What is Dremio Cloud?
Dremio Cloud is the agentic lakehouse—a fully managed platform built for AI agents and managed by AI agents. It unifies data across lakes, warehouses, and databases while automating platform and data operations through autonomous workflows.
Unlike traditional systems that require constant tuning and manual operations, Dremio Cloud continuously learns, adapts, and optimizes without human intervention. This creates a self-managing environment where AI agents, applications, and users can seamlessly access consistent, governed data.
Core Capabilities
AI Agent: Dremio Cloud includes a native AI agent integrated with the catalog and governance controls. The agent can discover datasets, generate queries, and help both technical and non-technical users move from questions to repeatable assets quickly. It reduces complexity by automating routine analytics tasks while operating within enterprise security and governance.
AI Semantic Layer: The semantic layer acts as a living dictionary for business entities, metrics, and relationships so agents and analysts share the same context. This reduces ambiguity, prevents hallucinations, and improves accuracy in both AI-generated and human-authored queries. Because definitions travel with the data, consistency is enforced across tools and users.
Unified Data Access: Dremio Cloud provides live access to data across lakes, warehouses, and databases without ETL pipelines or copies. Structured, semi-structured, and unstructured data can be queried together in real time, and built-in AI functions let you process formats such as PDFs and images directly in SQL workflows. At the foundation is Dremio's Open Catalog, built on Apache Polaris and co-created by Dremio. This ensures interoperability with engines like Spark and Trino, integration with catalogs such as AWS Glue and Unity Catalog, and fine-grained role-based access controls.
Autonomous Management: The platform delivers consistent sub-second performance without manual tuning. Features such as Autonomous Reflections act as an intelligent cache that adapts to workload patterns, while Iceberg clustering and automatic table optimization continuously organize data to address skew and small files. These optimizations happen transparently—no changes to applications or hand-tuning required.
Why It Matters
Dremio Cloud gives AI agents and humans a unified, governed foundation for analytics and decision-making. The AI Semantic Layer ensures a consistent business context, while Autonomous Management capabilities deliver fast, reliable performance across all data. Built on open standards—Apache Iceberg, Apache Polaris, and Apache Arrow—Dremio avoids lock-in while supporting the scale, speed, and trust required for agentic workloads.