DataOps.live Forms Strategic Alliance with Snowflake to Streamline DevOps for Data Teams

DataOps.live

DataOps.live, a leading DataOps platform provider, has entered into a strategic partnership with Snowflake, the Data Cloud company, to enhance the delivery of frictionless DevOps practices across the Snowflake ecosystem.

The collaboration aims to empower joint customers with a robust foundation for scalable, compliant, and automated data product development on the Snowflake Data Cloud. By aligning their capabilities, the two companies are making it easier for organizations to accelerate data initiatives while maintaining governance and operational efficiency.

“This partnership reflects our shared commitment to innovation and our belief in empowering customers with the tools they need to build, test, and deploy data products with the same rigor and efficiency as software applications,” said Justin Mullen, Co-Founder and CEO of DataOps.live.

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Through the partnership, Snowflake customers will benefit from DataOps.live’s enterprise-grade automation tools for orchestrating complex data pipelines, supporting Data Mesh and Data Fabric architectures, and accelerating the development lifecycle. These capabilities are critical for organizations seeking to build trusted, production-grade data products at scale.

DataOps.live has been a longstanding technology partner in the Snowflake ecosystem. This new strategic designation underscores both companies’ focus on improving productivity for data teams and helping enterprises embrace modern data engineering best practices.

“The opportunity for companies to deliver secure, reliable, and high-quality data products faster and with less friction has never been greater,” said Tarik Dwiek, Head of Technology Alliances at Snowflake. “Our partnership with DataOps.live enables customers to make this a reality and truly operationalize the power of the Data Cloud.”

This move comes amid a broader industry push to apply DevOps principles to data, helping data teams adopt agile, automated, and collaborative workflows that improve time-to-insight and reduce operational risk.