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Product Information on Google BigQuery
What is Google BigQuery?
Google BigQuery Pricing
Overall experience with Google BigQuery
“BigQuery Enables Fast Terabyte-Scale Queries and Simple File-Based Table Creation”
“New Spend Control Features Improve BigQuery, But Support Issues Remain”
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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.
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User Sentiment About Google BigQuery
Reviewer Insights for: Google BigQuery
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Performance of Google BigQuery Across Market Features
Google BigQuery Likes & Dislikes
Out-of-the-box partitioning is very good, it allows terabyte scanning queries to run in minutes instead of hours, as is done by competitors. The interface is very clean and understandable, with easy SQL table creation from text files and parquet files. Preview version of tables are also very helpful.
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.
- Easy integration with GA4 Data. - Serverless architecture. - SQL compatibility and also powered by AI tools.
I believe that the cost is higher than for on premise services. It's also very cluttered with a lot of options, so I find it complicated to use for easy querying. It lacks some of the analytics for each column, something out of the box.
Working with google support is sometimes very frustruting
- On-demand pricing models can be difficult to manage. - Complex config on granular access security. - Inter-regional options can be more expensive and impact data movement.
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Google BigQuery Reviews and Ratings
- 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. - DATA ANALYTICAL ENGINEER1B-10B USDTravel and HospitalityReview Source
Google BigQuery Offers Seamless Experience With Rapid Support and Timely Feature Releases
Google BigQuery is exceptional. We use this enterprise wide, it is seamless, and has a good user experience. I am fascinated with the theme of Google. Sticking to white makes it so good. To cap it off, the support we get from the Google team is truly exceptional - Staff Analytics Engineer50M-1B USDServices (non-Government)Review Source
Robust Performance Noted Despite Difficulties in Cross-Region Data Integration Processes
A very robust tool that serves most of our use-cases, the only complaint being related to how some of our third-party vendors have technical difficulties sharing their data sources and projects with us with the intent to integrate them to our data lake/warehouse. We faced both issues with permissions and intra-region availability, delaying the process of making the datasets available to our users. - Engineer1B-10B USDTelecommunicationReview Source
Scalability and Ease Found in Data Tool, But Complex Queries Raise Costs Quickly
Working with BQ has been really positive. I find it fast and easy to use and has scaled well as our demands have grown. We have been using it with Looker and the experience has been smooth. Performance tuning and cost control is why I like BQ. Features like materialized views and clustering made a big difference for us. I also find it easy to find errors in my SQL with BQ. Aesthetically, it's the best data tool to use for data engineers.