AnomalyArmor vs Bigeye
Bigeye ships deep ML-driven monitoring behind an enterprise quote. AnomalyArmor ships the signals that actually page someone, at $5 a table, with a credit card.
When Bigeye is the better call
Bigeye fits if you need broad, tunable ML models across many bespoke signal types and deep integrations with legacy catalogs. For teams whose core need is "know when tables break and alert Slack," AnomalyArmor covers that surface for roughly a tenth of the cost.
Bigeye has genuine ML depth. If your team runs a data-reliability function whose core competence is tuning anomaly models across dozens of bespoke signal types, Bigeye is purpose-built for that. AnomalyArmor is narrower on purpose — the five alert types we cover account for the bulk of incidents we see.
Bigeye vs AnomalyArmor
Where we overlap, where we are different, and where Bigeye wins.
| Feature | Bigeye | AnomalyArmor(you are here) |
|---|---|---|
| Published pricing | Quoted | $5/table/month |
| Self-serve signup | ||
| Schema drift | ||
| Freshness SLAs | ||
| ML anomaly detection depth | Deep ML | Statistical baselines |
| Portable config (ODCS) | ||
| Catalog integrations | Deep | Limited |
| Migration path | — | Via API recipe |
The pricing delta
Bigeye is sold via annual contracts; public pricing is not published and mid-market quotes commonly land in the $40k–$100k/yr range. AnomalyArmor is $5 per monitored table per month, no minimum.
Bigeye does not publish pricing. Mid-market teams we have talked to report quotes starting around $40k/year and climbing to six figures for larger deployments. The gap versus AnomalyArmor is not volume discount — it is a different go-to-market: annual contract with a security review and procurement cycle versus self-serve with a credit card.
What is different, specifically
- Self-serve vs quoted. Sign up with a credit card and monitor tables within the hour. Bigeye requires a sales call, security review, and procurement cycle to pilot.
- Portable ODCS config. Every monitor in AnomalyArmor exports as Open Data Contract Standard YAML — version-controllable in Git, portable to any ODCS-aware tool. Bigeye monitors live inside their platform; leaving means rewriting.
- Migration recipe. We publish a best-effort import path at /migrate/bigeye that reads your Bigeye monitors via their API and emits ODCS YAML. Not one-click for every monitor type, but gets most teams 80% there in an afternoon.
- Narrower by design. We cover freshness, volume, schema drift, null/uniqueness anomalies, and custom SQL — the alert types that account for the bulk of data incidents. Bigeye covers a broader ML surface.
Skip the procurement cycle
Connect your warehouse and see alerts this afternoon. Export your Bigeye monitors and translate to ODCS on the way in.
Bigeye vs AnomalyArmor