BigQuery Cost Observability and Optimization
Track reservations, slots, and usage
Making BigQuery management effortless for hundreds of companies
Stop paying for queries you didn't mean to run.
SELECT gives you full clarity over every dollar of BigQuery spend.
Optimize slot commitments with confidence.
Find unused capacity and right-size reservations to reduce BigQuery spend.
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See where every slot is going.
Understand slot utilization, query activity, and cost drivers across reservations, projects, and workloads.
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Flexibly allocate BigQuery resources and query workloads.
Allocate costs to teams, projects or departments and set budgets to encourage efficient usage of BigQuery.
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Avoid surprises with cost monitoring.
Automatically get notified of spend anomalies and easily route alerts to your preferred destination.
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“We got up and running with SELECT in about 20 minutes and were able to drop our usage by 15% in just two days. Our team was able to focus on other valuable business initiatives instead of worrying about optimizing costs and building out our own monitoring.”
Marcus Wong
Director of Business Intelligence, Clearco
Insights
Ensure effective usage of data cloud resources
SELECT's intelligent insights engine continuously analyzes your data cloud accounts for optimization opportunities.
Visibility
Gain unprecedented cost visibility into every workload running in your account
SELECT provides a single pane of glass for your data platforms, so you can see exactly where each credit is going.
“Thanks to SELECT's monitoring and lineage, we were able to identify a job running more frequently than the upstream dataset was being populated, change four lines of code and prevented a new workload from costing $800,000/year to only $50,000.”
Skyler Chi
SVP, GTM Productivity & Excellence, Exiger
Out-of-the-box integrations with your whole data stack
SELECT integrates with popular data tools to provide enhanced cost attribution and help you understand total asset cost.
“I love clicking through SELECT to understand how our environment and workloads are evolving. I probably check it every day. It's coffee and SELECT for me every morning.”
Ian Fahey
Senior Analytics Engineer, Loop
