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Homepage | The Agentic Lakehouse
The Agentic Lakehouse - a complete Iceberg-native data platform built for agents and managed by agents. Queries, transforms, ingests, governs, and accelerates data across every source with sub-second performance.
Platform Overview | Dremio
Full platform overview of the five-layer Agentic Lakehouse architecture: Agent Interface, AI Semantic Layer, Intelligent Query Engine, Open Catalog, and Data Layer.
Dremio Cloud
Fully managed SaaS lakehouse on AWS. Consumption-based pricing (DCUs), Autonomous Reflections, Elastic Engines that scale to zero, and hosted MCP server. Free trial with $400 in credits.
Dremio Software (Enterprise)
Self-managed deployment for Kubernetes, private cloud, and on-premises. For organizations with regulatory or infrastructure requirements that preclude SaaS.
Dremio Community Edition
Free single-node query engine for development and evaluation. Start querying your data with no cost or commitment. Not intended for production use.
Platform capabilities
Dremio AI Agent
Built-in conversational agent for data discovery, transformation, visualization, semantic management, and SQL generation. Integrated with catalog and governance controls. No setup required.
AI Semantic Layer
Unified business context spanning all federated sources - wikis, AI-generated labels, metrics, dimensions, and calculated fields. Every agent and analyst draws from the same definitions.
Intelligent Query Engine
Apache Arrow-native engine with LLVM codegen, federation across 36 data sources, Autonomous Reflections, C3 columnar caching, and Elastic Engines. 20x faster than Snowflake on TPC-DS 1TB.
Dremio AI Agent
Iceberg REST catalog built on Apache Polaris (ASF top-level project, co-created by Dremio). Any Iceberg REST engine - Spark, Flink, Trino, DuckDB - reads and writes through the same catalog.
Connectors & Integrations
36 native connectors across object storage, relational databases, NoSQL, and cloud data warehouses. JDBC, ODBC, Arrow Flight, REST API, MCP, BI tool integrations (Tableau, Power BI, Looker, Qlik).
Solutions
Solutions Overview
Dremio solutions for enterprise data teams - AI-ready data infrastructure, cloud data warehouse migration, data fabric, federated query, and self-service analytics on the data lake.
Agentic Analytics
Connect any AI agent to governed enterprise data through the open MCP server. Agents discover datasets, inspect schemas, trace lineage, and execute governed SQL with full business context.
Data Unification for AI & Analytics
Federate queries across all data sources - Snowflake, S3, PostgreSQL, BigQuery - in a single SQL workflow. No ETL, no data movement. Granicus achieved 10-1000x faster queries across 40+ sources.
Warehouse to Lakehouse
Migrate from cloud data warehouses to an open Iceberg lakehouse. Reduce compute costs by 30-70% using Autonomous Reflections to serve repeated BI queries from pre-computed Iceberg tables.
Lake to Iceberg Lakehouse
Transform an existing data lake into a fully governed Iceberg lakehouse. Full DML, native Z-order clustering, auto-compaction, and Open Catalog on Apache Polaris - no proprietary lock-in.
Data Fabric
Build a unified data fabric across hybrid, multi-cloud, and on-premises environments. Query data in place across 36 source types with consistent governance and semantic context.
Open source
Apache Iceberg
Dremio native table format. Full DML support (INSERT, UPDATE, DELETE, MERGE), native Z-order clustering at GA, time travel, schema evolution, and multi-engine interoperability. Co-created by Dremio.
Apache Arrow
Columnar in-memory data format powering Dremio query engine. Enables high-throughput result delivery via Arrow Flight and zero-copy interop with Python, Pandas, Polars, and DuckDB.
Apache Polaris Guide (gated)
Open standard for Iceberg catalogs - ASF top-level project co-created by Dremio. Any Iceberg REST engine reads and writes through the same catalog with credential vending and RBAC.
Resources & content
Resources
Guides, whitepapers, analyst reports, and reference documentation for data engineers, architects, and analytics teams building on the Dremio Agentic Lakehouse platform.
Blog
Technical deep-dives, product announcements, lakehouse architecture guides, Apache Iceberg tutorials, and GEO/AI visibility commentary from the Dremio engineering and product teams.
Product Documentation
Complete technical reference for Dremio Cloud and Software - setup, configuration, SQL reference, Reflections, MCP Server, REST API, Arrow Flight, and PAT authentication.
Community Forum
Forum for Dremio users and contributors. Ask questions, share solutions, and connect with the broader Apache Iceberg and data lakehouse community.
Top Data Lakehouse Tools
Guide to the leading data lakehouse tools - Iceberg-native query engines, catalogs, and platforms compared on architecture, performance, and governance.
Semantic Layer Tools
Comparison of the top semantic layer tools for unifying business metrics across BI and AI workloads. Architectures, integrations, and governance capabilities reviewed.
Unified Data Management Solutions
Review of leading unified data management solutions for enterprise analytics and AI - federation, governance, semantic context, and lakehouse architecture compared.
Company
Customers
Enterprise customer stories - Shell, Amazon, TransUnion, World Bank, Maersk, Granicus, Quebec Blue Cross, and Genomics England. Production results across energy, finance, logistics, and government.
Awards & Recognition
#1 on Gartner Peer Insights (4.7/5, 90% recommend), #1 Dresner 2025 Active Data Architecture Study, G2 Leader, Forrester 2026 Data Lakehouse Landscape. All third-party analyst recognition.
Newsroom
Press releases, analyst coverage, and company announcements from Dremio - product launches, partnerships, industry recognition, and executive commentary.
Get Started — Free Trial
Start a free Dremio Cloud trial with $400 in credits. All enterprise features included. No credit card required. Account preserved for 30 days after trial ends before deletion.
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The 8 best data mesh software vendors of 2025 for decentralized, domain-oriented data architectures. Platform capabilities, strengths, and enterprise use cases.
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The top 10 AI data lakes powering modern analytics and agent-driven applications - open formats, governance, and performance at AI scale.
Why Dremio
Dremio vs Databricks
Compare Dremio vs Databricks for lakehouse analytics. See how Dremio's Iceberg-native architecture, Autonomous Reflections, and agentic AI deliver faster BI at lower cost.
Dremio vs Redshift - Cost Advantage
How Dremio's Agentic Lakehouse cuts costs versus Amazon Redshift through open Iceberg storage, Autonomous Reflections, and Elastic Engines that scale to zero.
Dremio vs Denodo
Dremio vs Denodo for federated query and data virtualization. Unified semantic layer across 36 sources, sub-second BI performance, and an open Iceberg lakehouse foundation.
Dremio vs Trino
Compare Dremio and Trino as lakehouse SQL engines - query performance, Autonomous Reflections, semantic layer, governance, and total cost of ownership.
Dremio vs Starburst
Why enterprise teams choose Dremio over Starburst - native Iceberg, Autonomous Reflections, AI semantic layer, and proven customer outcomes.