Dremio
Claim this toolThe Agentic Lakehouse for AI and Analytics, providing fast, governed, and unified data access.
Visit WebsiteReviews onG2
69 reviews trackedThe Bottom Line
Entry price
Free plan available, paid tiers above
Biggest pro
Significantly improves query performance (e.g., 10x faster, millisecond latency)
Biggest con
No explicit mention of a free tier or trial on the provided pages
TL;DR - Dremio
- Unifies data across sources with zero ETL for AI and analytics.
- Provides an AI Semantic Layer for trusted AI context and accurate answers.
- Offers 20x performance at lower cost through autonomous optimizations and open standards.
Pricing: Free plan available
Best for: Growing teams
4.6/5 across review platforms
What is Dremio?
Dremio is an "Agentic Lakehouse" platform designed to accelerate AI and analytics initiatives by providing a unified, high-performance data layer. It allows organizations to federate queries across diverse data sources, including on-premises and cloud data lakes, without the need for complex ETL processes. Dremio creates an AI Semantic Layer that gives AI models the necessary context to deliver accurate and trusted answers, supporting both integrated analyst agents and custom AI frameworks.
The platform is built on open lakehouse standards like Apache Iceberg, Apache Arrow, and Apache Polaris, ensuring interoperability and avoiding vendor lock-in. It offers features like Autonomous Reflections for query acceleration, Automatic Iceberg Clustering for data layout optimization, and a Columnar Cloud Cache for faster data access. Dremio aims to provide data warehouse performance and functionality with data lake flexibility, reducing costs and complexity for data teams across various industries.
Available on: Web
Pros & Cons
Pros
- Significantly improves query performance (e.g., 10x faster, millisecond latency)
- Reduces data setup time and eliminates manual work (e.g., 90% reduction, 60hrs eliminated)
- Provides unified access to data across diverse sources without ETL
- Offers robust data governance and security with fine-grained access control
- Built on open-source standards (Apache Iceberg, Arrow, Polaris) for flexibility and avoiding lock-in
Cons
- No explicit mention of a free tier or trial on the provided pages
- Requires understanding of lakehouse architecture concepts
Ratings Across the Web
4.6(69 reviews)
Ratings aggregated from independent review platforms. Learn more
Preview
Key Features
AI Semantic Layer for trusted AI contextData Unification with Zero ETL and AI functions for unstructured dataAgent Choice for data querying and visualization (integrated or custom)Open Catalog (Apache Polaris) with fine-grained access controlAutonomous Reflections for query accelerationAutomatic Iceberg Clustering for data layout optimizationArrow-Based Intelligent Query Engine with LLVM-based code generationColumnar Cloud Cache (C3) for speeding up data access
Pricing Plans
Free TrialPricing checked Jul 5, 2026
Dremio Cloud
$0.20 / DCU
Everything in all plans, plus:
- Zero Infrastructure Management
- Instant Setup
- Automatic Feature Releases
- Dremio-managed Infrastructure Management
- AWS (Azure Coming Soon) Supported Infrastructure
- Automatic - zero downtime Upgrades
- Auto Scale Scalability
Dremio Enterprise
Contact Sales
Everything in all plans, plus:
- Complete Infrastructure Control
- Flexible Deployment
- Custom Integration
- Self-managed Infrastructure Management
- K8S (On prem) or Cloud (AWS, Azure, GCP) Supported Infrastructure
- Self-managed Upgrades
- Manual Scale Scalability
Included in all plans
- AI Agent
- AI Semantic Layer
- Intelligent Query Engine
- Open Catalog
- Consumption based Pricing Model
- Enterprise Ready Security & Compliance
Reviews
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4.6/5
Across 69 verified user reviews on G2
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Dremio FAQ
How does Dremio enable faster analytics?
Dremio accelerates analytics by providing a unified, high-performance data layer and features like Autonomous Reflections for query acceleration. It is designed to deliver data warehouse performance and functionality with data lake flexibility, significantly improving query speeds.
Which teams benefit most from using Dremio?
Data teams focused on AI and analytics initiatives, particularly those dealing with diverse data sources, will find Dremio most beneficial. It helps reduce data setup time and eliminates manual work, allowing these teams to achieve faster insights.
How does Dremio compare to Databricks for data access?
Dremio focuses on providing unified access to data across diverse sources without requiring complex ETL processes, acting as an Agentic Lakehouse. It emphasizes federating queries across on-premises and cloud data lakes, built on open lakehouse standards.
What kind of data governance does Dremio offer?
Dremio provides robust data governance and security features, including fine-grained access control. This ensures that data access is managed effectively across the unified data layer.
Does Dremio support open data standards?
Yes, Dremio is built on open lakehouse standards such as Apache Iceberg, Apache Arrow, and Apache Polaris. This design promotes interoperability and helps organizations avoid vendor lock-in.
How is Dremio priced?
Dremio is available on a free tier, with additional paid plans offered for increased usage and advanced features. This allows users to start with basic functionality and scale up as needed.
What are the main trade-offs when implementing Dremio?
A primary consideration for implementing Dremio is that it requires an understanding of lakehouse architecture concepts. While it offers significant performance and unification benefits, familiarity with these principles is helpful.
Source: dremio.com