Dremio
Dremio provides an open Apache Iceberg-native data lakehouse with autonomous query optimization, an AI semantic layer, and MCP-based agent connectivity. It serves enterprise analytics teams across financial services, manufacturing, energy, and life sciences industries.
- Company typePrivate
- Founded2015
- HeadquartersAustin, United States
- Headcount251–500
- GTM typeB2B
- OfferingSoftware
What Dremio does
Dremio is a private data infrastructure company founded in 2015 and headquartered in Santa Clara, California, that builds an open data lakehouse platform positioned as "The Agentic Lakehouse" — built natively on Apache Iceberg, with Apache Arrow powering its query engine and Apache Polaris forming the foundation of its Open Catalog. The platform unifies structured, semi-structured, and unstructured data across 35+ source types via zero-ETL federation, delivers sub-second queries on petabyte-scale Iceberg tables, and embeds an AI Semantic Layer (ranked #1 by Dresner Advisory Services) that provides governed business context for AI agents and human analysts. Its technical differentiators include Apache Arrow-native vectorized execution with LLVM code generation (Gandiva), Autonomous Reflections that automatically create/refresh/retire materialized accelerators based on observed query patterns, and first-mover support for Apache Iceberg V3 features including Deletion Vectors, VARIANT type, Row-Level Lineage, and native Z-order clustering.
Dremio offers three deployment tiers: Dremio Cloud (fully managed, serverless with consumption-based DCU pricing and a $400/30-day free trial), Dremio Enterprise (self-managed on Kubernetes on-premises or in AWS/Azure/GCP with quote-based multi-year pricing), and Dremio Community Edition (free, deployable via Docker, serving as a PLG funnel). Distribution combines product-led growth, AWS Marketplace listing, a formal Partner Network (Cloud, Technology, SI, and reseller partners), and direct enterprise field sales. The company has thousands of customers globally spanning financial services (Vanguard, Nomura, RBC, Deutsche Bank, Wellington, Moody's, TransUnion), manufacturing and industrial (KION, Michelin, Garmin, Baker Hughes), energy/utilities (Shell, E.ON, RWE), life sciences (Genomics England, Boehringer Ingelheim), and government (World Bank, USGS).
As of May 4, 2026, SAP SE announced an agreement to acquire Dremio to integrate its Iceberg-native lakehouse into SAP Business Data Cloud and SAP HANA Cloud, with closing expected in Q3 2026 pending regulatory approval. SAP committed to continue Dremio's open-source contributions to Apache Iceberg, Polaris, and Arrow. Through April 2026, Dremio had raised $410 million across five funding rounds — most recently a $160M Series E in January 2022 led by Adams Street Partners at a $2 billion valuation — and employed 251-500 people.
Dremio firmographics
Firmographics- Name
- Dremio
- Legal name
- Dremio Inc.
- Website
- https://dremio.com
- Company type
- Private
- Founded year
- 2015
- Operating status
- Acquired
- Headcount range
- 251–500 employees
- Short description
- Dremio provides an open Apache Iceberg-native data lakehouse with autonomous query optimization, an AI semantic layer, and MCP-based agent connectivity. It serves enterprise analytics teams across financial services, manufacturing, energy, and life sciences industries.
- Ownership category
- akta.pro rank
Dremio industry classification
Industry- Product category
- Data Lakehouse Platform
- NAICS
- Software Publishers (5132), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- Lakehouse Platforms (HDAEABAB)
Keywords
Where Dremio is headquartered
LocationHeadquarters
- HQ city
- Austin
- HQ country
- United States
- HQ region
- North America
Offices4 records
Markets served
Dremio business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Marketing or Sales, Infrastructure, Operations
Revenue model
- Dremio Cloud subscription: Fully managed cloud lakehouse platform sold via subscription with consumption-based pricing model. Customers pay for DCUs (Dremio Compute Units) and storage used. Available via pay-as-you-go, AWS Marketplace, or pre-purchased credits.
- Dremio Cloud consumption-based compute: Usage-based component of Dremio Cloud pricing: customers pay only for DCU compute consumed, with serverless Elastic Engines scaling to zero when idle and scaling on demand.
