview
+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
- Caring
- Acts with Integrity
- Enables Productivity
Emotional Footprint
How to Read
Positive
Neutral
Negative
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
Feature Ratings
Data Management
Data Integration
Real Time Capabilities
Distributed Processing
Metadata Management
Analytics and Data Science Tools
Platform Administration
Data Security
Workload Management and Monitoring
Analytics and Reporting
Data Visualization
Vendor Capability Ratings
Vendor Support
Business Value Created
Ease of Implementation
Quality of Features
Breadth of Features
Ease of Data Integration
Ease of IT Administration
Usability and Intuitiveness
Availability and Quality of Training
Product Strategy and Rate of Improvement
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
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
Yash S.
- Role: Information Technology
- Industry: Finance
- Involvement: IT Leader or Manager
Submitted Dec 2023
Google BigQuery: Powerful Analytics Platform
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
Google BigQuery sets itself apart from other similar products through its exceptional speed and scalability in processing large-scale datasets. The platform's serverless architecture eliminates the need for infrastructure management, enabling users to focus solely on querying and analyzing data. Its unique billing model, based on on-demand pricing, ensures cost-effectiveness by charging only for the resources used during queries, making it a flexible and cost-efficient solution. Additionally, seamless integration with other Google Cloud services and robust support for real-time data
What is your favorite aspect of this product?
As a data engineer, what truly impresses me about Google BigQuery is its lightning-fast processing speed and hassle-free scalability. The way it effortlessly handles large datasets, allowing me to focus on data engineering tasks without worrying about infrastructure management, is a game-changer. The serverless architecture and pay-as-you-go pricing model make it not only efficient but also cost-effective. Moreover, the seamless integration with other Google Cloud services adds an extra layer of convenience to my workflow. Google BigQuery, with its speed, scalability, and ecosystem integration, has become my go-to tool for efficient pipeline
What do you dislike most about this product?
While Google BigQuery excels in many aspects, one area that can be challenging is the cost, especially for large and complex queries. The on-demand pricing model, while flexible, can lead to unpredictability in expenses, and users need to be mindful of optimizing queries to manage costs effectively. Additionally, there might be occasional limitations in terms of advanced data preparation features within the platform, requiring users to perform some tasks outside of BigQuery.
What recommendations would you give to someone considering this product?
For those considering Google BigQuery, I would recommend carefully assessing your data engineering needs and ensuring compatibility with the platform's strengths in speed and scalability. Take the time to understand the on-demand pricing model and optimize your queries to manage costs effectively. Leverage the seamless integration with other Google Cloud services to maximize the platform's potential within your ecosystem. Additionally, stay updated on new features and enhancements, as Google Cloud regularly introduces improvements to the platform.
Pros
- Continually Improving Product
- Performance Enhancing
- Enables Productivity
- Unique Features