WHY DREMIO
The Intelligent Lakehouse Platform
Reinventing the data warehouse - for the AI era
Unified Data ◼ Autonomous Performance ◼ AI-Ready Data Products
Unified Data
Autonomous Performance
AI-Ready Data Products
Trusted by thousands of enterprises
























Enterprise Data Challenges
Dremio Solves
AI and analytics initiatives face significant delays due to the time-intensive process of dataset creation. Data engineering teams are overburdened, disconnected data sources require complex ETL processes, and prolonged iteration cycles with business stakeholders slow progress.
Data Silos & Fragmentation
Critical data remains trapped in disconnected systems, causing IT bottlenecks and reliance on constant extracts, which hinders AI and analytics initiatives.
Complex Data Management
Complex deployment, resource-intensive management, and manual operations that increase costs and slow down innovation.
Poor Data Governance & Quality
Complex deployment, resource-intensive management, and manual operations that increase costs and slow down innovation.
Solutions with Dremio
Accelerate AI and Analytics with Dremio
Dremio eliminates bottlenecks by unifying data sources without ETL, simplifying the creation of high-quality, governed datasets, and delivering autonomous performance optimization to accelerate AI.
Solutions with Dremio
Accelerate AI and Analytics with Dremio
Dremio eliminates bottlenecks by unifying data sources without ETL, simplifying the creation of high-quality, governed datasets, and delivering autonomous performance optimization to accelerate AI.
Unified Data
Autonomous Performance
AI-Ready Data Products
Focus on AI, not data engineering. Replace manual partitions, pipelines, and transformations with intelligent performance management.
- Autonomous Reflections (replaces pre-calculated tables, BI extracts, cubes)
- Iceberg Clustering (replaces manual partitioning)
- Automatic Table Optimization
- Fastest Iceberg SQL engine
Reduce Data Management Complexity

Unify access to enterprise data for agentic workflows through a lakehouse architecture - no ETL required.
- AI-enabled, unified semantic layer
- Advanced query federation across data sources and clouds (lakes, catalogs, warehouses, RDBMS, NoSQL)
- Virtual data integration (no ETL required)
Eliminate Silos & Fragmentation

Easily discover data and develop curated, governed datasets that drive your AI agents and dashboards.
- AI-enabled tools for discovery and business metadata management
- End-to-end experience for creating, governing, consuming, and managing data as a product
- Fine-grained, role-based access control (RBAC) for secure data access
Strengthen Governance & Quality
