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
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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
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
Cindy R.
- Role: Operations
- Industry: Telecommunications
- Involvement: End User of Application
Submitted Jul 2022
Quick and cheap tool
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
BigQuery makes it easy to import data from various sources into a pre-defined schema and table. Rapid data access is one of the many strengths of this excellent data warehouse technology. Using a standard web browser, users can view and verify large amounts of data. The underlying engine always strives to improve query performance and grow as needed to achieve service-level agreements.
What is your favorite aspect of this product?
The data warehousing and real-time analytics functions are my favorites. I can export the ability to store massive amounts of information to spreadsheet programs like Google Sheets. My Google Data Studio reports required a data warehouse that could process large payments of information rapidly and efficiently. Since migrating to Google Big Query, we've seen instantaneous loading times and more agility across all data sets.
What do you dislike most about this product?
The price is the one thing I don't like, although compared to other cloud providers, BigQuery is reasonable. The sandbox environment of BigQuery only allows DML SQL commands, which limits its usefulness for learning. As my query grows in size, the BigQuery console's lag becomes more annoying. BigQuery doesn't support all the major SQL languages.
What recommendations would you give to someone considering this product?
To store and generate reports from our many syndicated data sources, I have taken advantage of Google Cloud and BigQuery. Tableau and other data visualization tools are used to access the functional and reporting levels of BigQuery. It's a great buy because it's simple to implement and use and works well with other programs to help with data analysis and visualization.
Pros
- Reliable
- Unique Features
- Saves Time
- Respectful
Katherine M.
- Role: Sales Marketing
- Industry: Communications
- Involvement: End User of Application
Submitted Jul 2022
Cloud-based data-querying technology
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
In all big organizations, Google BigQuery is used to assist uncover business value from very big, diverse data sets. Google BigQuery is smartly crafted to analyze data with millions of entries using a syntax similar to SQL. It makes use of the data processing equipment that is incorporated into the Google Cloud Platform to deliver extremely rapid performance.
What is your favorite aspect of this product?
Google BigQuery is an excellent and quick data warehouse system with quick data access. Our data appeared to be easily integrated into the cloud, and utilizing BigQuery with BI tools makes it simple to retrieve. It has greatly increased our analytical capacity and advanced our company. Comparatively speaking to other software packages we have used, running queries is simple and quick.
What do you dislike most about this product?
I don't have many complaints about the user side of things. The one thing we might say we don't like is the price, although BigQuery is reasonably priced compared to other cloud service providers. They share many of the same features as other cloud service providers. The costs could skyrocket if we don't correctly structure the queries.
What recommendations would you give to someone considering this product?
Google BigQuery is a powerful big data solution that is designed to assist users to comprehend and control all the different sorts of data gathered from numerous data sources in their organization. Google BigQuery also offers real-time statistics, enabling managers to decide on sales targets or customer demands based on the most recent data rather than conjecture.
Pros
- Continually Improving Product
- Reliable
- Performance Enhancing
- Trustworthy
