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
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
Patricia C.
- Role: Operations
- Industry: Engineering
- Involvement: End User of Application
Submitted Jul 2022
Fantastic tool for storing and investigating data
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
Google BigQuery answers the problem of clarity in terms of the monthly payment, usage, and how to provide users access to various directories. Additionally, it enables total interaction with other elements of the Google Suite which make it more unique and competitive in the market. Simple to use even for those team members who are unfamiliar with cloud platforms.
What is your favorite aspect of this product?
The most significant part of Google BigQuery is that it is one of the best SQL data management solutions and the second amazing benefit is that it does not require managing instances or scaling clusters. It is one of the quickest, simplest, and least expensive methods I am aware of on the market. Additionally, it is more helpful for combining data from several other outside sources.
What do you dislike most about this product?
The layout of the UI/UX makes it initially challenging to utilize on a small display. If you just want a local setup, you can't utilize it outside of the Google cloud platform, which is the main downside. Setup is generally standard, and data schema customization is minimal.
What recommendations would you give to someone considering this product?
It is the smartest and most reasonably-priced approach for a company or business that wishes to build data warehouse logic. Because of its apparent lack of unity within the Google ecosystem, Big Query can be a highly helpful solution for storing and accessing your material if you utilize Google suites.
Pros
- Continually Improving Product
- Performance Enhancing
- Unique Features
- Effective Service
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Nikesh S.
- Role: Information Technology
- Industry: Technology
- Involvement: End User of Application
Submitted Jun 2022
One of the best Data Warehousing Service
Likeliness to Recommend
What differentiates Google BigQuery from other similar products?
BigQuery stores data in columnar manner which is unlike any Database which helps in faster analysis of data and faster query runs. The query fired on tables is distributed across different nodes and query results are computed parallelly.
What is your favorite aspect of this product?
The Machine Learning capability of BigQuery is something that I like the most. Just by running a few SQL queries we can build and train an ML model without having to write any Python code. Another good feature is that we can schedule our queries to run and the results to be presented as part of dashboards/reports can be quickly computed using BI Engine
What do you dislike most about this product?
There is one bug while loading data of STRING type in BigQuery. If all the columns in the data are of string data type then BigQuery is not able to detect the column names on its own.
What recommendations would you give to someone considering this product?
BigQuery is one of the leading Data Warehousing tool and is a very efficient service provided by GCP. It can be easily connected with Data Integration and Analytical tools and it works seamlessly with almost every tool available in the market
Pros
- Reliable
- Performance Enhancing
- Unique Features
- Efficient Service
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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
Please tell us why you think this review should be flagged.
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