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  3. Dremio Agentic Lakehouse Platform
Logo of Dremio Agentic Lakehouse Platform

Dremio Agentic Lakehouse Platform

byDremio
in
4.1
Market Presence: Analytics Query Accelerators (Retired), Data Integration Tools

Overview

Product Information on Dremio Agentic Lakehouse Platform

Updated 19th November 2025

What is Dremio Agentic Lakehouse Platform?

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.

Dremio Agentic Lakehouse Platform Pricing

Dremio Agentic Lakehouse Platform Product Images

Dremio
Dremio

Overall experience with Dremio Agentic Lakehouse Platform

Data Analyst
50M - 250M USD, Services (non-Government)
FAVORABLE

“SQL Familiarity and User Interface Drive Dremio Usage Across Data Platform Teams”

4.0
Feb 18, 2026
This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions.
Lead Data architect
3B - 10B USD, Consumer Goods
CRITICAL

“Dremio : an innovative but frustrating piece of software”

3.0
Apr 23, 2024
This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions.

About Company

Company Description

Updated 20th November 2025

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

Updated 20th November 2025
Company type
Private
Year Founded
2015
Head office location
Santa Clara, United States
Number of employees
201 - 500
Website
https://www.dremio.com

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Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

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Peer Discussions

Dremio Agentic Lakehouse Platform Reviews and Ratings

4.1

(32 Ratings)

Rating Distribution

5 Star
19%
4 Star
72%
3 Star
9%
2 Star
0%
1 Star
0%
Why ratings and reviews count differ?
  • Data Analyst
    50M-1B USD
    Services (non-Government)
    Review Source

    SQL Familiarity and User Interface Drive Dremio Usage Across Data Platform Teams

    4.0
    Feb 18, 2026
    Dremio is valuable tool used in our organization as part of Data Platform Reporting environment .The Data platform enables us to work with and analyze data, and Dremio is specifically used for reporting on that data. It offers an intuitive user interface for writing queries and retrieving relevant data for existing tables, along with ability to export result as needed. Because Dremio is easy to use and not overly complex, it supports strong user adoption across organization.
  • Data Analyst
    50M-1B USD
    Services (non-Government)
    Review Source

    SQL Familiarity and User Interface Drive Dremio Usage Across Data Platform Teams

    4.0
    Feb 18, 2026
    Dremio is valuable tool used in our organization as part of Data Platform Reporting environment .The Data platform enables us to work with and analyze data, and Dremio is specifically used for reporting on that data. It offers an intuitive user interface for writing queries and retrieving relevant data for existing tables, along with ability to export result as needed. Because Dremio is easy to use and not overly complex, it supports strong user adoption across organization.
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Recommended Gartner Insights

  • Market Guide for Analytics Query Accelerators (Retired)
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Reviewer Insights for: Dremio Agentic Lakehouse Platform
Deciding Factors: Dremio Agentic Lakehouse Platform Vs. Market Average
Performance of Dremio Agentic Lakehouse Platform Across Market Features

Dremio Agentic Lakehouse Platform Likes & Dislikes

Like

I find it very convenient to use compare to other tools in the organization .It is easy to use and not overly complicated ,which drives quick and strong adoption across the organization. Since many users are already familiar with SQL , they find it convenient it work with Dremio

Like

I find it very convenient to use compare to other tools in the organization .It is easy to use and not overly complicated ,which drives quick and strong adoption across the organization. Since many users are already familiar with SQL , they find it convenient it work with Dremio

Like

I find it very convenient to use compare to other tools in the organization .It is easy to use and not overly complicated ,which drives quick and strong adoption across the organization. Since many users are already familiar with SQL , they find it convenient it work with Dremio

Dislike

- Very bad integration with Power BI - Very bad CI/CD capabilities (they provide an unsupported python script to do CI/CD to handle DEV & PROD environments, but it is not capable of dealing with some native Dremio objects. Like for example if you develop a Dremio dataset in DEV environment, on which you apply Row-Level Security or as they call it Row access Policy, then the provided CI/CD script is not supporting those, and will not deliver your dataset to PROD environment - Customer service and support teams have very bad understanding of the inner workings of Dremio-Power BI integration

Dislike

- Very bad integration with Power BI - Very bad CI/CD capabilities (they provide an unsupported python script to do CI/CD to handle DEV & PROD environments, but it is not capable of dealing with some native Dremio objects. Like for example if you develop a Dremio dataset in DEV environment, on which you apply Row-Level Security or as they call it Row access Policy, then the provided CI/CD script is not supporting those, and will not deliver your dataset to PROD environment - Customer service and support teams have very bad understanding of the inner workings of Dremio-Power BI integration

Dislike

- Very bad integration with Power BI - Very bad CI/CD capabilities (they provide an unsupported python script to do CI/CD to handle DEV & PROD environments, but it is not capable of dealing with some native Dremio objects. Like for example if you develop a Dremio dataset in DEV environment, on which you apply Row-Level Security or as they call it Row access Policy, then the provided CI/CD script is not supporting those, and will not deliver your dataset to PROD environment - Customer service and support teams have very bad understanding of the inner workings of Dremio-Power BI integration