Anomalo is Now MCD-Eligible on Snowflake Marketplace

Anomalo Is Now Available Through Snowflake Marketplace Committed Capacity and What That Means for Your Team

Getting a new data tool approved at an enterprise isn’t just a technical decision. It’s a procurement project. Even when the budget exists and the mandate is clear, spinning up a new vendor relationship means separate contracts, separate invoices, and separate conversations that slow down the time between “we need this” and “this is running in production.”

For Snowflake customers, that friction just got a lot less.

Anomalo is now MCD-eligible on Snowflake Marketplace

Both our Native App and Connected App listings are MCD-eligible. That means Snowflake customers can apply committed Snowflake capacity directly toward Anomalo, through the Marketplace, without a separate procurement process.

The procurement path aligns with the technical reality

Anomalo already lives where your data lives. Our Native App runs entirely inside your Snowflake environment. No data leaves, no separate infrastructure to manage. Our Connected App integrates directly with your Snowflake tables and works alongside the rest of your data stack. Either way, Anomalo isn’t a vendor you’re bolting on from the outside. It’s part of how you get reliable value from data that’s already in Snowflake.

Snowflake Marketplace Capacity Drawdown (MCD) eligibility closes the last gap. The procurement path now matches the technical reality: one platform, one contract, one committed capacity pool.

Data monitoring shouldn’t require a separate budget conversation from the platform your data runs on. Now it doesn’t.

What Anomalo does inside Snowflake

For teams evaluating this for the first time: Anomalo is the autonomous data system platform that monitors your Snowflake data at the content level across billions of rows, using AI that learns what normal looks like without anyone writing rules or setting thresholds.

When something meaningful changes in your data, Anomalo finds it, investigates it, and surfaces it before a stakeholder notices or a downstream model breaks. A few capabilities worth knowing:

• Automated, AI-driven monitoring: across your Snowflake tables. No rules to write, no manual configuration to maintain. The system learns your data’s behavior and alerts on meaningful deviations.
• Proactive Insights: a fully autonomous agent that continuously monitors your data, identifies meaningful changes, and delivers analyst-grade reports before anyone asks.
• AIDA, Anomalo’s conversational analytics agent: Ask questions about your Snowflake data in plain language and get SQL, visualizations, and grounded answers in seconds.

One thing worth noting for teams already using Snowflake’s native data monitoring features: Anomalo monitors at the content level across billions of rows using AI. That’s a fundamentally different approach from metadata-level checks, and it works across your full data estate, not just Snowflake. It’s also why Snowflake recommends Anomalo to their enterprise customers.

Who benefits

If you’re a Snowflake customer with committed capacity: If your team has been evaluating ways to improve data reliability, reduce manual monitoring burden, or prepare your data layer for AI agent deployments. This removes the last procurement barrier. You can get started directly through the Marketplace listing.

The window to get this right is shorter than most teams realize

Every AI agent your organization deploys for pricing, churn prediction, supply chain optimization, or anything else, is only as reliable as the data it consumes. Getting your Snowflake data to a place where it can be trusted and acted on autonomously isn’t a future project. It’s the foundational work that determines whether your AI investments pay off.

The fastest way to get there just got a lot simpler.

Get started on Snowflake Marketplace →

Questions? Check out the Snowflake Summit page and request a demo.

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