- Dremio Enterprise self-managed license: Self-managed software for on-premises, cloud, or hybrid deployment via Kubernetes. Sold via 'Talk to Sales' with quote-based enterprise pricing. Includes Advanced Security & Governance, Iceberg Clustering, Autonomous Reflections, and Premier Support.
- Dremio Community Edition (freemium): Free SQL query engine for data lakes, deployable via Docker in minutes. Acts as freemium funnel to Dremio Cloud and Dremio Enterprise. Includes core lakehouse engine, Apache Iceberg/Polaris/Arrow support, but with self-managed Kubernetes only and 1-2 annual releases vs monthly for Cloud.
- Free trial and AWS Marketplace: $400 in credits for a 30-day free trial of Dremio Cloud with full feature access. Also distributed through AWS Marketplace as a procurement channel.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Usage-based | Pay-as-you-go | Dremio Cloud consumption-based pricing |
| Other | Multi-year contract | Dremio Enterprise quote-based |
| Freemium | Pay-as-you-go | Dremio Community Edition free |
Go-to-market motion6 records
Distribution channels5 records
Marketing channels11 records
Dremio product offering
Product offeringCore offering
Dremio sells an Agentic Lakehouse platform — a unified, open data lakehouse built natively on Apache Iceberg, Apache Arrow, and Apache Polaris — that provides federated SQL query, an AI semantic layer, an open metadata catalog, and built-in AI agent connectivity for analytics and AI workloads. It is offered as fully managed cloud (Dremio Cloud), self-managed enterprise software (Dremio Enterprise), and a free Community Edition, with consumption-based pricing on DCUs and optional AWS Marketplace procurement.
Product overview
Dremio offers a unified Agentic Lakehouse platform available in three deployment options: Dremio Cloud (fully managed, serverless), Dremio Enterprise (self-managed on Kubernetes, on-premises, or in the user's cloud), and Dremio Community Edition (free, self-managed query engine). The core platform is composed of four integrated capability modules: the Intelligent Query Engine (Arrow-native, Iceberg-native SQL engine with Elastic Engines and Autonomous Reflections), the AI Semantic Layer (universal semantic layer with AI-generated metadata and governance), Dremio Open Catalog powered by Apache Polaris (unified metadata and multi-engine governance), and the Dremio AI Agent (built-in conversational AI agent with MCP integration for Claude, ChatGPT, Gemini, plus the Dremio CLI for coding agents). These capabilities are accessible through developer tools including the Dremio MCP Server, the Dremio CLI, REST API, Apache Arrow Flight, ODBC, and JDBC. The platform is packaged as industry and use-case solutions including Dremio for Financial Services, Dremio for Manufacturing, Dremio for Life Sciences and Healthcare, Agentic Analytics, Warehouse to Lakehouse Migration, Lake to Iceberg Migration, and Data Fabric. In May 2026, SAP SE agreed to acquire Dremio to integrate its open data lakehouse into SAP Business Data Cloud.
Differentiator
Problem solved
Functional benefit
Brands
- Dremio Cloud: The fully managed lakehouse platform for Agentic AI, available as a cloud service with $400 in free trial credits and 30-day access.
- Dremio Enterprise
- Dremio Community Edition
Products and services
- Dremio Cloud Dremio Cloud is the fully managed, serverless Agentic Lakehouse platform providing automatic updates, scaling, and optimization. It unifies SAP and non-SAP data, offers an AI Semantic Layer, autonomous query optimization, and zero-ETL federation across 35+ source types on Apache Iceberg. Sold via subscription with consumption-based pricing (DCUs + storage); available via pay-as-you-go, AWS Marketplace, or pre-purchased credits with a $400/30-day free trial.
- Dremio Enterprise
Quantifiable outcome
- 10x faster query performance at Amazon (60s to 4-6s); 60 hours eliminated per project
- +10 more outcomes
Companies that use Dremio
Customer profileNamed customers54 records
Segments7 records
Ideal customer profiles5 records
Dremio technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration34 records
AI capability10 records
Feature10 records
Dremio partnerships and signals
Strategic signalPartnerships
Twelve partnerships are on record, tiered flagship, major and minor.
