Sold by: Dremio
Deployed on AWS
Dremio Cloud is an AI-native, self-managing data platform that delivers real-time, governed analytics for both humans and AI. Powered by intelligent agents and active metadata, it continuously optimizes queries, data, and resources for sub-second performance - without manual tuning or complex ETL. Built on open standards like Apache Iceberg and Apache Polaris, Dremio Cloud unifies data across object storage, catalogs, and databases while ensuring accuracy, governance, and freedom from lock-in. Fast, open, and built for AI.
Contact our team for custom pricing or private offers.
Overview
Dremio Cloud, the Agentic Lakehouse, reimagines the modern data platform with agents at its core. It combines an intelligent, self-managing foundation with open architecture and AI-native capabilities to deliver real-time, governed analytics for every user, human or AI.
Unlike traditional lakehouses that require constant manual tuning and fragmented ETL pipelines, Dremio Cloud autonomously optimizes itself. Powered by active metadata intelligence, it continuously learns from workloads to rewrite queries, reorganize data, and optimize resources, delivering consistent sub-second performance without manual effort.
The platform unifies data across object storage, catalogs, and databases through query federation, while the AI Semantic Layer provides business context and governance, ensuring AI agents and users get accurate, trusted answers. Built on open standards like Apache Iceberg and Apache Polaris, Dremio Cloud eliminates lock-in and gives you full control over your data.
Whether you are building internal analytics, serving AI agents, or powering data applications, Dremio Cloud provides a single, autonomous lakehouse experience. Fast, open, and built for AI.
For custom pricing, EULA, or a private contract, please contact us for an AWS Private Offer.
Highlights
- Dremio Cloud continuously learns from every query, automatically optimizing performance, data layouts, and resource usage for sub-second analytics, no manual tuning required.
- Empower AI agents and business users with natural language access to governed data through the AI Semantic Layer and native MCP support.
- Connect all your data across object stores, catlaogs, and databases without ETL, powered by open standards like Apache Iceberg and Apache Polaris, all in a fully managed cloud service.
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Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Dremio Cloud | Committed Contract ($25,000 of Dremio Cloud credit), credit may take up to 48 hours to be reflected. | $25,000.00 |
Dimension | Cost/unit |
|---|---|
Dremio Usage (Each unit is 1 cent of usage.) | $0.01 |
Dimensions summary
This listing uses a committed contract model paired with usage-based billing. You buy the Committed Contract dimension as a block of Dremio Cloud credit, and credit may take up to 48 hours to appear in your account. Your actual consumption draws down against that credit through the Dremio Usage dimension, where each unit equals one cent of usage. Usage reflects compute you run on the fully managed platform. The contract sets your prepaid commitment, while the usage dimension tracks what you consume against it as workloads scale.
Top-of-mind questions for buyers
Each usage unit equals one cent of consumption. Consumption is driven by compute measured in Dremio Compute Units (DCUs). A DCU measures engine runtime, calculated as engine size multiplied by minutes running. Query execution, Reflections, and background processing all consume DCUs. Infrastructure costs are included in that compute measurement.
Compute usage rises as workloads expand through larger datasets, more users, and heavier queries. Machine learning workloads and heavy ad-hoc exploration typically drive the most growth. Clusters auto-scale up during peak demand and spin down when idle, so consumption tracks the work you actually run.
Your committed credit covers compute you run on the fully managed platform, drawn down through the Dremio Usage dimension. Storage stays in your own object storage and is not marked up by this platform, so those costs remain separate under your control.
www.dremio.com
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Dremio Cloud is an AI-native, self-managing data platform that delivers real-time, governed analytics for both humans and AI. Powered by intelligent agents and active metadata, it continuously optimizes queries, data, and resources for sub-second performance - without manual tuning or complex ETL. Built on open standards like Apache Iceberg and Apache Polaris, Dremio Cloud unifies data across object storage, catalogs, and databases while ensuring accuracy, governance, and freedom from lock-in. Fast, open, and built for AI.
Contact our team for custom pricing or private offers.
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