BigQuery Lens
BigQuery cost optimization with ease and collaboration
With DoiT BigQuery Lens, get usage insights to optimize usage fast – no diving into audit logs and best practice docs.
BQ lens

Explore it yourself

Take a self-service tour to experience how hundreds of DoiT customers optimize their BigQuery costs.
BigQuery costs optimized
Which tables should you cluster vs. partition? Are you overpaying for storage? Which of your analysts’ queries are worth optimizing? With BigQuery Lens, get the answers to these questions and more, so you can focus on building data-powered applications.

Reduce costs

Implement recommendations to ensure that your tables are organized for efficient scanning, you’re using the right pricing model, and that you’re not overspending on queries.
Better insights, faster decisions
Surface usage optimization opportunities so you can have more informed conversations and better collaboration with your team.
Zero setup
Get your most important usage insights without having to build any queries or dashboards.

Reduce costs

Implement recommendations to ensure that your tables are organized for efficient scanning, you’re using the right pricing model, and that you’re not overspending on queries.

Better insights, faster decisions

Surface usage optimization opportunities so you can have more informed conversations and better collaboration with your team.
Zero setup
Get your most important usage insights without having to build any queries or dashboards.
Faster dashboards, faster insights
Implement BigQuery Lens’ partitioning recommendations to make your BI dashboards deliver results faster while reducing query costs.
Optimize the queries you run the most
Use BigQuery Lens to identify scheduled queries that could be executed less-frequently, and dashboard jobs that can be optimized by leveraging BI Engine.
Eliminate runaway storage costs
Save on storage by utilizing BigQuery Lens to remove and backup unused tables to Cloud Storage instead.
Faster dashboards, faster insights
Implement BigQuery Lens’ partitioning recommendations to make your BI dashboards deliver results faster while reducing query costs.
Optimize the queries you run the most
Use BigQuery Lens to identify scheduled queries that could be executed less-frequently, and dashboard jobs that can be optimized by leveraging BI Engine.
Eliminate runaway storage costs
Save on storage by utilizing BigQuery Lens to remove and backup unused tables to Cloud Storage instead.
Faster dashboards, faster insights
Implement BigQuery Lens’ partitioning recommendations to make your BI dashboards deliver results faster while reducing query costs.
Optimize the queries you run the most
Use BigQuery Lens to identify scheduled queries that could be executed less-frequently, and dashboard jobs that can be optimized by leveraging BI Engine.
Eliminate runaway storage costs
Save on storage by utilizing BigQuery Lens to remove and backup unused tables to Cloud Storage instead.
Resident reduces costs 25% with DoiT BigQuery Lens
“Thanks to the recommendations from DoiT BigQuery Lens, we invested time in partitioning our key tables and reduced our BigQuery expenses by 25% a month.”

– Daniel Rimon, Head of Data Engineering, Resident
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For the BigQuery questions tech can’t solve
Some topics are too nuanced, or require a human-level understanding of your business for technology to solve.

Working with DoiT gives you a direct line to dozens of senior cloud architects for any BigQuery question or issue you have.

Consulting
Are you migrating data to BigQuery and need help designing data migration strategies? Want to move workloads between projects to take advantage of pricing? Tag in DoiT’s engineers to help you brainstorm your approach.
Training
Want to upskill your team BigQuery cost optimization best practices sessions? Cut through unnecessary actions and hours of reading documentation with DoiT’s BigQuery experts.
Support
Having trouble moving CloudSQL data to BigQuery with Datastream? Are high response times impacting your app? Put out fires fast (and prevent them from happening again) together with DoiT’s BigQuery experts.
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