Dremio

Funded

Agentic lakehouse platform unifying data for AI and analytics.

About Dremio

Dremio provides a comprehensive lakehouse platform designed to unify and accelerate data analytics and AI workloads across enterprises. Its platform supports a broad range of deployment options including fully managed cloud services and self-managed software on Kubernetes, enabling organizations to operate in cloud, on-premises, or hybrid environments. Dremio's technology integrates open standards such as Apache Iceberg, Polaris, and Arrow to deliver high-performance querying, data federation, and semantic layering without the need for complex ETL processes.

Targeted at large enterprises across industries like financial services, manufacturing, life sciences, retail, and technology, Dremio empowers data teams to deliver governed, secure, and autonomous data experiences. The platform’s AI semantic layer and federated query engine provide a single source of truth, enabling seamless access to structured and unstructured data. With built-in security features including fine-grained access control, dataset lineage, and compliance with SOC 2, ISO 27001, and HIPAA standards, Dremio supports enterprise-grade governance and data sovereignty.

Key Capabilities

✓Agentic AI lakehouse platform
✓Federated query engine with no ETL
✓AI semantic layer for unified business context
✓Automated table optimization and autonomous management
✓End-to-end fine-grained access control and security

Integrations

Azure Active DirectoryOktaPing Identity

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This profile was compiled by CIOPages from public sources with AI assistance, and may be incomplete or out of date. It is informational only and not an endorsement. Represent this vendor? or .