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Start here for the decision-making essentials: what Dremio does, who it is for, how it is accessed, and the first-party sources behind this profile.
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Dremio is an open, Iceberg-native data lakehouse platform with an Arrow-based query engine and Apache Polaris catalog. It supports federated queries, MCP integration for AI agents, autonomous query acceleration, and offers fully managed cloud or self-managed enterprise deployment.
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Short answers to the questions buyers and builders commonly ask about Dremio. Each answer cites the shared ledger below, where every source is listed once.
Open, high-performance data lakehouse platform built to accelerate AI and analytical workl · Iceberg-native platform with an Arrow-based query engine and Apache Polaris Open Catalog t · MCP integration that connects Claude, ChatGPT, Gemini and other agents to the lakehouse, p · Federated querying across any data source without moving data, supporting structured, semi
Open, high-performance data lakehouse platform built to accelerate AI and analytical workloads across all enterprise data
Used by 3 of the Fortune 5 and trusted by Fortune 500 companies for mission-critical BI on · Data-driven organizations and analysts
Hundreds of organizations, including 3 of the Fortune 5, use Dremio to deliver mission-critical BI on the data lake
Accelerating AI and analytics for data-driven companies via the Agentic Lakehouse · Used for agentic analytics, BI dashboards, ELT workflows, and AI-powered analytics on Iceb · Mission-critical BI and analytics · Replacing legacy data warehouse systems (e.g., Oracle, Cassandra) with a data lakehouse
See how leading data-driven companies accelerate AI and analytics with Dremio's Agentic Lakehouse
Dremio Cloud | pay-as-you-go at $0.20 per DCU, with annual contracts available for committ · Dremio Cloud Free Trial | $0/month | 30-day trial with $400 in credits, no credit card req
Dremio Cloud is available pay-as-you-go at $0.20 per DCU, so you only pay for what you use.
Data sources include AWS Glue, Hive, Amazon S3, Azure Data Lake Storage, Amazon Redshift, · BI and analytics clients including Tableau, Power BI, dbt, Looker, Microsoft Excel, and Ju · Operates as a query engine in the lakehouse layer alongside Apache Spark, Trino, and Apach · Supports Apache Iceberg with multi-engine compatibility including Spark, Flink, Trino, Pre
metastores like AWS Glue or Hive, local and cloud-based object storage like Amazon S3 and Azure Data Lake Storage, and databases, including Amazon Redshift, Snowflake, Oracle
Dremio Cloud is fully managed on AWS with zero infrastructure overhead · Dremio Enterprise supports on-premises, Kubernetes, or customer-managed cloud environments · Can be deployed via Docker and accessed in a web browser at localhost:9047 · AWS cloud
Dremio Cloud is the fastest way to get started. It’s fully managed on AWS with zero infrastructure overhead.
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Dremio: The Agentic Lakehouse for AI and Analytics | Dremio
Open, high-performance data lakehouse platform built to accelerate AI and analytical workl · Iceberg-native platform with Arrow-based query engine · Co-created Apache Polaris, an open source Iceberg catalog that graduated to a top-level Ap
Open, high-performance data lakehouse platform built to accelerate AI and analytical workloads across all enterprise data
Iceberg-native platform with an Arrow-based query engine and Apache Polaris Open Catalog that enables read/write across any Iceberg REST engine
MCP integration that connects Claude, ChatGPT, Gemini and other agents to the lakehouse, plus a Dremio CLI for coding agents
Federated querying across any data source without moving data, supporting structured, semi-structured, and unstructured data
Autonomous Reflections that observe query patterns to accelerate queries with no manual tuning, plus auto-scaling serverless architecture
End-to-end access control with fine-grained and role-based access controls, plus OAuth credential vending so AI agents inherit user identity
Dremio Cloud is fully managed on AWS with zero infrastructure overhead
Dremio Enterprise supports on-premises, Kubernetes, or customer-managed cloud environments
Dremio Cloud | pay-as-you-go at $0.20 per DCU, with annual contracts available for committed pricing
A concise view of the jobs, capabilities and integrations described in the recorded product sources.
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Dremio announced it has agreed to be acquired by SAP, pending regulatory approval, with the goal of delivering one open platform where agents reason over all enterprise data.
View source [16]Dremio announced an agreement to be acquired by SAP, with completion pending regulatory approval.
View source [16]Dremio Cloud made Apache Iceberg V3 spec support generally available, alongside expanded community leadership roles and Polaris momentum.
View source [5]Dremio Cloud shipped general availability support for the Apache Iceberg V3 specification alongside new community appointments and Polaris momentum.
View source [5]Apache Polaris, co-created by Dremio, graduated to a top-level Apache Software Foundation project, establishing its open governance.
View source [5]Facts, answers, structured details, milestones and primary resource links cite this shared ledger. Each external page appears once; release tags from the same GitHub project are grouped under one release history.
These tools share a workflow, capability or audience with Dremio. They may complement it rather than replace it, and are not presented as integrations or endorsements.
Dremio Cloud Free Trial | $0/month | 30-day trial with $400 in credits, no credit card required
TLS 1.2+ in transit and AES-256 at rest, with customer-managed encryption keys and PrivateLink connectivity
Tiered Dremio Support plans providing expert, responsive, and proactive support for Dremio Cloud and Enterprise customers
Open data lakehouse for self-service SQL analytics on data warehouses and data lakes
Only lakehouse platform built natively on Apache Iceberg
Data sources include AWS Glue, Hive, Amazon S3, Azure Data Lake Storage, Amazon Redshift, Snowflake, and Oracle
BI and analytics clients including Tableau, Power BI, dbt, Looker, Microsoft Excel, and Jupyter notebooks via ODBC, JDBC, or Arrow Flight
Supports open Model Context Protocol (MCP) via Dremio MCP Server for AI-native data discovery and queries
Co-created Apache Polaris, an open source catalog for Apache Iceberg that graduated to top-level Apache Project
Dremio Partner Network of Cloud, Technology, SI, and reseller partners delivering BI, data cataloging, data governance, and identity management integrations
Dremio, the original creator of Apache Arrow, on a mission to reinvent SQL for data lakes
2015
Santa Clara, CA
Accelerating AI and analytics for data-driven companies via the Agentic Lakehouse
Used by 3 of the Fortune 5 and trusted by Fortune 500 companies for mission-critical BI on the data lake
Iceberg-native data platform with AI Semantic Layer, federated queries, and open catalog powered by Apache Polaris
Agentic interface enabling the fastest path to agentic analytics
Unified metadata and governance layer with context that makes data understandable
Native ingestion, flexible transformation, and AI-assisted pipeline development for ELT workflows in the lakehouse
Provides an MCP (Model Context Protocol) server giving AI agents a supervised conversational interface to data
BusinessApplication data lakehouse platform
Runs on Cloud and Linux operating systems
Can be deployed via Docker and accessed in a web browser at localhost:9047
Operates as a query engine in the lakehouse layer alongside Apache Spark, Trino, and Apache Flink
Supports Apache Iceberg with multi-engine compatibility including Spark, Flink, Trino, Presto, DuckDB, Snowflake, and BigQuery
Apache Polaris implements the Iceberg REST Catalog API as an open standard for interoperability
Apache Polaris specification was co-created by Dremio and Snowflake in 2024 and donated to the Apache Software Foundation
Apache Polaris is an open catalog with 1.9K+ GitHub stars authored by its co-founders
