Dremio
Dremio is a data lakehouse platform for running high-performance SQL queries directly on cloud object storage and data lakes without moving or copying data. It combines an Apache Arrow-based MPP query engine, Autonomous Reflections for acceleration, and an Apache Iceberg / Apache Polaris-powered Open Catalog into a self-service semantic layer for analytics and agentic AI. Dremio is delivered as a fully managed service (Dremio Cloud) and a self-managed deployment (Dremio Enterprise), and exposes a REST API, Apache Arrow Flight SQL, Arrow Flight SQL JDBC/ODBC drivers, a developer CLI, a dbt adapter, and an official Model Context Protocol (MCP) server for connecting AI agents to the lakehouse.
Dremio publishes 1 API on the APIs.io network. Tagged areas include Company, Data Lakehouse, Analytics, SQL Query Engine, and Apache Iceberg.
Dremio’s developer surface includes documentation, API reference, getting-started guide, signup flow, pricing, engineering blog, support, and 24 more developer resources.
API Rating
APIs
Dremio Cloud REST API
REST API for Dremio Cloud covering the Open Catalog (sources, folders, tables, views, wikis, tags, lineage), SQL query execution and job management, Reflections, engines, projec...
MCP Servers
Dremio MCP Server
MCP SERVERResources
Get Started 3
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 3
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 3
Pagination, idempotency, versioning, errors, and events
Build 4
SDKs, sample code, and the tooling you integrate with
Access & Security 7
Authentication, authorization, and security posture
Scroll for all 7
Operate 5
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 1
The organization behind the API