Catch Cost Spikes and Drops Before They Become a Real Problem
Cost Anomaly Detection
Cloud platforms like Snowflake make scaling effortless, and that’s exactly what makes costs so easy to lose track of. A quiet change somewhere in your environment can turn into a real budget problem weeks before anyone notices, unless something is actually watching. Anomaly Detection is that watch: it keeps your costs where they belong, and the moment something drifts, it doesn’t just flag the number, it hands you the root cause analysis (RCA) already worked out, the exact reason behind it, instead of your engineers losing days chasing one down. That’s real time back for building and innovating, not firefighting cost mysteries.
Seemore Cost Anomaly Detection in Action
Catches what's genuinely unusual, not just what's different
Costs naturally go up and down; the goal is catching what actually deviates from your normal pattern, so real cost control doesn’t depend on someone happening to notice.
- Every day, spend across your accounts, warehouses, and services, including AI services, is compared against the last 14 days of your own cost history, so “normal” is defined by your real pattern, not a generic rule
- Anomalies are classified as a spike (cost increased significantly) or a drop (cost decreased significantly), and given a severity based on how far they deviate from that baseline
- High-severity anomalies represent the most significant deviations, so you know which ones deserve attention first, and which ones can wait
Root cause analysis that replaces days of investigation with an immediate answer
Knowing something cost more is only useful if you know why, and that’s usually the part that eats an engineer’s week.
- Anomalies can be tracked at the account level, the warehouse level, a cloud service (including AI services), specific pipeline jobs, or individual queries, so the root cause analysis pinpoints exactly where the cost came from
- Each anomaly comes with the exact dollar impact and a timeline against your baseline, so you see precisely what happened and how much it mattered
- Want to go further? Keep the investigation going in plain language with Seemore Assistant, no need to write a single query yourself
Set the rules once, then get real peace of mind
You shouldn’t have to keep checking whether something’s wrong; you should know Seemore will tell you the moment it is.
- Start with default rules that automatically watch your most expensive warehouses per account, no setup required
- Set your own rules at the account or warehouse level, with a minimum dollar threshold so small, insignificant changes don’t trigger a notification
- Choose exactly which accounts or warehouses each rule applies to, so monitoring matches how your environment is actually organized, and stays out of your way otherwise
A shared conversation that builds a cost-aware team, not just a lone alert
An anomaly that only one person sees stays one person’s problem. A shared thread turns it into something the whole team notices, discusses, and learns from together, which is exactly what builds a genuinely cost-aware team over time.
- Alerts go wherever your team already works, Slack, email, or Microsoft Teams, so everyone who needs to see an anomaly sees it at the same time, not just whoever happened to check
- Each anomaly carries its own status as it gets worked, and can be assigned to whoever should own it, so nothing gets lost after the first alert
- That shared visibility and tracking is what keeps anomalies from slipping through the cracks, saving both the time and the cost a missed one would have added up to
Frequently asked questions
What is Seemore Data's Cost Anomaly Detection?
An automation that watches your Snowflake compute spend every day, compares it against your account’s own recent history, and flags anything that genuinely stands out, a cost spike or an unexpected drop, before it turns into a real budget problem.
How does it decide what counts as an anomaly?
Each day’s spend is compared against the last 14 days of your own cost history, so “normal” is based on your actual pattern, not a generic industry rule. A cost is flagged as a spike or a drop and given a severity based on how far it deviates from that baseline.
Does it just tell me a cost changed, or does it explain why?
It explains why. Every anomaly comes with a root cause analysis (RCA) that pinpoints exactly where the cost came from, whether that’s an account, a warehouse, a specific pipeline job, or an individual query, along with the exact dollar impact and a timeline against your baseline.
Can I dig deeper into an anomaly myself?
Yes. You can continue the investigation in plain language through Seemore Assistant, without writing a single query yourself.
Will I get alerted for every small fluctuation in spend?
No. You can set a minimum dollar threshold per rule, so small, insignificant changes don’t trigger a notification, and you only hear about what’s actually worth your attention.
Do I need to configure anything to get started?
No. Default rules automatically watch your most expensive warehouses per account from day one. You can also create your own rules at the account or warehouse level whenever you want more specific coverage.
Where do the alerts get sent?
Wherever your team already works. You can choose Slack, email, or Microsoft Teams, so everyone who needs to see an anomaly sees it in the same place at the same time.
Who can view anomalies, and who can change the detection rules?
Anyone on the team can view anomalies and their root cause analysis. Creating or editing detection rules requires an admin role, so configuration stays under your team’s control.
