Dremio
UnclaimedThe Agentic Lakehouse for AI and Analytics, providing fast, governed, and unified data access.
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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
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
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 TrialDremio Cloud
$0.20 per DCU
- Zero Infrastructure Management
- Instant Setup
- Automatic Feature Releases
- AI Agent
- AI Semantic Layer
- Intelligent Query Engine
- Open Catalog
- Dremio-managed Infrastructure Management
- AWS (Azure Coming Soon) Supported Infrastructure
- Consumption based Pricing Model
- Automatic - zero downtime Upgrades
- Auto Scale Scalability
- Enterprise Ready Security & Compliance
Dremio Enterprise
Contact Sales
- Complete Infrastructure Control
- Flexible Deployment
- Custom Integration
- AI Agent
- AI Semantic Layer
- Intelligent Query Engine
- Open Catalog
- Self-managed Infrastructure Management
- K8S (On prem) or Cloud (AWS, Azure, GCP) Supported Infrastructure
- Consumption based Pricing Model
- Self-managed Upgrades
- Manual Scale Scalability
- Enterprise Ready Security & Compliance
About Dremio
By Toolradar Team·
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.
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Dremio FAQ
What is Dremio?
Dremio is an "Agentic Lakehouse" platform that provides a high-performance, unified data layer for AI and analytics. It allows users to query data across various sources without ETL, provides an AI Semantic Layer for context, and is built on open lakehouse standards like Apache Iceberg and Apache Arrow.
How much does Dremio cost?
The provided content does not specify pricing details, but it is positioned as an enterprise solution, suggesting a paid model.
Is Dremio free?
The provided content does not indicate a free tier or trial. It is presented as a paid enterprise solution.
Who is Dremio for?
Dremio is for data engineers, data scientists, BI teams, and organizations looking to modernize their data infrastructure, accelerate AI initiatives, unify data for analytics, and build open data lakehouses with high performance and governance.
Source: dremio.com