
Dremio is a data lakehouse platform that enables self-service analytics and AI by providing unified SQL query access across object storage, data lakes, and cloud data sources. The platform eliminates data silos by allowing organizations to query, analyze, and activate data directly from cloud and on-premises sources without data movement or duplication, while preserving governance and cost efficiency.
Dremio has been acquired
This company is no longer available on our private secondary market.
Company data and valuation marks are estimates and may be incomplete, stale, erroneous, or revised.
Founded
2015
Employees
350–375
Total Funding
$405M
6 rounds
Latest Valuation
$2B
Jan 25, 2022
Completed acquisition by SAP, folding Dremio's lakehouse platform into SAP Business Data Cloud for agentic AI.
Change of control ends independent equity; no further secondary trading expected.
Funding data and valuation marks are estimates and may be incomplete, stale, erroneous, or revised.
Total raised $405M across 6 rounds
Last updated 09-01-2026
| Date | Round | Amount Raised | Valuation | Lead Investors |
|---|---|---|---|---|
| Jan 25, 2022 | Series E | $160M | $2B | Sapphire Ventures, Insight Partners |
| Jan 19, 2021 | Series D | $135M | $1B | Sapphire Ventures |
| Mar 26, 2020 | Series C | $70M | — | Insight Partners |
Funding data and valuation marks are estimates and may be incomplete, stale, erroneous, or revised.
Entry · Series D
$1B
Jan 2021
Dremio today
$2B
Jan 2022 · latest mark
Dremio multiple
2.0x
valuation uplift since first round
Y-axis is logarithmic. Hollow dots = estimated valuations. Does not represent realized investor returns.
Sendur Sellakumar
Chief Executive Officer
Tomer Shiran
Founder and Chief Product Officer
Jacques Nadeau
Co-founder and Chief Technology Officer
Matt Quarfoot
Chief Revenue Officer
Cody Draper
Chief Financial Officer
Competitor list is illustrative and may be incomplete, stale, or erroneous.
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Databricks
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Delta Lake
Open-source storage layer by Databricks with transaction log, ACID compliance, time travel, and schema enforcement for data lake workloads.
Apache Iceberg
Open table format with native production-grade support across Spark, Flink, Trino, Presto, AWS Athena, and Snowflake.
Starburst
SQL query engine offering on-prem and cloud deployments with support for Apache Iceberg and federated data access.
Apache Hudi
Open-source data lake table format supporting incremental processing and streaming data ingest on object storage.
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