Item: Google BigQuery
Rating: 9
Author: Ömer Perçin

Use Cases and Deployment Scope

We are analyzing loads of financial data and therefore had to find a solution which can handle the amount of data we have in our organization. The data insights generated by reports based on Google BigQuery are very valuable to all stakeholders involved. Google BigQuery helped a lot in our use case.

Pros and Cons

Performance
Setup
Security

Ease of Use
User interface
Dependencies to other solutions

Return on Investment

Performance
Kpi
Transparency

Alternatives Considered

SingleStore, Amazon Redshift and Oracle Big Data Cloud Service

Google BigQuery is a fully managed, serverless data warehouse offered by Google Cloud Platform. It stands out for its scalability, performance, and ease of use compared to other data warehouse solutions. Here's how it stacks up against others. Google BigQuery is designed to handle massive datasets, allowing you to store and query petabytes of data without worrying about infrastructure management or performance degradation.

Key Insights

Do you think Google BigQuery delivers good value for the price?

Yes

Are you happy with Google BigQuery's feature set?

Yes

Did Google BigQuery live up to sales and marketing promises?

Yes

Did implementation of Google BigQuery go as expected?

Yes

Would you buy Google BigQuery again?

Yes

Other Software Used

SingleStore, Oracle Big Data Cloud Service, Microsoft SQL Server

Likelihood to Recommend

Financial reporting and transactional reporting is suited well for Google BigQuery A lot of data like data streams are supported very well. Small scale usages are not adviced. The integration efforts are not marginal and should not be under estimated Also in case of data security concerns, I think Google is never a best practice to be used provider.

Google BigQuery can be awesome!

Overall Satisfaction with Google BigQuery