Overview
Product Information on Google BigQuery
What is Google BigQuery?
Google BigQuery Pricing
Overall experience with Google BigQuery
“Unmatched Speed and Scalability for the Startup companies”
“New Spend Control Features Improve BigQuery, But Support Issues Remain”
About Company
Company Description
Googlers is a company that creates products intended to create opportunities for an extensive audience, regardless of their location across the globe. The company values diverse perspectives, imaginations and non-conformity to predefined norms and impossibilities. The goal is to build products while incorporating uniqueness of each individual involved in this process, aiming to make their products accessible and useful to all.
Company Details
Do You Manage Peer Insights at Google?
Access Vendor Portal to update and manage your profile.
Key Insights
A Snapshot of What Matters - Based on Validated User Reviews
User Sentiment About Google BigQuery
Reviewer Insights for: Google BigQuery
Deciding Factors: Google BigQuery Vs. Market Average
Performance of Google BigQuery Across Market Features
Google BigQuery Likes & Dislikes
It is easy to setup, scalable, easy to maintain, and can also be used for Machine Learning for training. The separation of compute and storage is the backbone of the infrastructure.
The most compelling feature is data delivery from other google products - Google Analytics and Google Ad Manager most of all. The new-ish features for controlling spend are strong.
If you know a bit of SQL it is fairly quick and easy to dive in and get started. BigQuery SQL does not vary too much from other forms so it is easy to pick up if you have prior knowledge of other SQL syntaxes.
It comes with limitations like row and column operations, sometimes the cost can go high as calculations are not that straight forward. Console can be made more user friendly. Since it is serverless, the user has limited area for customization.
Working with google support is sometimes very frustruting
You need to be very wise to how costs are processed when queries are run or it is easy to incur unexpected charges, especially if you have large datasets with bad table partitioning
Top Google BigQuery Alternatives
Peer Discussions
Google BigQuery Reviews and Ratings
- Software Engineer1B-10B USDMediaReview Source
Unmatched Speed and Scalability for the Startup companies
I have used Google BigQuery for personal and enterprise company projects. No doubt it has been made with simplicity and serverless architecture to boost the productivity of a user and focus on problem solving. I already recommend it for beginners as it is user friendly and can be integrated with other data sources like bucket storage and marketplace datasets. Overall, I found it an intelligent tool with high scalability and cost effective. - DATA ENGINEER<50M USDMediaReview Source
BigQuery BigBusiness BigResults
A great data warehouse product for collating and manipulating data that you can easily feed into other systems. Constantly evolving with new features and has Gemini now built into it. Gives you direct access to cloud storage and scheduled queries can be set up to manage and synchronise the movement of data and files. There is a wealth of documentation and help files and of course Gemini to help people get up to speed and make the most of the product. - Data Analyst50M-1B USDSoftwareReview Source
BigQuery Enables Fast Terabyte-Scale Queries and Simple File-Based Table Creation
BigQuery is the next step in database management. It's a product that stands out among its competitors because of very smart partitioning possibilities and a possibility to easily link it with other Google services. - Data Analytics Manager50M-1B USDRetailReview Source
Centralized Data Platform Eases Integration But Budget Oversight Is Challenging
As a centralized data governance and analytics platform has been exceptional for us, and is a solid primary engine for our data strategy, seamlessly receiving large volumes of data. But maintaining a strict budget requires significant manual oversight of query patterns and custom quotas. - Product Manager50M-1B USDTravel and HospitalityReview Source
Scalability and Low Latency in Google BigQuery Highlighted by 15 Million Customer Records
Absolutely mindblown with the kind of scale that someone can expect in Google BigQuery. Currently we have data for close to 15M customers and whenever we query for some analysis and time taken to consume it is absolutely nil.