Dremio is a Query Engines company founded in 2015 and based in Santa Clara, United States. It has raised $365M in total funding, most recently a Series E in 2022 at a $2B valuation.
| Date | Stage | Amount | Valuation | Lead investors |
|---|---|---|---|---|
| Jan 25, 2022 | Series E | $160M | $2B | Sapphire Ventures, Insight Partners |
| Jan 1, 2021 | Series D | $135M | $1B |
| — |
| Mar 26, 2020 | Series C | $70M | — | Insight Partners |
| Jan 1, 2018 | Series B | — | — | Norwest Venture Partners, Cisco Investments |
| Sep 25, 2015 | Series A | — | — | Lightspeed Venture Partners, Redpoint Ventures |

SAP acquires Dremio to bolster real-time data analysis and AI capabilities.

SAP completes its acquisition of Dremio, with integration and AI monetization questions unresolved.
SAP acquires Dremio to unify SAP and non-SAP data for agentic AI workloads.

SAP completes its acquisition of Dremio to bring AI-ready data intelligence onto a single open platform.

SAP acquires Dremio to bolster its agentic AI data capabilities.

SAP completes its acquisition of data lakehouse company Dremio.
An Apache Iceberg-native query engine combining LLVM-compiled vectorized execution with Apache Arrow columnar processing. Delivers sub-second SQL queries across object storage and data lakes without data movement. The autonomous Reflections acceleration layer automatically rewrites queries against pre-materialized results, eliminating manual tuning. SAP announced intent to acquire Dremio in May 2026; deal pending close (expected Q3 2026).
An open catalog for Apache Iceberg co-created by Dremio, enabling multi-engine read/write interoperability across Spark, Trino, Flink, and other Iceberg-compatible engines. Provides governance, access control, and metadata management for the open lakehouse without vendor lock-in, with Dremio serving as one of the primary commercial contributors.
A self-service semantic layer integrated into the lakehouse query engine, enabling business analysts to define dimensions, measures, and joins over physical Iceberg tables. Exposes consistent business metrics to BI tools and AI agents via one-click MCP integrations and Dremio CLI, reducing dependency on centralized data engineering teams for ad hoc analysis.
4 patents on file, but none with both an extractable figure and an abstract on Google Patents yet.