DREMIO CAPABILITIES
Dremio’s Open Catalog
Unified Metadata Management for an Agentic Lakehouse
Dremio’s Open Catalog (powered by Apache Polaris) is an Iceberg REST-compatible catalog that provides unified metadata management, fine-grained access controls, and data lineage, enabling a fully governed and high-performance Iceberg lakehouse for AI initiatives.
Solving the Challenges of Modern Data Governance
Challenge
As organizations build data lakehouses with Apache Iceberg to support modern AI, they face significant challenges in managing metadata and governance.
Fragmented Metadata
Multiple engines creates inconsistent security policies and broken data lineage, forcing teams to manually maintain governance across platforms.
Growing AI and ML Demands
Require data infrastructures that can rapidly prepare high-quality data while maintaining proper governance across all access points.
Costly deployment and management
Open-source catalog solutions drain resources as teams troubleshoot infrastructure rather than driving innovation with data.
Solution
Dremio’s Open Catalog (powered by Apache Polaris) delivers an Iceberg REST-compliant metastore that unifies governance and works with any AI agent and Iceberg-compatible engine.
Centralized Metadata
Provides enterprise-grade security, governance, and data discovery across your entire data ecosystem.
Seamless Integration
With any Iceberg-compatible engine eliminates vendor lock-in while maintaining consistent governance policies.
Flexible Deployment Options
The catalog is automatically available with any Dremio deployment whether it's on-premises or in the cloud, addressing data sovereignty needs and complex infrastructure requirements.
benefits
Complete Control, Enhanced Collaboration, AI-Ready Governance
Dremio's Open Catalog (powered by Apache Polaris) is an Iceberg REST-compatible catalog that governs and tracks data across any engine and cloud, providing the metadata foundation and lineage that enables AI agents and teams to securely access data with fine-grained access controls.
- Multi-Engine Interoperability: Read and write using any Apache Iceberg engine—including Spark, Flink, Dremio, and more—with concurrent access across workloads and pipelines.
- Cross-Engine Compatibility: Work with your preferred query engines using the industry-standard Iceberg REST API while maintaining consistent governance policies for both humans and AI agents.
- Hybrid Deployment Support: The catalog is automatically available with any Dremio deployment whether it's on-premises or in the cloud, addressing data sovereignty needs and complex infrastructure requirements.
- Comprehensive Security & Governance: Rapidly prepare, access, and utilize data for AI and ML initiatives with properly governed, federated, and easily discoverable datasets—enriched with lineage and metadata for explainable, trustworthy outcomes.
open-source
Powered by Apache Polaris
The Open Standard for Lakehouse Catalogs
Apache Polaris is the open, Apache Iceberg–native table and metadata catalog standard. It delivers interoperability across any compute engine, ensuring that data stored in Iceberg can be securely governed and accessed without proprietary lock-in. As an open standard, Polaris provides a shared foundation for data, analytics, and AI innovation across the ecosystem.
Why Apache Polaris Matters
Unlike vendor-controlled catalogs, Polaris provides a truly open alternative that puts control back in your hands:
- True Multi-Engine Support: Access and manage your Iceberg tables from any REST-compatible query engine with consistent governance across all of them
- Centralized Metadata Management: Organize and track all metadata for your Iceberg tables in one secure location
- Enterprise-Grade Security: Implement robust role-based access controls (RBAC) for catalogs, namespaces, and tables
- Cloud-Agnostic Flexibility: Works seamlessly with AWS S3, Google Cloud Storage, Azure, and more
- Atomic Operations: Ensures data consistency and reliability across your entire data estate

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