Dremio
The data platform delivering the fastest path to agentic analytics.
Dremio is a cloud-native data lakehouse platform built on open standards like Apache Iceberg, Apache Arrow, and Apache Polaris. It provides a unified environment for querying, governing, and federating data across sources without requiring ETL, while enabling AI agents to access enterprise data directly. The platform offers autonomous performance optimization, fine-grained access controls, and a semantic layer to provide consistent business context across all data sources.
Dremio federates queries across all data sources without ETL, applies an AI semantic layer for unified business context, and uses autonomous reflections and Iceberg-native optimization to accelerate performance automatically.
Data engineers, analysts, and enterprise data teams building modern lakehouse architectures
Background.
- Status
- launched
- Business model
- subscription
- Company
- Dremio Corporation
Similar projects.
Editorial take on the space this project sits in — momentum signals, adjacent moves, our call on whether the wedge is real. Get pinged when we publish a new read or when the landscape shifts.
Have a take on this space?
Tell us what you’d build differently, where you think the incumbents miss, or what we’ve gotten wrong about this project. Comments + reactions are coming soon.