Dremio
Dremio provides an open, Iceberg-native data lakehouse platform for governed access to enterprise data, analytics and AI. Its stated mission is to democratize data securely and in a governed way, giving analysts, data engineers, knowledge workers and AI agents fast access without copying data into proprietary warehouses.
At a Glance
- Large enterprises and Fortune 500 organizations
- Financial services and banking
- Insurance
- Retail and consumer packaged goods
- +5 more
AI Tools by Dremio
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Dremio
Agentic Data Lakehouse Platform
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Latest News
SAP completed its acquisition of Dremio, expanding SAP Business Data Cloud with Dremio's open lakehouse capabilities.
SAP announced an agreement to acquire Dremio to combine SAP and non-SAP data for agentic AI and real-time analytical workloads; terms were undisclosed.
Dremio highlighted Apache Iceberg V3 support in Dremio Cloud, Apache Polaris momentum and Dremio engineer JB Onofre's election to the Apache Software Foundation board.
Apache Polaris and Apache Gluten graduated from the Apache Incubator to become Apache Top-Level Projects, a milestone covered by Dremio's newsroom.
Products & Services
Fully managed agentic lakehouse service with AI agents, autonomous performance and resource optimization, an AI Semantic Layer, governed access, zero-ETL federation and Apache Iceberg-native storage and analytics.
Self-managed lakehouse for on-premises, Kubernetes, private cloud, public cloud and hybrid deployments, for organizations requiring infrastructure, security and compliance control.
Community-oriented edition of the Dremio lakehouse platform listed on Dremio's platform page.
Originally released as an Apache-licensed open-source platform for discovering, curating, accelerating and sharing data without traditional ETL, warehouses, cubes or aggregation tables.
Market Position
Dremio positions itself as an open, Iceberg-native alternative to proprietary cloud data warehouses and lakehouse platforms such as Snowflake and Databricks, and competes with open/federated query and lakehouse platforms including Starburst and Denodo. Its differentiation is direct querying of data in customer-controlled storage, Apache Iceberg/Arrow/Polaris interoperability, federated access without ETL, and autonomous/agentic management.
Leadership
Founders
Tomer Shiran
Dremio co-founder; previously led product management and product strategy at MapR. He was Dremio's founding CEO and is now identified by Dremio as a founder; he is also associated with the Apache Arrow and Apache Iceberg communities.
Jacques Nadeau
Dremio co-founder and former CTO; previously ran MapR's distributed-systems team. He is a co-creator of Apache Arrow, Apache Drill and Project Nessie and was an Apache Drill PMC chair.
Executive Team
Sendur Sellakumar
Chief Executive Officer
Enterprise software and cloud leader with more than 25 years of experience scaling high-growth teams and platforms.
Tomer Shiran
Founder
Dremio co-founder and data-platform/open-source leader behind the Agentic Lakehouse vision; previously held product leadership roles at MapR.
Board of Directors
Founding Story
Tomer Shiran and Jacques Nadeau started Dremio after seeing analysts and data scientists depend on IT and cumbersome ETL, warehouses, cubes and data copies to access data. Their initial vision was to do for data what AWS did for infrastructure: provide self-service access to data from any source and at any scale while preserving governance and security.
Business Model
Revenue Model
Subscription and usage-based enterprise software: Dremio Cloud is fully managed and priced by Dremio Compute Unit (DCU) consumption, with pay-as-you-go and annual committed contracts; Dremio Enterprise is sold as a commercial self-managed deployment/subscription offering.
Pricing Tiers
Pay-as-you-go pricing; annual contracts with committed pricing are also available. Includes a 30-day free trial with $400 in credits and no credit card required.
For self-managed on-premises, Kubernetes, private-cloud, public-cloud or hybrid deployments.
Community edition listed by Dremio; no public price was specified on the reviewed product page.
Target Markets
- Large enterprises and Fortune 500 organizations
- Financial services and banking
- Insurance
- Retail and consumer packaged goods
- Manufacturing
- Transportation and logistics
- Self-service SQL analytics and interactive BI
- Enterprise lakehouse modernization
- AI and agentic analytics with governed enterprise context
- Data science and machine learning
- Real-time and operational analytics
- Data federation across cloud, on-premises, relational, NoSQL and object-storage sources
- Shell
- TD Bank
- Michelin
- Maersk