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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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
Negative
Neutral
Positive
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
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
Please tell us why you think this review should be flagged.
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
Please tell us why you think this review should be flagged.
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
Please tell us why you think this review should be flagged.
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