Dremio, the agentic lakehouse company, is launching Dremio Cloud, an agentic lakehouse that ushers in a new generation of data lakehouse platforms to empower artificial intelligence.
Unlike other offerings, “Dremio Cloud transforms legacy-based data infrastructures into a self-managing platform that continuously learns, adapts, and optimizes without human intervention,” according to the company.
Dremio Cloud positions agents as a first-class operator—not a copilot or sidecar—creating an autonomous platform that seamlessly serves AI agents, applications, and users.
Dremio’s agentic platform delivers everything AI agents need to succeed, including:
- Unified and governed data access: Dremio’s Open Catalog, built on the open-source Apache Polaris project—which Dremio co-created—makes it simple to catalog and govern all data across lakehouses and databases. Data is accessible through Dremio’s Intelligent Query Engine, which features Zero-ETL federation and both structured and unstructured data processing.
- AI semantic layer: Dremio’s deeply integrated semantic layer acts as a living encyclopedia for the business. It provides the crucial context AI needs to avoid hallucinations and deliver accurate insights.
- AI gent: With its own AI Agent, Dremio Cloud makes it simple for business users and data analysts to ask questions and get high-quality answers and visualizations in seconds.
- Agent choice through MCP: Dremio Cloud natively supports the open Model Context Protocol (MCP), allowing any MCP-enabled AI agent from providers like Anthropic, OpenAI, and Google to connect to Dremio.
Dremio Cloud introduces autonomous capabilities that significantly enhance the productivity of data engineers with:
- Active metadata
- Enhanced semantics
- Materializations and query rewrite
- Clustering
Read the full story, via DBTA.
