Why teams switch
Real-time monitoring and automated optimization so teams can quickly understand where spend is happening, how workloads are performing, and where meaningful savings can be captured.
Automated anomaly detection alerts your team when spend spikes or usage shifts unexpectedly across Snowflake, Databricks, or BigQuery.
Intelligent insights and automated warehouse rightsizing lower compute costs by 10-20%. Works across Snowflake, Databricks, and BigQuery.
Surface inefficient workloads, right-size warehouses, and guide users toward more responsible usage patterns across your data stack.
Remove the manual work of monitoring and optimization so your data team can focus on higher-value initiatives instead of cost spreadsheets.
Visibility
A single, trusted view of every workload running in Snowflake, Databricks, or BigQuery. Track where each credit goes and how usage evolves over time. No more stitching together reports from three different consoles.
Insights
Continuous analysis finds optimization opportunities you'd miss manually. Inefficient queries, underutilized warehouses, emerging spend trends. The platform does the detective work so your team can act on what matters.
cost reduction
average ROI
cost visibility into every workload
Automated Savings
Warehouse utilization optimization runs continuously. No manual intervention required. Teams using PerfectScale typically see double-digit compute savings within the first two weeks across Snowflake, Databricks, and BigQuery.
Key Capabilities
From real-time monitoring to automated rightsizing, PerfectScale for Data Platforms covers the full optimization lifecycle for Snowflake, Databricks, and BigQuery.
Allocate usage by team or project and set budgets per group.
Alerts for anomalies and unexpected spend changes, instantly delivered.
Out-of-the-box integrations for deeper context across your data stack.
Automatically adjust warehouse configurations based on actual workload patterns.
Identify and fix inefficient queries that silently inflate your bill.
One tool for Snowflake, Databricks, and BigQuery cost management.
SELECT has made important cost data readily accessible. I will often pull it up during engineering design reviews so we can quickly evaluate cost impact and projections and factor that into our design decisions.
Douglas Zickuhr, Senior Data Platform Engineer at Personio
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 at Loop
You guys have the best UI experience that I've had of any software. It's like you just read my mind where, like, oh, I wish I could click there. Oh, I can
Diana Koshy, Sr. Director of Data Engineering at Kargo
SELECT feels like exactly what Paul and I would have built if we had locked ourselves in a room for 18 months to create our ideal monitoring solution.
Devin McGee, Data Engineering Lead at Home Chef
SELECT dramatically lowers the cognitive load to understanding Snowflake costs. I'm able to sit there and easily understand what's driving the cost. Not to blow smoke up your ass, but it's just so easy to do in your platform
Blake Baggett, Head of Data Operations at Entain
Instantly see cost drivers, anomalies, and savings potential.
