Anomalo’s AI-powered data quality platform achieves Snowflake Ready Validation

For modern enterprises, data isn’t just a resource: it’s the backbone of business-critical decisions, products, and operations. But what happens when that data isn’t reliable? Undetected anomalies, missing values, or incomplete information can ripple through analytics dashboards, machine learning models, and customer experiences, costing organizations time, money, and trust. 

This is why Anomalo exists: to ensure enterprise data is always accurate, actionable, and ready to power the decisions that matter. Today, we’re proud to announce a new milestone in our collaboration with Snowflake, the AI Data Cloud company: Anomalo has achieved the Snowflake Ready Technology Validation. 

Data insights, analytics dashboards, and Gen AI projects are only as reliable as the data they ingest, so this validation underscores our commitment to delivering data quality consistent with Snowflake’s best practices for performance, reliability, and security. 

“Some of Anomalo’s most forward-thinking customers, like Discover Financial, heavily use Snowflake and Anomalo to jointly power their data needs. We are thrilled to receive this validation as it confirms for all Snowflake customers that Anomalo is highly optimized for the cloud data warehouse platform they have chosen. Along with our Snowflake Native App, this ensures that all Snowflake enterprise customers can securely leverage Anomalo within the Snowflake ecosystem and get the most out of their data and AI investments.”

– Elliot Shmukler, co-founder and CEO of Anomalo

Unlock the full potential of your Snowflake data estate

Snowflake is the cornerstone of many enterprises’ data strategies, providing best-in-class storage, analytics, and scalability for critical workflows. Snowflake customers rely on their data for everything from business intelligence to product development to AI innovation. But without high-quality data, these workflows fall short of their potential. 

Anomalo’s integration with Snowflake ensures that customer data is reliable and AI-ready at scale. By combining AI-driven anomaly detection with automated monitoring and alerting, Anomalo automatically scans your Snowflake environment to detect and diagnose data quality issues before they impact downstream data and business teams. Whether you’re a Data Analyst who needs to monitor data on your business or product line to extract insights and identify issues in such data or a Data Governance leader who is democratizing governed access to data across your organization, Anomalo ensures your Snowflake data is always ready to drive business value.

Another milestone in Anomalo and Snowflake’s collaboration, built on customer needs

Anomalo’s customers, like Block, Discover Financial, and Included Health, require the highest levels of data quality. With this in mind, Snowflake and Anomalo have made deep investments to guarantee mutual customers can efficiently monitor data quality at scales. With a partnership dating back to 2022, this validation highlights many previous achievements and milestones. 

Earlier this year, Anomalo announced its availability on the Snowflake Marketplace. Anomalo became the first company within the data observability category to build a Snowflake Native App fully containerized within Snowpark Container Services. This deployment mode is well suited to large enterprise configurations and ensures that 100% of data remains in a customer’s Snowflake environment when monitoring data quality. A Native App deployment naturally expands on Anomalo’s support for data monitoring in the Snowflake AI Data Cloud, which has been available since 2023, and on Anomalo’s availability as part of the Snowflake Horizon partner ecosystem.

Previous recognitions and validations include Anomalo’s achievement of Snowflake Premier Partner Status earlier this year.

“This validation builds on their existing momentum in the enterprise data quality monitoring space and highlights Anomalo’s continued investment in its integration with Snowflake. Together, we’re building a platform built for every member of the data team, and empowering customers to make confident, data-driven decisions with reliable and secure data.”

– Tarik Dwiek, Head of Technology Alliances at Snowflake

Today, achieving the Snowflake Ready Technology Validation confirms that Anomalo meets Snowflake’s highest standards for reliability, security, and performance.

Turning quality data into business impact

Anomalo combines user-defined parameters with AI-driven automated monitoring to deeply analyze data, detect anomalies, and notify users of irregularities. Our proactive alerts and root-cause analysis empower teams to quickly resolve issues, ensuring bad data doesn’t disrupt business operations. Depending on where and how you work, Anomalo can be deployed into the Snowflake ecosystem using one of three different deployment options:

1. As a deeply integrated, Snowflake-centric native app

2. As a secure, SOC 2-certified SaaS application

3. As an internal to a virtual private cloud (VPC) deployment, where data is always contained within a customer’s environment.

All three deployment modes keep customer data secure and data processing standards compliant. 

With deployment in as little as five minutes, Anomalo ensures your Snowflake data works as hard as you do. Once enabled, Anomalo enables enterprises to automatically detect, monitor, and pinpoint the root causes of data quality issues across even the most complex data. This ensures that the data powering their products and decisions is dependable, fostering confidence in building and scaling with reliable insights.

To join the ranks of AI-ready enterprises building on trusted data, find us on the Snowflake Marketplace, or request a demo with Anomalo or Snowflake.