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Anomalo wins Databricks Emerging Partner of the Year award

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At the Data + AI Summit 2024, Anomalo announced that it has received the Databricks Emerging Partner of the Year Award.

Roger Murff, VP of Technology Partners at Databricks, said: “I am thrilled to announce Anomalo as our Emerging Partner of the Year. Anomalo has demonstrated innovation and commitment to data quality to help organizations build data-driven cultures and democratize data and AI. Anomalo’s AI-powered data quality monitoring has enabled our customers to ensure the accuracy and reliability of their data, empowering them to make better, more informed decisions and build high-performing, data-driven applications. We look forward to continuing our successful collaboration and driving even greater value for our mutual customers.”

Anomalo and Databricks first partnered in 2022 and have joint customer wins across every major vertical. Tim Ng, data products engineering lead at joint Anomalo and Databricks customer Block, said: “Anomalo has been the silver bullet in helping us promote trust in data across our organization. The product makes both my data engineers and data consumers happy as it means less time firefighting issues and more time using data to build products our customers love.”

Earlier this year, Databricks Ventures announced it invested in Anomalo, as one of its strategic AI investments.

“In today’s data-driven world, ensuring the highest standard of data quality is essential for any enterprise application. Anomalo’s platform ensures that any data issues can be detected and resolved quickly, enabling data teams to spend less time dealing with data issues and more time making better products and experiences for their customers. We are thrilled to be named the Databricks Emerging Partner of the Year and see it as a testament to our commitment to delivering exceptional data quality solutions for enterprises leveraging the Databricks Data Intelligence Platform,” said Elliot Shmukler, co-founder and CEO of Anomalo.

Anomalo’s AI-powered data quality monitoring automatically detects data quality issues and their root causes before they affect business intelligence dashboards and reports or downstream AI models. This capability seamlessly integrates with the Databricks Data Intelligence Platform, supporting technologies such as Delta Lake and the Unity Catalog. As one of the earliest Partner Connect integrations, Anomalo also lets Databricks customers experience the power of Anomalo on a trial basis directly within their Databricks UI.

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Monika Chauhan
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