
Dremio
Founded Year
2015Stage
Series E | AliveTotal Raised
$405MValuation
$0000Last Raised
$160M | 4 yrs agoMosaic Score The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.
-84 points in the past 30 days
About Dremio
Dremio operates in the data management industry, providing a platform for self-service analytics and Artificial Intelligence (AI). The company offers tools including a Structured Query Language (SQL) query engine and lakehouse management, along with various connectors and integrations for data analysis. Dremio serves sectors that require data analytics and management solutions, such as technology and finance. It was founded in 2015 and is based in Santa Clara, California.
Loading...
ESPs containing Dremio
The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.
The data science platforms market offers end-to-end solutions that help organizations develop, deploy, and manage AI and machine learning models. These platforms provide standardized frameworks and workflow tools for the complete ML lifecycle, from data preparation and model building to deployment and monitoring. They include features for collaboration, governance, security, and reproducibility wh…
Dremio named as Leader among 14 other companies, including Databricks, Alteryx, and Cloudera.
Dremio's Products & Differentiators
Dremio Unified Lakehouse Platform
The Dremio Unified Lakehouse Platform lets you connect, govern, and analyze all of your data, both in the cloud and on-premises.
Loading...
Research containing Dremio
Get data-driven expert analysis from the CB Insights Intelligence Unit.
CB Insights Intelligence Analysts have mentioned Dremio in 1 CB Insights research brief, most recently on Aug 4, 2023.

Aug 4, 2023
The data transformation & access market mapExpert Collections containing Dremio
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
Dremio is included in 3 Expert Collections, including Unicorns- Billion Dollar Startups.
Unicorns- Billion Dollar Startups
1,309 items
AI 100 (All Winners 2018-2025)
100 items
Artificial Intelligence (AI)
20,894 items
Dremio Patents
Dremio has filed 8 patents.
The 3 most popular patent topics include:
- data management
- database management systems
- planetary systems

Application Date | Grant Date | Title | Related Topics | Status |
|---|---|---|---|---|
12/27/2022 | 2/11/2025 | Data management, Database management systems, Cache (computing), Cloud computing, Hashing | Grant |
Application Date | 12/27/2022 |
|---|---|
Grant Date | 2/11/2025 |
Title | |
Related Topics | Data management, Database management systems, Cache (computing), Cloud computing, Hashing |
Status | Grant |
Latest Dremio News
Nov 17, 2025
Dremio Unveils The Agentic Lakehouse: Built for Agents, Managed by Agents Next-generation Dremio Cloud reimagines the Lakehouse for the Agentic Era Dremio , the agentic lakehouse company, today announced Dremio Cloud , the industry’s first agentic lakehouse that ushers in a new generation of data lakehouse platforms to empower artificial intelligence. Unlike other offerings, Dremio Cloud transforms legacy-based data infrastructures into a self-managing platform that continuously learns, adapts, and optimizes without human intervention. This enables data engineers to be 10x more productive and focus on innovation by eliminating mundane and time-consuming work. As enterprises race to deploy AI agents, they face a dual challenge: their data infrastructure processes and methodologies cannot support AI agents, and managing that data platform requires constant manual intervention, training, and education. Dremio Cloud solves both problems by positioning agents as a first-class operator—not a copilot or sidecar—creating an autonomous platform that seamlessly serves AI agents, applications, and users. “At BARC, we see high demand for tool consolidation, automation, and agentic data management. Dremio’s Agentic Lakehouse addresses this demand with an array of capabilities that minimize toil and boost productivity for data teams,” said Kevin Petrie, vice president of research at BARC. Dremio’s agentic platform delivers everything AI agents need to succeed, including: Unified and Governed Data Access: Dremio’s Open Catalog, built on the open-source Apache Polaris project—which Dremio co-created—makes it simple to catalog and govern all data across lakehouses and databases. Data is accessible through Dremio’s Intelligent Query Engine, which features Zero-ETL federation and both structured and unstructured data processing. AI Semantic Layer: Dremio’s deeply integrated semantic layer acts as a living encyclopedia for the business. It provides the crucial context AI needs to avoid hallucinations and deliver accurate insights. AI Agent: With its own AI Agent, Dremio Cloud makes it simple for business users and data analysts to ask questions and get high-quality answers and visualizations in seconds. Agent Choice Through MCP: Dremio Cloud natively supports the open Model Context Protocol (MCP), allowing any MCP-enabled AI agent from providers like Anthropic, OpenAI, and Google to connect to Dremio. Dremio Cloud introduces autonomous capabilities that significantly enhance the productivity of data engineers with: Active Metadata: Dremio’s active metadata system continuously analyzes query patterns, data relationships, and usage trends to drive autonomous decision-making. This living intelligence layer enables the platform to predict needs, prevent performance issues, and proactively optimize data layouts—capabilities that lay the groundwork for future agent-driven automation across all platform operations. Enhanced Semantics: Dremio automatically creates wikis and labels for tables, views, and data products, with a human-in-the-loop to govern quality. Materializations and Query Rewrite: The platform learns from every query, automatically creates performance materializations, and rewrites SQL in real time to deliver consistent sub-second performance. Clustering: Dremio intelligently reorganizes data layouts through automated clustering and continuously analyzes access patterns to physically restructure tables for optimal query performance. “Our new agentic lakehouse represents a fundamental shift in how data platforms operate. By embedding intelligent, autonomous capabilities into a managed platform, Dremio Cloud eliminates the manual overhead that plagues data teams while providing the performance and reliability that AI agents demand,” said Sendur Sellakumar, CEO at Dremio. “As our agentic autonomous capabilities evolve, they will increasingly operate as coordinated agents themselves, which creates a truly self-managing data ecosystem.” Availability: Dremio Cloud, The Agentic Lakehouse, is available immediately. Businesses can sign up for a $400 free trial at dremio.com/get-started and experience the future of autonomous data on a fully managed data platform. Dreamio Dremio is the pioneer of The Agentic Lakehouse—the only data platform built for agents, managed by agents. Organizations need to transform ideas into actions at unprecedented speed—Dremio delivers this agility by equipping AI agents with federated data access, unstructured data processing, and rich business context through its AI Semantic Layer. In the agentic era, data engineering teams can’t manually tune performance for thousands of users and agents asking unpredictable questions every second. Dremio’s Agentic Lakehouse autonomously manages itself, removing undifferentiated management tasks, allowing engineers to focus on initiatives that drive business results. Dremio’s agentic lakehouse automatically optimizes queries, reorganizes data, and maintains performance at any scale. Dremio is trusted by thousands of global enterprises including Shell, TD Bank, and Michelin, and built on open standards. Dremio co-created Apache Polaris and Apache Arrow, and it's the only lakehouse built natively on Apache Iceberg, Polaris, and Arrow. Learn more at www.dremio.com. previous post Dremio is the pioneer of The Agentic Lakehouse—the only data platform built for agents, managed by agents. Organizations need to transform ideas into actions at unprecedented speed—Dremio delivers this agility by equipping AI agents with federated data access, unstructured data processing, and rich business context through its AI Semantic Layer. In the agentic era, data engineering teams can’t manually tune performance for thousands of users and agents asking unpredictable questions every second. Dremio’s Agentic Lakehouse autonomously manages itself, removing undifferentiated management tasks, allowing engineers to focus on initiatives that drive business results. Dremio’s agentic lakehouse automatically optimizes queries, reorganizes data, and maintains performance at any scale. Dremio is trusted by thousands of global enterprises including Shell, TD Bank, and Michelin, and built on open standards. Dremio co-created Apache Polaris and Apache Arrow, and it's the only lakehouse built natively on Apache Iceberg, Polaris, and Arrow. Learn more at www.dremio.com. Related posts
Dremio Frequently Asked Questions (FAQ)
When was Dremio founded?
Dremio was founded in 2015.
Where is Dremio's headquarters?
Dremio's headquarters is located at 3970 Freedom Circle, Santa Clara.
What is Dremio's latest funding round?
Dremio's latest funding round is Series E.
How much did Dremio raise?
Dremio raised a total of $405M.
Who are the investors of Dremio?
Investors of Dremio include Lightspeed Venture Partners, Norwest Venture Partners, Cisco Investments, Insight Partners, Sapphire Ventures and 16 more.
Who are Dremio's competitors?
Competitors of Dremio include Crunchy Data, CData, Onehouse, Keboola, Varada and 7 more.
What products does Dremio offer?
Dremio's products include Dremio Unified Lakehouse Platform.
Loading...
Compare Dremio to Competitors

