Data that speaks the language of business
Dremio's Universal Semantic Layer delivers consistent, collaborative, governed access across all your data
Curate a virtual data set with no data movement
It's easy to build views, virtual data sets, and even virtual data marts across all of your data sources with Dremio's Universal Semantic layer. Users have self-service access to analyze across data sets in the language of the business, with no ETL.
Intuitive business and technical metadata help put data to work
Gain a deeper understanding of curated data sets and views with user-generated wikis and dataset definitions that make it easier to understand and collaborate on data projects. Wikis also include detailed column descriptions and can be automatically updated using REST API.
Easily label, search for, and discover your data
Data sets and views can be labeled for search and discovery both manually and using GenAI. And, Dremio's centralized, scalable data governance ensures that role and user-based permissions are applied from the data source up, so the right users have access to the right data.
Dremio Customer Case Studies
Case Study
Improved Project Delivery Speed and Lowered Costs.
Dremio's data lakehouse helps NCR complete analytics projects 90% faster and delivers >10x price performance.
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Case Study
Improved Supply Chain with >10x Query Performance and 90% Faster Project Delivery
Dremio's data lakehouse helped Amazon achieve 10x faster query performance and reduce project completion times by 90%.
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Case Study
Digital Insurance Agency AP Intego Enhances Service & Revenue by Using Dremio to Gain 360° Customer View
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.
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