Scaling Trust on Snowflake: How Discover Monitors Its Petabyte-Sized Data Footprint with Anomalo

As one of the largest digital banking and payments companies in the U.S., Discover Financial Services operates at a scale where data quality is critical. Last year in 2024, the Fortune 500 leader processed over $600 billion in payments across 200+ countries and territories through its vast network. With data flowing in from across the business, the challenge wasn’t simply collecting data: it was ensuring that its petabyte-sized data warehouse could be trusted.

Snowflake as the Foundation

Discover has embraced Snowflake as a central pillar of its modern data stack, supporting both analytics and operational use cases across the organization. With terabytes of daily inflow, the Discover team needed a scalable, automated way to monitor data quality across thousands of tables — without relying on manual rules or reactive firefighting.

Where Anomalo Comes In

When Discover began evaluating Anomalo, their centralized enterprise data platform team estimated it would take 25 years(!) to reach full data quality coverage using traditional approaches. By implementing Anomalo, Discover’s enterprise data platforms team flipped that script, achieving wide-scale observability across their most critical datasets.

“We can now configure unsupervised data quality monitoring within 10–15 minutes for a dataset. We see flourishing adoption and continue to integrate the platform across our entire organization.” – Prakash Jaganathan, Senior Director of Enterprise Data Platforms at Discover

Monitoring Snowflake with Alation for End-to-End Context

Anomalo integrates natively with Discover’s Snowflake environment to automatically detect data issues without needing pre-written rules. From unexpected null spikes to schema drift or sudden distribution changes, anomalies are flagged and visualized proactively. This allows teams to investigate issues before they cause downstream business impact.

Discover also leverages Anomalo’s tight integration with Alation, an enterprise data catalog, to extend data quality visibility to data consumers. With data quality insights now available where business users discover and explore data, Discover ensures that trust and transparency are baked into every decision.

Today, Discover uses Anomalo to monitor:

• 100,000+ columns
• Thousands of tables
• Billions of rows of data, flowing in daily
  

Thanks to Anomalo’s AI-powered data quality platform built with machine learning first, they’ve scaled new data sets automatically, without rewriting rules for every dataset. The result: a scalable, trusted foundation for data-driven initiatives across the business.

Built for the AI Data Cloud, Backed by Snowflake

Discover’s success with Anomalo reflects a broader shift happening across the Snowflake ecosystem. As data volumes grow and pipelines become more complex, the need for automated, scalable data quality monitoring has never been more urgent. 

That’s why just last month, Snowflake Ventures invested in Anomalo, recognizing our enterprise data quality platform as the leading solution to help Snowflake customers trust their data without writing a single rule. Anomalo’s deep integration with Snowflake, combined with AI-driven anomaly detection, gives data teams the power to monitor petabyte-scale data across thousands of tables, without slowing down development or adding operational burden. 

Whether you’re just starting your data quality journey or scaling to support enterprise-wide analytics, Discover’s results with Anomalo proves what’s possible when data trust becomes a foundational layer of your Snowflake environment. Learn more about Anomalo’s recent milestones with Snowflake in this on-demand webinar with my colleagues Garrett Grozak and Jonathan Karon, covering Anomalo’s Snowflake Ready Validation and industry-leading Snowflake Native App, which was built 100% on Snowpark Container Services for ultimate enterprise-grade security and peace of mind.

Ready to see how Anomalo can transform your data quality strategy on Snowflake?

Request a demo to see how Anomalo brings trusted data to your Snowflake environment. Or, hear about Discover’s Anomalo deployment directly from Prakash.