Fivetran operates within the data infrastructure and analytics domain, providing a platform that centralizes data from various sources into cloud destinations. It enables analytics, database replication, and artificial intelligence (AI) workflows without the need for complex coding. Fivetran's services support sectors including retail, financial services, and manufacturing. It was founded in 2012 and is based in Oakland, California.

Matillion is a cloud-native data integration company that focuses on building and managing data pipelines for AI and analytics. The company provides a platform that allows users to create both code-based and no-code data transformations, connect to various sources, and ensure security and compliance. Matillion's solutions aim to support a range of cloud data platforms. It was founded in 2011 and is based in Manchester, England.

Adverity operates as an integrated data platform focused on automating the connectivity, transformation, and governance of marketing data. The platform offers services such as data collection, transformation, monitoring, and sharing, with artificial intelligence (AI) integration to support data accuracy and timeliness for decision-making. Adverity primarily serves marketing teams, engineering teams, analytics teams, and C-suite executives across various industries. It was founded in 2015 and is based in Vienna, Austria.

Microsoft Azure operates as a cloud computing platform that provides various services for building, testing, deploying, and managing applications and services through Microsoft-managed data centers. It includes solutions like virtual machine hosting, data storage, software development tools, and services for big data analytics, artificial intelligence, and Internet of Things integration. Microsoft Azure serves sectors that need computing resources and application development tools. It was founded in 2010 and is based in Redmond, Washington.

Hevo Data focuses on providing automated data integration solutions within the data management and analytics industry. The company offers a platform that enables users to set up data pipelines, synchronize data from various sources to warehouses in real-time, and prepare data for analytics without the need for coding. Hevo Data's platform is designed to serve data-driven organizations across various sectors by simplifying data integration and analytics processes. It was founded in 2017 and is based in San Francisco, California.

Syncari provides data unification and automation, focusing on master data management (MDM) within the data management industry. The company offers a data management platform that allows for synchronization and unification of data across organizational systems. Syncari's solutions assist in decision-making and data quality. It was founded in 2019 and is based in Newark, California.
Loading...