Item: Google BigQuery
Rating: 9
Author: Rajender Singh

Use Cases and Deployment Scope

We are analyzing large volumes of data generated by IoT devices to derive actionable insights and improve decision-making and for monitoring purpose while sitting from different places around the globe. Google BigQuery is helping us in setting up automation of gear manufacturing process in factories so as to reduce human effort.

Pros and Cons

Provide real time data for analysis and monitoring purpose.
SQL based queries makes it user friendly.
It can handle large amount of data.

sometime faced performance issues in query execution
training material is not easily available
Continuous maintenance required

Return on Investment

getting real time data very quickly
Monitoring of large amount of data from multiple factories in short period of time.
Decision making process become more easier for sales team and production team.

Alternatives Considered

Microsoft SQL Server

The data performance of Google BigQuery is best as per other software. Limitations on Google BigQuery's data size are superior to those of Microsoft SQL. Obtaining real-time data from several IoT devices is another benefit.

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

PTC Windchill, Windchill PDMLink

Likelihood to Recommend

Google BigQuery we have used while processing large amount of data when connected with Iot devices in automation factory which continuously give real time data and Google BigQuery can handle it very easily.

Sometime Small volume of data require same effort of writing query which is little bit hectic for users.

Data analytics experience on Google BigQuery

Overall Satisfaction with Google BigQuery