Announcing Snowflake Ventures’ Strategic Investment in Anomalo: Reinventing Enterprise Data Quality for the AI Data Cloud

Businesses rely on vast amounts of data to drive decision-making, personalize customer experiences, and power AI-driven innovations. But there’s a catch: if the data isn’t high quality, everything built on top of it (be it analytics, AI models, or business applications) can fail. 

Snowflake Ventures is investing in Anomalo — a significant milestone in our collaboration and a clear signal that data quality is mission-critical for enterprises. Not only is Anomalo just the second vendor in their data observability category to receive backing from Snowflake Ventures, we’re also the only stand-alone, enterprise-grade data quality platform to earn this distinction. Together, Anomalo and Snowflake are helping enterprises go beyond basic data observability and unlock enterprise-scale, AI-powered data quality monitoring.

This investment comes at a time of record growth for Anomalo. The number of Fortune 500 Snowflake customers using Anomalo grew by 200% in the last year, including several of the world’s largest financial services, retail and media companies. 

Anomalo: Born from Snowflake’s Vision for the AI Data Cloud

Global enterprises now manage petabytes of structured and unstructured data. It’s growing every day and is spread across organizations, projects, and AI-first workloads. Snowflake revolutionized how global enterprises manage and activate their data in the cloud. But this explosion of data surfaced a new challenge: the more data and the more teams using it, the greater the risk of data quality issues. Traditional, rules-based approaches to data quality simply can’t keep up. They are too time-consuming to create, expensive to maintain, and prone to ‘unknown unknowns’ that leave businesses exposed to data failures.

That’s where Anomalo comes in. Instead of rules, Anomalo uses unsupervised machine learning to automatically detect and explain data issues before they impact downstream analytics or AI teams. Snowflake’s AI Data Cloud effortlessly supports Anomalo’s ML-first approach, which offers proactive and automated data quality monitoring across the enterprise.

Supporting Enterprise Customers in the AI Data Cloud

Anomalo’s rapid rise within the Snowflake ecosystem reflects the value for joint customers. The logic is simple: less time spent building manual rules and firefighting data issues means more time spent building and activating cutting-edge use cases on Snowflake.

As Harsha Kapre, Director at Snowflake Ventures, explains, “Anomalo is one of our fastest-growing data quality partners, fueled by their adoption among large enterprises. Given the scale at which these businesses leverage Snowflake for data and AI, Anomalo’s automated approach to data quality has become a key piece of the puzzle for enterprise customers.” 

Snowflake customers agree. Today, the majority of Anomalo’s customers utilize Snowflake’s AI Data Cloud, including Fortune 500 leaders like Discover Financial and Block. 

One of our first customers, Discover Financial, understood this promise and has scaled their business on both Snowflake and Anomalo.

At Discover, we provide our customers with a large suite of digital banking and payment services products. These products and services generate petabytes of data based on every transaction and decision. Maintaining the quality and integrity of this data as it persists and moves through our organization’s systems is crucial to our operations and compliance. Anomalo’s ML-first approach to automated data quality has proven to be the best-of-breed solution capable of seamlessly handling our enterprise’s scale and complexity as we continue to grow on the Snowflake AI Data Cloud.

– Prakash Jaganathan, Senior Director of Data and Analytics Engineering at Discover

Better Together: Data You Can Trust, AI You Can Scale

Anomalo has continued to innovate with Snowflake over the years. Since launching our Snowflake integration, our partnership has earned Snowflake Premier Partner status, achieved Technology-Ready Validation, and launched one of the first fully containerized data quality Snowflake Native App on Snowflake Marketplace. 

With Anomalo’s Snowflake Native App, customers can deploy Anomalo entirely within a customer’s Snowflake environment for ultimate enterprise-grade security. This means faster, more scalable, and more seamless data quality monitoring for enterprises that depend on Snowflake. This adds to Anomalo’s flexible deployment architecture as we already supported SaaS, Hybrid SaaS and in-VPC, making it easy for the most privacy- and security-conscious enterprise customers to use Anomalo. And with the launch of Anomalo’s Unstructured Monitoring product, customers can now monitor unstructured documents to ensure they are fit for purpose for Generative AI use cases.

Receiving this investment reinforces the differentiated value of Anomalo’s machine learning approach to data quality monitoring, especially with large enterprises in highly regulated industries. We look forward to deepening our collaboration with Snowflake across key customer use cases and are excited for this next chapter in helping enterprises unlock the full potential of their data and AI assets.

Ready to transform your approach to enterprise data quality? Let’s talk.

Or learn more about our best-in-class integration with Snowflake and register for our upcoming webinar.