Onboarding was quick, and the instant insights made our spend management much more efficient. It’s an absolute no-brainer to add to a Snowflake stack.
Gary James, Beauty Pie
Every credit, every query. Accounted for.
Cost visibility down to the query and workload across Snowflake, Databricks and BigQuery, with savings that run automatically on top.
Snowflake · Databricks · BigQuery · Live in minutes
Data platforms · October
$381K, every query accounted for
Snowflakecredits$184K−17%
DatabricksDBUs$121K−24%
BigQueryslots$76K18% idle slots
Most expensive workloads
dbt_prod.fct_ordersSnowflake · TRANSFORM_WH$21.4K
nightly_feature_buildDatabricks · jobs compute$14.9K
looker_exec_dashboardBigQuery · bi-reservation$9.8K
Savings runningWarehouses and clusters adjusted 1,284 times this month. No queries slowed down.
Trusted by data teams at hundreds of companies
from credits to queries
Not just a bill. Every workload behind it.
See which teams, workloads and queries drive spend on every platform, then let automated optimization and insights capture the savings.
Start a free trialUsage groups · October
Cost by team, not by warehouse
Analytics engineering$118K
Data science$96K
BI and reporting$74K
Product analytics$51K
SnowflakeDatabricksBigQuery
Allocate by team or project and set a budget per group.
your invoice shows credits
We show the query behind them.
Data platform bills arrive as credits, DBUs and slot-hours with no team, query or reason attached. We break every dollar down to the workload that spent it, so the fix is obvious and the owner is clear.
The invoice says
“52,400 credits. $184,000.”
No team, no query, no reason. Just a number that went up again.
We say
“One dbt model is $21K of it.”
Querydbt_prod.fct_orders
OwnerAnalytics engineering
FixSwitch to incremental
Data engineering
The expensive models, named.
Analytics
Cost next to every dashboard.
FinOps
Data spend by team.
Leadership
Savings you can see.
built for data teams
Everything data cost management needs
Query-level cost
Every warehouse, job, query and user, priced.
Automated savings
Warehouses and clusters adjusted continuously.
Optimization insights
Inefficient queries and oversized resources, surfaced.
Usage groups
Allocate spend by team or project and set budgets.
Real-time monitors
Anomaly alerts with the query attached.
One tool, three platforms
Snowflake, Databricks and BigQuery side by side.
up and running in minutes
How PerfectScale for Data Platforms works
1
Connect your platform.
Read-only access to usage metadata. Most teams are live in under 15 minutes.
2
See every workload.
Cost by warehouse, job, query, user and team, from day one.
3
Let savings run.
Automated optimization and insights find and capture savings continuously.
SOC 2 Type 2, ISO 27001, FinOps Certified Platform.
Book a demoStart free trialReduced Snowflake costs by 40% in two weeks
40%
Cost reduction
2 weeks
Time to results
What they say
The fast and seamless integration effortlessly optimized our Snowflake warehouses, and we immediately saw a noticeable 20% reduction in our bill.
Aaron Siegel, Chili Piper
PerfectScale provides our team with complete visibility into every aspect of our Snowflake bill and usage. We use it regularly to monitor costs and get alerted to key changes.
Jonathan Talmi, Super
PerfectScale makes important cost data readily accessible. I pull it up during engineering design reviews so we can evaluate cost impact and projections as part of the decision.
Douglas Zickuhr, Personio
We finally got visibility into all the jobs driving consumption and, in many cases, could simply turn them off after talking with the right business stakeholders.
Rory Vigus, Synthesia
The weekly spend digest in Slack lets me start high level, drill into the workloads behind a cost spike, and remediate them before they become a bigger issue.
Michael Revelo, ClickUp
We got up and running in about 20 minutes and dropped our usage by 15% in just two days. Our team could focus on valuable business initiatives instead of building its own cost monitoring.
Marcus Wong, Clearco
Monitoring and lineage helped us find a job running more often than its upstream dataset was populated. Four lines of code prevented an $800,000 yearly workload from costing more than $50,000.
Skyler Chi, Exiger
I love clicking through PerfectScale to understand how our environment and workloads are evolving. I check it every day. It’s coffee and PerfectScale for me every morning.
Ian Fahey, Loop
Every credit accounted for. Every saving captured.
Connect in minutes and see your savings potential.