- SAP SEflagshipSAP SE announced an agreement to acquire Dremio on May 4, 2026. The acquisition integrates Dremio's Iceberg-native lakehouse technology into SAP Business Data Cloud and SAP HANA Cloud, eliminating data fragmentation for real-time analytics across SAP and non-SAP sources. SAP committed to continuing Dremio's open-source contributions to Apache Iceberg, Apache Polaris, and Apache Arrow. Expected to close in Q3 2026 pending regulatory approval.
- Apache Software FoundationflagshipDremio co-created Apache Iceberg, Apache Polaris, and Apache Arrow, and donated Apache Polaris to the Apache Software Foundation. Polaris graduated to top-level Apache project in February 2026. Dremio's Open Catalog is built on Apache Polaris and remains one of its most active participants.
- AWSflagshipAWS Marketplace hosts Dremio Cloud as a procurement channel. Vanguard case study describes Dremio running on AWS S3 for $8T+ in assets. AWS is a primary cloud deployment target alongside Azure and GCP.
- Microsoft AzuremajorDremio Cloud runs on Azure - referenced explicitly in the VerSe Innovation testimonial ('Dremio Cloud on Azure simplifies our stack'). KION Group's 200M+ records run in Azure Data Lake powered by Dremio Reflections.
- Anthropic (Claude)majorDremio's MCP server provides native support for Anthropic's Claude and Claude Code as MCP-compatible agents. Users can connect Claude in minutes via Personal Access Token.
- OpenAI (ChatGPT)majorDremio's MCP server supports OpenAI's ChatGPT as an MCP-compatible agent, enabling natural-language queries against Dremio's lakehouse data.
- Google (Gemini)majorDremio's MCP server supports Google's Gemini as an MCP-compatible agent, enabling natural-language queries against Dremio's lakehouse data.
- dbtmajorDremio integrates with dbt - dbt Core models materialize as Iceberg tables or views in Dremio's Open Catalog. Users can launch dbt from Dremio's BI tool integrations.
- TableaumajorDremio one-click launches Tableau from its interface; users can also connect via ODBC, JDBC, or Arrow Flight.
- Microsoft Power BImajorDremio one-click launches Power BI from its interface; users can also connect via ODBC, JDBC, or Arrow Flight.
- Dremio Partner NetworkflagshipThe Dremio Partner Network includes dozens of Cloud, Technology, SI, and reseller partners delivering integrations spanning BI, data cataloging, governance, identity management, and implementations expertise. Partners can join via the Dremio Network Partner Program.
- A&O ShearmanminorA&O Shearman served as legal advisor to SAP on the strategic AI acquisitions of Dremio and Prior Labs, providing cross-border counsel across the U.S., Germany, and other jurisdictions.
Scale indicators16 records
Recent moves6 records
Expansion highlights6 records
Dremio competitors and assessment
Company assessmentDirect peers
- Databricks: Databricks is the largest data lakehouse platform, built on Delta Lake with its own Unity Catalog and Mosaic AI stack. It is Dremio's most direct and formidable competitor, serving overlapping enterprise customers with a similar SQL-on-lakehouse proposition plus a much larger ML/AI platform.
- Snowflake: Snowflake is the dominant cloud data warehouse that has expanded into the lakehouse with Iceberg support and Cortex AI. It competes head-to-head with Dremio for analytical workloads and is the named performance/cost benchmark in Dremio's TPC-DS and TCO comparisons.
- Starburst: Starburst offers an open data lakehouse built on Trino, targeted at federation across data sources. It is Dremio's closest open-source-aligned competitor in the distributed SQL-on-lake category and is frequently profiled alongside Dremio in analyst coverage.
- Apache Trino (Trino Software Foundation): Trino is the open-source federated SQL query engine that powers Starburst and competes with Dremio's query engine. Dremio and Trino are both positioned as open alternatives for querying data lakes, and Dremio's Arrow-native engine differentiates against Trino's Java-based runtime.
Broad incumbents
- AWS (Athena / Redshift / S3 Tables): AWS offers Athena for serverless SQL on S3, Redshift for cloud warehousing, and S3 Tables for managed Iceberg storage. As a hyperscaler, it competes on price, distribution, and bundled procurement, and is also a Dremio deployment surface (Dremio runs on AWS for Vanguard and others).
