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Monitor and fully understand your BigQuery costs with Tailwarden
Monitor and fully understand your BigQuery costs with Tailwarden
Cyril avatar
Written by Cyril
Updated over a week ago

BigQuery is a fantastic and powerful tool for handling large datasets, but it's notoriously expensive and can be challenging to track and understand costs accurately. Not anymore with Tailwarden.

BigQuery Queries Widget

With Tailwarden, you can leverage our widget creation feature to add widgets in your custom dashboard specifically for BigQuery. Our platform collects all the necessary data, including queries, tables, datasets, statements, projects, locations, users, and costs. This allows you to create as many widgets as you need to monitor and analyze BigQuery usage effectively.

How to create a widget about queries

First, learn about custom dashboards and widgets creations. Then, simply create a new widget in a new or existing report:

  1. In metrics, select "Queries". This makes the widget specifically about BigQuery queries.

  2. Customize widget parameters to create your own custom widget.

Chart options include:

  • Pie Chart

  • Treemap

  • Table: Allows you to pick the columns you want to see.

See how easy it is in this video:


Examples

Most expensive queries:

  • Description: Displays the top 5 most expensive queries, helping you identify cost drivers.

  • Type: Pie Chart.

  • Group by: Query.

Cost per statement:

  • Description: Display how much you pay per type of statement. Can be used to identify issues or potential optimisations.

  • Type: Treemap.

  • Group by: Statement.

Cost per user:

  • Description: Identifies who is the most costly user.

  • Type: Pie chart.

  • Group by: User.

Conclusion

BigQuery is a powerful tool, but its costs can spiral out of control if not managed properly. Tailwarden enables you to monitor and optimize your BigQuery expenses, preventing costly mistakes and ensuring efficient query performance. With our customizable widgets, you can gain detailed insights and control over your BigQuery usage.

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