Companies Modernizing with Dremio’s Lakehouse
for Unified Data Management
- Unified fabric: Connect all data sources in one virtualized layer
- Real-time access: Advanced federation eliminates complex ETL
TD Securities streamlined analytics by connecting diverse data sources, empowering domain experts with governed access and real-time insights across the enterprise.
- Central governance: Manage access, lineage, compliance across environments
- Secure access: Role-based controls and audit trails for governed analytics
TransUnion standardized data access and governance at scale, supporting rigorous privacy and compliance for sensitive customer data across hybrid cloud environments.
- Fast queries: Sub-second performance, no manual tuning required
- Easy scaling: Scale analytics and AI on distributed data
FactSet accelerated critical analytics, reducing query times and management overhead by deploying Dremio’s data fabric across global operations.
- AI-ready data: Quickly find and use trusted datasets with intelligent search
- Self-service: Semantic layer accelerates innovation and AI adoption
ABC Supply Co. improved operational agility and decision-making by enabling self-service analytics and easier discovery of data assets using Dremio.
OVERVIEW
Eliminate silos and access the full value of your distributed data with Dremio’s data fabric—automate integration across on-prem, cloud, and SaaS for a unified, real-time, governed view without complex ETL or data movement.
Experience the fastest lakehouse with zero manual tuning required. Dremio's intelligent query engine automatically optimizes performance for both AI agents and human users, delivering sub-second query performance through autonomous data structure creation, transparent query rewriting, and end-to-end caching—eliminating operational overhead so teams can focus on innovation.
Enable AI agents and business users to understand and access data through natural language with Dremio's context-rich semantic layer. Built-in business vocabulary, semantic search, and automatic data discovery eliminate the guesswork, making enterprise data truly intelligent and accessible for both autonomous AI workflows and human-driven analytics.
Connect AI agents and users to all enterprise data sources without ETL complexity or data movement. Dremio's universal data access provides real-time virtualization across cloud, on-premises, and SaaS systems through a single platform, breaking down silos and enabling autonomous data access for the agentic AI era.
Frictionless connectors and integrations across all your data, in the cloud and on-premises
Empower both AI agents and human users to independently explore and analyze data using natural language and preferred tools. Dremio's semantic layer and MCP integration eliminate IT bottlenecks while providing the autonomous access patterns that modern AI workflows demand, accelerating time-to-insight across your organization.
Secure AI agent interactions and human data access with fine-grained controls, comprehensive audit trails, and centralized metadata management powered by Apache Polaris. Dremio ensures compliant, governed data access for both autonomous AI workflows and traditional analytics across distributed teams and hybrid environments.
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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