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
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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
Ondřej W.
- Role: Information Technology
- Industry: Technology
- Involvement: End User of Application
Submitted Aug 2022
Store your GA data safely!
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
Main reason would be that we use BigQuery to store our clients and company Google Analytics data, so we know that all of our important data is at one place and safe. Also BigQuery provides a "free version" while you store and work with a limited data, afterwards you only pay per TB or GB what you use, or store which is good.
What is your favorite aspect of this product?
Extremly easy to connect with already existing Google Projects. You dont need any senior expirience or programmers to help you. From Google Analytics administration you can straight connect it to BigQuery and start saving all of your important data quickly. Afterwards with a little coding/jquery expirience, you can search through you raw data, export them, whatever you like!
What do you dislike most about this product?
The whole package of BigQuery consist of many products and things to explore, so for the begginer it might be a bit confusing to find the right thing you need.
What recommendations would you give to someone considering this product?
It depends on what are you looking for, but if you need to save your data quickly, not paying anything extra and you are user of Google Analytics, BigQuery is a way to go, within few minutes or after 1 YT tutorial, you are capable of saving all of your raw data to work on it later on
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
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
Vaibhav G.
- Role: Information Technology
- Industry: Technology
- Involvement: End User of Application
Submitted Jul 2022
Nobody beats this product
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
The amazingly fast processing of data and ability to export the data in various formats.
What is your favorite aspect of this product?
I can perform joins in huge tables and fetch huge amounts of data without being worried about the processing.
What do you dislike most about this product?
The latest update wherein they added the editor tabs. Although the editor tabs is great, it presents a lot of new bugs to this product.
What recommendations would you give to someone considering this product?
If you want some tasks to run on a daily basis in a specific time interval, use the schedule queries feature of this product which can be triggered using various means.
Pros
- Respectful
- Client Friendly Policies
- Fair
- Transparent
