Cube, the company bringing consistency, context, and trust to the next generation of data experiences, is debuting a series of innovations for Cube Cloud—Cube’s universal semantic layer—geared around enhancing data management and consumption. The new capabilities—from a next-gen data modeling engine to new data access policies, Cube Copilot, and more—address the present modeling, governance, productivity, and collaboration needs of enterprises.
Key to Cube’s latest innovations is bridging the gap between raw data and business comprehension, ensuring personas from data engineers to coworkers, customers, and machines can access trusted, governed data. From AI to BI, spreadsheets, and embedded analytics, Cube Cloud serves to centralize data modeling and governance while delivering customized, intuitive experiences.
“With the latest innovations, Cube’s universal semantic layer leapfrogs the competition by providing benefits tailored to the needs of technical decision makers, data analysts, and business users in addition to data engineers,” said Artyom Keydunov, co-founder and CEO of Cube. “The new Cube Cloud marks a step change in our flagship product, enabling organizations to solve more complex data problems, empowering data teams to work more efficiently together, and simplifying data discovery, access, and exploration.”
Some of the new capabilities for Cube Cloud include:
- Next-gen data modeling engine, Tesseract, improves performance with a new SQL Planner, as well as additional support for multi-stage calculations that allow enterprises to meet complex analytical needs
- Comprehensive, role-based access policies that integrate with external directory services and make data access secure, scalable, and tailored to an enterprise’s unique security and governance requirements
- Cube Copilot offers intelligent recommendations and streamlines data modeling tasks in code, enhancing data engineering team productivity and allowing them to focus on more important tasks
- Cube Visual Modeler delivers new no-code data modeling functionality that democratizes participation in defining data to those less technically inclined
- Semantic catalog enables the search of trusted data assets—now with column-/member-level lineage—and eases the process of locating and using the right data, ultimately cultivating a unified data plane that reduces errors and increases trust
To learn more about Cube’s latest capabilities, please visit https://cube.dev/.