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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88 Likeliness to Recommend
1
Since last award
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
- 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
Positive
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
Vendor Support
Ease of IT Administration
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
Simone S.
- Role: Information Technology
- Industry: Chemicals
- Involvement: End User of Application
Submitted May 2022
Analyze and make important business decisions
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
BigQuery works well with other platforms, such as Knime, and can be linked to other data visualization or manipulation software. Furthermore, it is simple to use with multiple users and teams, and creating areas for users of various levels or types is simple.
What is your favorite aspect of this product?
BigQuery is used for data exploration by BI tools. It also serves as our primary data warehouse. It includes both raw and aggregated data. By running scheduled queries on it, this is also used for aggregation. I like how quickly we can quickly build dashboards, control data visibility permissions, plug in new data sources, automate alarms, and easily schedule data processing jobs by leveraging the power of BigQuery.
What do you dislike most about this product?
Few ETL tools provide robust connectors for loading and retrieving data from Google BigQuery. I can't run multiple queries in the same console because I frequently want to compare the results immediately.
What recommendations would you give to someone considering this product?
Google BigQuery has significantly increased our analytical capabilities while also propelling our company forward. BigQuery works well with other Microsoft and Google products, as well as data visualization software such as PowerBI, Tableau, and MicroStrategy.
Pros
- Continually Improving Product
- Reliable
- Unique Features
- Effective Service
Claire T.
- Role: Information Technology
- Industry: Technology
- Involvement: End User of Application
Submitted May 2022
Enhanced decision making abilities
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
Scalability, ease of setup and use, and no need to worry about infrastructure make it an extremely powerful tool. BQML and federated query are useful features that save a lot of time when bringing data into a data warehouse in a traditional environment.
What is your favorite aspect of this product?
I tried so many tools in our organization before utilizing it but none of them work according to our needs I love BigQuery which crossed my expectations. We use BigQuery to aggregate data from multiple systems and create datasets for data analysis that aid in decision making, visualizing the status of business processes, and automating decisions and notifications based on highly customizable criteria.
What do you dislike most about this product?
We're constantly reaching our maximum slot usage, which means some queries won't run or we'll hit concurrent slot usage, which means some queries will time out and not retrieve data. This is one of the most difficult problems we have.
What recommendations would you give to someone considering this product?
When dealing with extremely large amounts of data, Google BigQuery comes in handy. We don't have to pay for hardware, so it's much cheaper than on-site data storage. In comparison to other query tools we've used, running queries is simple and quick. I would strongly suggest Google BigQuery.
Pros
- Continually Improving Product
- Reliable
- Unique Features
- Effective Service
Francisco M.
- Role: Information Technology
- Industry: Engineering
- Involvement: IT Development, Integration, and Administration
Submitted Mar 2022
Great product
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
Great design and highly intuitive
What is your favorite aspect of this product?
Stability and reliability
What do you dislike most about this product?
A little bit pricey for what it is
What recommendations would you give to someone considering this product?
Consider all the options to see the most suitable for your objectives
Pros
- Respectful
- Helps Innovate
- Continually Improving Product
- Trustworthy
