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
USE CASE SUCCESS
Discover How Leading Organizations Accelerate Data Initiatives with Dremio
See how enterprises across industries leverage Dremio's Intelligent Lakehouse Platform to transform their data strategies, accelerate AI adoption, and drive business value
Accelerating AI
Unified Analytics
Warehouse to Lakehouse
Hadoop Modernization
Amazon achieved 90% faster project delivery and 10X query performance
Dremio provides AI-ready data products that enable organizations to rapidly implement AI initiatives and makes it easy for data scientists and other users to find and leverage data.
Maersk implemented a unified analytic environment with Dremio
Dremio provides seamless unified data access with data virtualization, federation, consolidation, and interactive analytics across all of a company's data.
AP Intego implemented a Dremio Lakehouse to replace Redshift
Dremio enables organizations to land data in the data lake and leverage Dremio for warehouse analytical functionality without having to move data to a proprietary relational database.
NCR migrated from a legacy Hadoop environment and reduced development time and cost by 90%
Dremio offers a three-phase approach to replace query engines, provide semantic layers, separate compute and storage, and modernize with Iceberg table structures.
Why Customers Choose Us
1000s of companies across all industries trust Dremio
10x
in query performance, from 60 to 4-6 seconds
60HRS
of work eliminated per project
90%
Reduction in setup time.
99.97%
uptime, minimizing downtime to just 3 hours in 10 months
Scaled
from handling zero to 1.6 million queries a day
Reduced costs
by avoiding proprietary data access fees and optimizing resource usage
Milli-second
latency on queries on 45+ million record tables
Unified access
to data through a single integrated platform
Real-time
low-latency dashboard refreshes with Reflections
6X
growth in physical data sets validated and managed
140%
increase in virtual data sets identified and validated
Reduced
Databricks cost while scaling data projects to users.
Increased
independence for BI team by eliminating data bottlenecks
Optimized
Snowflake performance while maintaining ~9,400 Dremio jobs/day
Provided easy
and fast access to 70+ data sources for 1,200 daily BI users
Learn More About Dremio
Learn how Dremio is helping teams accelerate AI and analytics.
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