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
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97 Plan to Renew
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88 Satisfaction of Cost Relative to Value
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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
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Feature Ratings
Data Management
Data Integration
Distributed Processing
Real Time Capabilities
Analytics and Data Science Tools
Data Security
Workload Management and Monitoring
Analytics and Reporting
Metadata Management
Platform Administration
Data Visualization
Vendor Capability Ratings
Business Value Created
Usability and Intuitiveness
Vendor Support
Quality of Features
Ease of Implementation
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
Srikanth C.
- Role: Information Technology
- Industry: Engineering
- Involvement: IT Development, Integration, and Administration
Submitted Jul 2024
Easy Data Querying with Big Query
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
Since Big Query lies within Googles Cloud Platform it gets very convenient to process data in GCP and store it in Big Query to easily Query stored data. This is not the case with other open source services as data ingestion and management gets difficult.
What is your favorite aspect of this product?
Using Google Big Query we could easily make a upper Cap on the spend for the processing we use. The data here is also safely replicated and provide options like snapshots to retain data prior updating. The Storage configurations are simple and the queries can be ran on schedule without manual interference.
What do you dislike most about this product?
Permissions related to the dataset are a little difficult to configure. Also it is a bit hard to integrate with other cloud services relational data.
What recommendations would you give to someone considering this product?
A Basic understanding of Google Clod platform and structured SQL data bases is recommended.
Pros
- Unique Features
- Efficient Service
- Effective Service
- Over Delivered
Matthias S.
- Role: Information Technology
- Industry: Consulting
- Involvement: End User of Application
Submitted Jun 2024
Process and analyze meaningful data sets.
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
It is very scalable and can handle massive data sets quickly and efficiently, among other things.
What is your favorite aspect of this product?
I love its intuitive and friendly interface because it makes it easy to load data, execute SQL queries, and view results.
What do you dislike most about this product?
Dislike The expenses associated with using Google BigQuery can be a limitation.
What recommendations would you give to someone considering this product?
I highly recommend it thanks to its distributed architecture and parallel processing capabilities; It also has exceptional query execution performance. Even with huge data sets, this allows real-time analysis results.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
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
