Companies Modernizing with Dremio’s Lakehouse
Flexible AI Integration
Simplified Analytics
All Data
Deploy AI agents with your preferred LLM infrastructure. Whether using public cloud models, private hosted solutions, or hybrid architectures, Dremio provides the unified data foundation that agentic workflows require. Our MCP (Model Context Protocol) server integration enables seamless connectivity with AI frameworks like Claude, ChatGPT, and custom agentic systems.
Transform complex data analysis into simple, conversational interactions. Non-technical users can now analyze data through natural language queries, while technical teams benefit from AI-powered productivity features like query optimization, data discovery, and automated explanations—all without requiring specialized expertise.
Transform complex data analysis into simple, conversational interactions. Non-technical users can now analyze data through natural language queries, while technical teams benefit from AI-powered productivity features like query optimization, data discovery, and automated explanations—all without requiring specialized expertise.
Discovery
Enable new team members to quickly understand inherited datasets and existing views through AI-powered explanations and contextual guidance, reducing onboarding time and increasing productivity.
Amazon’s analytics teams reduced project setup times by 90%, moving from raw data to insight in hours instead of days.
Receive AI-driven recommendations for query performance improvements, with detailed analysis of execution plans and optimization suggestions that help users improve their analytical workflows.
Maersk scaled to millions of queries per day with 99.97% uptime, powering AI-driven logistics and operational decisions.
Transform documents, images, and other unstructured content into structured, queryable data through simple SQL commands and AI functions, enabling comprehensive analysis across all data types.
NetApp achieved 95% faster time-to-insight and unified access to on-prem and cloud data for self-service analytics and AI.
Enable AI agents to perform complex data analysis tasks through natural language interfaces, powered by Dremio's semantic layer and high-performance query engine.
KION Group AG empowered users with near real-time access to over 200 million records, reducing dashboard refresh times from 30 minutes to just 3 seconds and supporting both reporting and machine learning projects.
Accelerate data work with intelligent assistance built directly into the platform. Get instant explanations of complex queries, discover data assets through semantic search, optimize performance automatically, and understand inherited datasets quickly—all through intuitive AI-powered interfaces.
Convert documents, images, and other unstructured content into structured, analyzable data with simple SQL commands. Our AI functions enable classification of images, extraction of contract details from PDFs, and generation of structured tables from complex documents—dramatically simplifying workflows that previously required multiple specialized tools.
Frictionless connectors and integrations across all your data, in the cloud and on-premises
Agentic AI requires both semantic understanding and high-performance data access. Dremio's semantic layer provides context and meaning to AI agents, while our reflections technology ensures dashboard-level performance for real-time AI interactions. This combination enables reliable, production-ready agentic workflows.
Connect Dremio to your existing agentic AI frameworks through our MCP server integration. Think of it as another client interface—similar to Power BI or Tableau—that enables AI agents to analyze data directly. This approach allows you to maintain your preferred AI tools while leveraging Dremio's unified data platform.
The Dremio Intelligent Lakehouse Platform empowers organizations to modernize their infrastructure without disruption while enabling faster decision-making through unified access to critical data sources.
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