Dremio Reviews, Ratings & Features 2026 | Gartner Peer Insights

A lakehouse is a converged infrastructure design environment that combines the semantic flexibility of a data lake with the production optimization and delivery capabilities of a data warehouse. Data lakehouses are considered transformational and can serve as the foundational analytic data store for the organization. They are designed to unify the capabilities of data warehouses and data lakes into a single platform to support comprehensive data management and AI lifecycle.

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Data Lakehouse Platforms

Dremio Agentic Lakehouse Platform

Dremio

Data Analyst

Dremio is an easy to use data Lakehouse engine that allows fast, federated access to a wide range of data source

250M - 500M USD

10B - 30B USD

30B + USD

<50M USD

50M - 250M USD

1B - 3B USD

3B - 10B USD

500M - 1B USD

Director of IT

It is okay, fairly easy to use but you need to have some experience with a sql like tool 

Data and Analytics Manager

Our overall experience with Dremio Cloud has been very positive. The platform stands out for its fast time to value, intuitive user experience and strong performance on large datasets. Being able to quickly make data available for analytics and combine it with AI has improved how our team works with data. In addition, Dremio's commitment to open standards such as Apache Iceberg provides long-term flexibility and reduces vendor lock-in. That said, the partner ecosystem is still evolving and we would welcome a broader set of native connectors and integrations with additional third-party tools.

Other...

Microsoft

Amazon Web Services (AWS)

Google

Onehouse

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 is The Easy and Open Data Lakehouse, providing self-service analytics with data warehouse functionality and data lake flexibility across all of your data. Hundreds of organizations, including 3 of the Fortune 5, use Dremio to deliver mission-critical BI on the data lake. As the original creator of Apache Arrow, Dremio is on a mission to reinvent SQL for data lakes and meet customers where they are in their cloud journey. Dremio was founded in 2015 and is headquartered in Santa Clara, CA. Investors include Lightspeed Venture Partners, Redpoint, Norwest Venture Partners, Insight Partners and Sapphire Ventures. Connect with Dremio on GitHub, LinkedIn, Twitter, and Facebook.



Dremio is a company that aims to simplify data analytics by converging the capabilities of a data warehouse and data lake into a single platform, known as the Open Data Lakehouse. Its primary purpose is to assist numerous companies in delivering crucial Business Intelligence (BI), thereby focusing on the vast reserves of data housed in data lakes. Dremio, as the creator of Apache Arrow, has undertaken the task of adapting SQL, the standard language for relational database management, to better suit data lakes. Established in 2015 with the headquarters based in Santa Clara, CA, it also provides a platform for connection.

Reviews

Ratings Overview

Overall experience with

Favorable Review

A strong and easy-to-use platform delievering fast value

Critical Review

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

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