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
98 Plan to Renew
1
Since last award
87 Satisfaction of Cost Relative to Value
2
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
- Acts with Integrity
- Enables Productivity
- 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 Integration
Data Management
Distributed Processing
Data Security
Analytics and Data Science Tools
Real Time Capabilities
Analytics and Reporting
Workload Management and Monitoring
Platform Administration
Metadata Management
Data Visualization
Vendor Capability Ratings
Business Value Created
Ease of Implementation
Quality of Features
Usability and Intuitiveness
Ease of Data Integration
Vendor Support
Ease of IT Administration
Breadth of Features
Product Strategy and Rate of Improvement
Ease of Customization
Availability and Quality of Training
Google BigQuery Reviews
Peter P.
- Role: Information Technology
- Industry: Technology
- Involvement: End User of Application
Submitted Sep 2022
More appealing and Valuable
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
Google BigQuery works on a cloud infrastructure and because of its cloud architecture, it is in my view the fastest and most attractive system, which allows for seamless accessibility and flexible data storage. It displays the amount of data that will be retrieved and can be utilized to further improve the query.
What is your favorite aspect of this product?
To start, the best thing is its simplicity and scalability and the fact that on its interface we can use SQL to query our data. As it adheres to serverless design, we merely have to worry about the management and safety of our data. Google BigQuery can handle both computation and storage. It facilitates in-the-moment assessment. To sum up, this is a top-notch product.
What do you dislike most about this product?
I don't believe this is a big deal because we are all cognizant that in order to get the best results, we must pay a little more money. Google BigQuery is expensive but offers excellent value for the money and equips its users with the most powerful platform, which will undoubtedly meet your needs and allow you to scale however you like.
What recommendations would you give to someone considering this product?
It is a reliable and quick way to store, process, and query data. Using Google BigQuery, which is much more powerful and can fit any corporate setting because have too many possibilities for tweaking. Users can process enormous amounts of data in a remarkably short amount of time. Based on my experience, I believe this can be ideal for any corporation.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Enables Productivity
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Boinett G.
- Role: Industry Specific Role
- Industry: Finance
- Involvement: End User of Application
Submitted Aug 2022
An Amazing Business Storage Tool
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
Google BigQuery is super good when it comes to data storage. It makes searching and managing big data easy
What is your favorite aspect of this product?
It's highly secure Scaling Google BigQuery is effortless The software offers great features and makes searching data as well as storage of big data easy
What do you dislike most about this product?
I haven't encountered major issues using Google BigQuery
What recommendations would you give to someone considering this product?
For business data storage, I recommend Google BigQuery because it offers the best or nothing. It's Affordable and scaling and securing business data is easy too.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Please tell us why you think this review should be flagged.
Maitri F.
- Role: Information Technology
- Industry: Technology
- Involvement: End User of Application
Submitted Jul 2022
Best in market data warehouse
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
Google Big Query, unlike other data warehousing tools, stores data in columnar format on separate nodes as compute nodes in order to maintain data persistency.
What is your favorite aspect of this product?
Big Query offers special engines known as BI Engine, which on the reservation of storage space can cache your query result and provide a faster response time.
What do you dislike most about this product?
The new UI offered by Big Query has quite a few bugs and hampers the Bigquery querying performance.
What recommendations would you give to someone considering this product?
Bigquery is definitely one of the best data warehousing tools that I've come across so far and it has all the capabilities which make it a performance-packed and cost-efficient data warehouse.
Pros
- Performance Enhancing
- Unique Features
- Efficient Service
- Effective Service
Please tell us why you think this review should be flagged.
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