In today’s data-driven world, organizations depend on high-quality data to drive accurate analytics and machine learning models. But poor data quality — gaps, inconsistencies and errors — can undermine even the most sophisticated data and AI initiatives. According to a new report by MIT Technology Review Insights, done in partnership with Snowflake, more than half of those surveyed indicated that data quality is a top priority. That’s why Snowflake Ventures is making an investment in our partner Anomalo, an advanced data quality monitoring platform that uses artificial intelligence and machine learning to automatically detect and explain issues in enterprise data. Anomalo ensures that businesses can trust the data fueling their decisions and models.
Anomalo’s automated AI technology detects upstream data quality issues in a customer’s data tables, views and pipelines. With built-in root cause analysis, it quickly identifies the source of the problem, mitigating impact on data operations across the scope of the business. Anomalo continues to reinvent enterprise data quality with the release of its new unstructured data quality monitoring product and is laying the data foundations for generative AI. As of December 2024, more than 60 percent of Anomalo’s customers are on Snowflake, including large enterprise customers such as Discover Financial Solutions and Block.
“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,” says Prakash Jaganathan, Senior Director of Data and Analytics Engineering at Discover. “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.”
The AI Data Cloud already helps customers continuously monitor data quality metrics across multiple dimensions including completeness, accuracy, uniqueness and validity through the data metric functions (DMFs). Anomalo’s automated AI data quality software enables customers to go a level deeper using unsupervised ML.
This partnership underscores Snowflake’s commitment to fostering innovation and delivering transformative capabilities for our joint customers. With this investment, Snowflake and Anomalo will deepen their collaboration through integrations across key Snowflake technologies. This includes integrating Snowflake DMFs into Anomalo’s automated monitoring platform, leveraging Snowflake Cortex AI to enhance Anomalo’s AI capabilities and further investing in the Snowflake Native Apps Framework and Snowpark Container Services to enable a seamless integration experience for Snowflake customers.
Anomalo was founded in 2018 by two Instacart alumni, Elliot Shmukler and Jeremy Stanley. While working together, they bonded over their shared passion for data. After experiencing numerous data quality challenges, they created Anomalo, a no-code platform for validating and documenting data warehouse information.
For years, Anomalo has made it easy for Snowflake customers to monitor any Snowflake table or view. Last year, Anomalo announced its availability on Snowflake Marketplace and its Snowflake Native App that is fully containerized within Snowpark Container Services. This deployment mode is well suited to large enterprise configurations, as it ensures that 100% of data remains in a customer’s Snowflake environment when monitoring for data quality issues. Anomalo is a Premier partner in the Snowflake Partner Network, securing Snowflake Ready Validation while integrating seamlessly with Snowflake Horizon.
We look forward to the enhanced capabilities this closer partnership will provide for our customers. To get started with data quality monitoring now, Anomalo’s Snowflake Native App is available in Snowflake Marketplace.
