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

Dremio Agentic Lakehouse Platform

byDremio
in
4.5
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 and Analytics Manager
30B + USD, Software
FAVORABLE

“Dremio Simplifies Data Architecture But Reflections Require Practice and Skill”

5.0
Jan 16, 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.
Director of IT
10B - 30B USD, Services (non-Government)
CRITICAL

“Basic SQL Knowledge Needed for Easy Data Source Addition in This Tool”

3.0
Jan 20, 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.

Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

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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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Peer Discussions

Dremio Agentic Lakehouse Platform Reviews and Ratings

4.5

(19 Ratings)

Rating Distribution

5 Star
53%
4 Star
42%
3 Star
5%
2 Star
0%
1 Star
0%
Why ratings and reviews count differ?
  • Data and Analytics Manager
    10B+ USD
    Software
    Review Source

    Dremio Simplifies Data Architecture But Reflections Require Practice and Skill

    5.0
    Jan 16, 2026
    Our overall experience with Dremio has been excellent. It has significantly simplified our data architecture by removing extremely process heavy ETL. The platform overall is relaible, the UI is intuitive and it scales as data demand grows. Being early adopters of the Data Lakehouse also proved to be a signifcant step in a stable, scalable solution. Dremio bridges the gap between our raw data and business insights in a fast yet reliable manner.
  • Data and Analytics Manager
    10B+ USD
    Software
    Review Source

    Dremio Simplifies Data Architecture But Reflections Require Practice and Skill

    5.0
    Jan 16, 2026
    Our overall experience with Dremio has been excellent. It has significantly simplified our data architecture by removing extremely process heavy ETL. The platform overall is relaible, the UI is intuitive and it scales as data demand grows. Being early adopters of the Data Lakehouse also proved to be a signifcant step in a stable, scalable solution. Dremio bridges the gap between our raw data and business insights in a fast yet reliable manner.
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Dremio Agentic Lakehouse Platform Likes & Dislikes

Like

1. Data Reflections: This has been a game changer in query optimization. The dashboards load superfast resulting in lower frustration and waiting times for business users. 2. Data Lakehouse and single source of truth: I like it when the data sources act as a single source of truth and no mismatched copies lay around. This simplifies ETL, saves storage costs and builds trust! 3. Apache Iceberg : As the data world moves towards data lakehouse and iceberg, their native support is a big plus!

Like

1. Data Reflections: This has been a game changer in query optimization. The dashboards load superfast resulting in lower frustration and waiting times for business users. 2. Data Lakehouse and single source of truth: I like it when the data sources act as a single source of truth and no mismatched copies lay around. This simplifies ETL, saves storage costs and builds trust! 3. Apache Iceberg : As the data world moves towards data lakehouse and iceberg, their native support is a big plus!

Like

1. Data Reflections: This has been a game changer in query optimization. The dashboards load superfast resulting in lower frustration and waiting times for business users. 2. Data Lakehouse and single source of truth: I like it when the data sources act as a single source of truth and no mismatched copies lay around. This simplifies ETL, saves storage costs and builds trust! 3. Apache Iceberg : As the data world moves towards data lakehouse and iceberg, their native support is a big plus!

Dislike

Using the kubernetes cluster is a lot of administration

Dislike

Using the kubernetes cluster is a lot of administration

Dislike

Using the kubernetes cluster is a lot of administration

Reviewer Insights for: Dremio Agentic Lakehouse Platform