Overview
Product Information on Dremio Agentic Lakehouse Platform
Updated 19th November 2025
What is Dremio Agentic Lakehouse Platform?
Dremio Agentic Lakehouse Platform Pricing
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Overall experience with Dremio Agentic Lakehouse Platform
Data Engineer
Gov't/PS/ED 5,000 - 50,000 Employees, EducationFAVORABLE
“Experience with Dremio’s SQL Engine and Support for Citizen Developers”
Director of IT
10B - 30B USD, Services (non-Government)CRITICAL
“Basic SQL Knowledge Needed for Easy Data Source Addition in This Tool”
About Company
Company Description
Dremio provides an agentic lakehouse platform designed to support AI-driven analytics and automation. It enables AI agents and users to access and analyze data across sources through federated query capabilities, unstructured data processing, and an AI-powered semantic layer that adds business context. The platform automates performance management and query optimization, reducing manual administration and supporting scalable, self-managing data operations. Dremio is built on open standards, including Apache Iceberg, Apache Polaris, and Apache Arrow, and is used by global enterprises across industries to accelerate data access and insights.
Company Details
Company type
Private
Year Founded
2015
Head office location
Santa Clara, United States
Number of employees
201 - 500
Website
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Dremio Agentic Lakehouse Platform Reviews and Ratings
- Data EngineerGov't/PS/EdEducationReview Source
Experience with Dremio’s SQL Engine and Support for Citizen Developers
Dremio came highly recommended and was top of mind when my organization started to map out and prioritize modernizing our on premise technology stack. The vision for my organization was to take advantage of data lakes storage but of course we had a large user base that was either citizen data analysts or coming from SQL. Dremio fit the bill for us as it has a fast SQL engine to run against data lakes and move from data to insights quickly via self service analytics. Another top priority for my organization given our large base of citizen data developers. The end user community is strong and the product is definitely headed in the right direction.
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