We’re excited to share that Cube has officially achieved Snowflake Ready Technology Validation, a recognition that underscores the strength of our integration with Snowflake and our shared vision for a more performant, consistent, and scalable data analytics ecosystem.

This milestone highlights not just a technical achievement, but a deepened commitment to all of teams that rely on Cube and Snowflake to power mission-critical data experiences—from BI dashboards to AI-powered applications.

A Seamless, Certified Experience on Snowflake

The Snowflake Ready Technology Validation is a rigorous third-party assessment of integration performance, functionality, and best practices. Cube has met and exceeded Snowflake’s benchmarks for reliability, security, and performance—meaning our platform is officially certified to help you get the most out of your Snowflake investment.

This validation sits alongside our Premier Tier status in the Snowflake Partner Network, placing Cube among a select group of technology providers recognized for their impact, innovation, and success in helping customers accelerate data outcomes.

“Data analytics is the lifeblood of any company,” said Kieran Kennedy, Global Head, Data Cloud Products at Snowflake. “Cube’s Technology Ready status reflects the company’s commitment to enhancing performance, increasing reliability, and deriving more value for joint customers.”

Built for the Modern Data Stack—and What Comes Next

Cube’s universal semantic layer integrates natively with Snowflake to support today’s full spectrum of data use cases: Modern OLAP, embedded analytics, enterprise BI, and AI-powered workflows. Whether you’re building trusted dashboards in Tableau and Power BI, operationalizing metrics in embedded data applications, or connecting governed data directly to an LLM, Cube acts as a translation and acceleration layer between the Snowflake Data Cloud and any downstream tool.

In our deep dive on the Snowflake + Cube architecture, we walk through how Cube enhances performance by reducing data sprawl, unifying business logic, and optimizing query orchestration—especially important for organizations managing dozens of tools and users across teams.

And if you’re exploring LLM-powered experiences with Snowflake, Cube can serve as the semantic layer that governs which metrics, models, and dimensions AI can access—ensuring both usability and security.

What This Means for You

When you pair Cube and Snowflake, you get:

  • Confidence: Cube is validated by Snowflake to meet their highest technical and performance standards.
  • Velocity: Our joint customers can move faster with fewer errors, more consistent data, and better alignment across teams.
  • Future-readiness: Whether you’re scaling BI or prototyping AI agents, Cube and Snowflake together offer a future-proof foundation for your analytics stack.

This achievement is part of our ongoing commitment to helping data teams modernize and scale their analytics infrastructure with trust, performance, and flexibility at the core.

If you’re building on Snowflake and looking to unlock governed, AI- and BI-ready data at scale—Cube is ready when you are. Contact sales to learn more.