Dremio Customers

Learn how Tanobel saves 3,000+ Hours Monthly with Dremio’s Intelligent Lakehouse Platform, by decreasing report processing times and report creation times.

Discover how E.ON Nordic slashed time-to-insight by 95%—cutting complex queries from days to 10 minutes, refreshing data every 15 minutes, and empowering self-service analytics with Dremio’s Unified Lakehouse and dbt integration.

Discover how to unify healthcare data, cut month-end reporting from 2 weeks to 1.5 hours, and empower self-service analytics—transform your insights with Dremio’s Intelligent Lakehouse.

Discover how a public safety analytics startup used Dremio to streamline legacy data access, secure law enforcement insights, and scale analytics.

See how a global food services leader unified data across 40+ countries, democratized analytics, and sped time-to-value for users with Dremio.

Learn how a leading regional bank turbocharged analytics—10× faster performance, slashed Redshift costs, and streamlined data pipelines with Dremio & Apache Iceberg.

RWE empowered analysts with quicker access to data, self-service insights, and analytics to enable collaboration and data sharing with Dremio.

Maersk built their next generation data platform for unified analytics on Dremio making it the go-to place for end-user SQL queries in only six months.

Schwarz delivered their Data and AI platform STACKIT built on a core lakehouse architecture powered by Dremio

Nutanix fast tracked data provision to key business verticals by building Data-as-a-Service with Dremio.

TD Securities revolutionized data management leveraging Dremio to build out a data fabric.

Québec Blue Cross streamlined data product delivery process and cut down infrastructure costs by 50% with full CI/CD by leveraging Dremio with DBT

Vanguard improves operational efficiency, user satisfaction, and data processing speed with Dremio

Nomura modernized their data lake delivering unparalleled efficiency with Dremio Unified Lakehouse Platform to enable massive workload scaling.

Michelin improved unified data access, governance, and performance transitioning to lakehouse architecture with Dremio

ABC Supply delivers self-service analytics using Dremio to organize domain data and accelerate development

Dremio integrates with Azure Data Lake Storage and Apache Iceberg for direct querying, enhancing S&P Global's data strategy.

Dremio and NetApp modernize Hadoop with a single access layer for self-service over NetApp’s on-prem data lakehouse.

KION Group AG is the largest manufacturer of forklift trucks and warehouse equipment in Europe.

Dremio's data lakehouse helped Amazon achieve 10x faster query performance and reduce project completion times by 90%.

Dremio's data lakehouse helps NCR complete analytics projects in 90% less time and delivers >10x price performance.

FactSet modernizes applications with Dremio, accelerating access to financial data by 20x for better investment decisions.

Moonfare replaced a PostgreSQL-based data warehouse on Amazon Web Services (AWS) with a Dremio data lakehouse.

Vitesco Technologies uses Dremio on AWS to optimize manufacturing processes with self-service analytics for engineers.

Explore DATEV's success with Dremio and how it enhances data efficiency. Discover insights from their journey towards innovative data management.

NewDay transforms its data infrastructure to a secure AWS-based lakehouse with Dremio for self-service data access.

DB Cargo stores its vast amounts of data in an AWS cloud and has implemented a modern architecture that meets the requirements of multiple user groups.