Dremio Customers

S&P Global built a Data Lakehouse for FinOps analysis with Dremio Cloud on Microsoft Azure

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’s integration with Azure Data Lake Storage and native support for Apache Iceberg enabled direct data querying without duplication, enhancing data management, scalability, and security. This transformed S&P Global's data strategy, providing unprecedented insights quickly.

Dremio provided NetApp with a phased approach to Hadoop modernization and migration, providing 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.

Memed is an innovative Brazilian healthtech company transforming doctor and patient interactions through digital prescriptions.

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

Improved Equipment Effectiveness by >10% across 250 manufacturing lines. Query price performance was 30x better, which resulted in significant cost savings.

Leap selected Dremio to provide self-service access to collected data from thousands of energy meters, dramatically improving analyst productivity, reducing data engineering workload, and improving the quality and timeliness of business decisions.

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

AP Intego is improving customer service and revenue by using the Dremio data lake engine to integrate customer data from multiple sources into a single 360° customer view.

Financial data and software company FactSet is using Dremio to modernize its applications, accelerating access to crucial financial data by 20x to help clients make better investment decisions.

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

Vitesco Technologies optimizes its manufacturing processes by providing engineers with self-service analytics, using the Dremio interactive data lake engine on their AWS data lake storage.

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

eMAG is using Dremio as their query engine to make data from disparate data sources quickly available for analysis.

NewDay is transforming its data infrastructure from legacy systems to a cloud-based, secure PCI DSS-compliant data platform on AWS, leveraging the Dremio data lake engine 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.

Hungary’s OTP Bank uses Dremio to consolidate and streamline data management across multiple data domains and provide fast access to customer data from diverse sources.