- Google Cloud (BigQuery): Google BigQuery is a serverless cloud data warehouse with native Iceberg support and BigQuery Studio/Agents for AI workloads. It competes with Dremio for analytical workloads on cloud object storage, with the advantage of deep integration into the Google Cloud ecosystem.
- Microsoft (Fabric / Synapse / Purview): Microsoft Fabric unifies data engineering, warehousing, and AI on OneLake with native Iceberg support, and competes with Dremio especially inside Azure-deployed enterprises. Dremio Cloud runs on Azure (e.g., KION, VerSe Innovation), making this both a partner and a competitive surface.
Emerging players
- ClickHouse: ClickHouse is a high-performance columnar OLAP database with a managed cloud offering that competes on query speed at scale. Dremio integrates with ClickHouse Cloud via JDBC/ARP pushdown, indicating overlap on analytical query workloads for time-sensitive use cases.
- DuckDB: DuckDB is an in-process analytical database with strong Iceberg support that is increasingly embedded in data workflows (via PyIceberg, dbt, MotherDuck). Dremio's PyIceberg integration and AI agent workflows overlap with DuckDB's developer-led adoption path.
Others
- Confluent: Confluent's Tableflow brings streaming data into the Iceberg lakehouse and is integrated with Dremio's Open Catalog. While not a direct SQL-on-lakehouse competitor, Confluent sits in the broader streaming-to-lakehouse stack and represents an adjacent ecosystem player for real-time lakehouse data.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
Dremio social profiles
Digital presenceDremio compliance and trust
Trust signalCompliance4 records
Dremio financial estimates
Financial estimateRevenue estimate
Valuation estimate
Dremio leadership team
Management profileNumber of profiles
Profiles7 records
Dremio subsidiaries and ownership
Company hierarchySubsidiaries3 records
Dremio funding detail
Funding detailFunding overview
Funding rounds6 records
Investors11 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Dremio M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Dremio
What does Dremio do?
Dremio sells an Agentic Lakehouse platform — a unified, open data lakehouse built natively on Apache Iceberg, Apache Arrow, and Apache Polaris — that provides federated SQL query, an AI semantic layer, an open metadata catalog, and built-in AI agent connectivity for analytics and AI workloads. It is offered as fully managed cloud (Dremio Cloud), self-managed enterprise software (Dremio Enterprise), and a free Community Edition, with consumption-based pricing on DCUs and optional AWS Marketplace procurement.
Is Dremio a public or private company?
Dremio is a private company. It is classified as venture growth investor backed and is currently acquired.
When was Dremio founded?
Dremio was founded in 2015. It employs 251 to 500 people.
Where is Dremio based?
Dremio is headquartered in Austin, United States, in the North America region.
How does Dremio make money?
Five revenue lines are on record. Dremio Cloud subscription is the primary driver. The others are dremio Cloud consumption-based compute, dremio Enterprise self-managed license, dremio Community Edition (freemium) and free trial and AWS Marketplace.
Who are Dremio's main competitors?
Direct peers on record are Databricks, Snowflake, Starburst and Apache Trino (Trino Software Foundation). Broad incumbents are AWS (Athena / Redshift / S3 Tables), Google Cloud (BigQuery) and Microsoft (Fabric / Synapse / Purview). Emerging players are ClickHouse and DuckDB. Confluent is listed as an others.
Does Dremio have an API?
Yes. Dremio exposes multiple interfaces for developers and AI agents: a hosted MCP (Model Context Protocol) server enabling any MCP-compatible agent (Claude, ChatGPT, Gemini, Cursor, Windsurf) to connect to the lakehouse via Personal Access Token; a Dremio CLI for programmatic access by coding agents (installable via pipx/uv or npm); the dremio-mcp Python package for self-hosted deployments; and standard data interfaces including REST API, Apache Arrow Flight, ODBC, and JDBC. The Dremio CLI provides self-describing commands for ingesting data, creating tables, running transformations, and diagnosing queries. Native MCP server requires no installation on Dremio Cloud. Developer documentation is at docs.dremio.com/current/developer/mcp-server.
What industry is Dremio in?
Dremio's product category is Data Lakehouse Platform. Its primary akta.pro industry code is HDAEABAB, Lakehouse Platforms. Its NAICS code is 5132 and its SIC code is 7372.