How to Build Your Own Dremio
Replace Dremio with a custom build. The Agentic Lakehouse for AI and Analytics
Build Difficulty: 5/5
Build a working replacement in a weekend with AI tools
Estimated Timeline
Based on 29 features at Weekend Project difficulty, expect about One weekend with AI-assisted development.
Recommended Tech Stack
Full-stack React framework with API routes and server components
PostgreSQL database, auth, and real-time subscriptions
Utility-first styling for rapid UI development
Key Features to Replicate
Top features across 8 categories. See all 29 features
Data Integration(10 features)
Co-creator of Arrow, the leading columnar, in-memory representation and interchange
Key contributor to Apache Iceberg, the leading open table format for lakehouses
Co-created Polaris, the leading Iceberg catalog for lakehouse management
Built on Apache Iceberg REST Catalog specification enabling compatibility with Spark, Flink, and other tools
Connect disparate data sources across hybrid and multi-cloud environments with a unified architecture that enables consistent governance, discovery, and access controls
+5 more in this category
Performance(6 features)
Intelligent Query Engine based on Apache Arrow, with LLVM-based code generation for maximum CPU efficiency
Automatically optimizes data layout on disk, without the downsides of traditional partitioning
Automatically pre-computes aggregations, joins, and other materializations to accelerate common query patterns
Automatically caches hot data on local SSDs, speeding up data access by reducing object storage reads
Automatically organizes data for optimal performance without manual partition management
+1 more in this category
AI(5 features)
Use any agent (integrated analyst agent or choose your own) to find and query data to deliver insights and visualizations
Gives AI the context required to find the right data and deliver accurate, trusted answers
Find data using plain language with AI-enabled semantic search capabilities
Continuously analyzes query patterns and automatically creates Autonomous Reflections, applies Iceberg Clustering, and optimizes tables without human intervention
Provides zero-integration connectivity to LLMs and AI frameworks with direct access to enterprise data
Developer Tools(2 features)
ARP (Advanced Relational Pushdown) framework allows building custom connectors with community-created options available
Support for REST, ODBC, JDBC, and Apache Arrow Flight interfaces with Python libraries including dremio-simple-query and pyDremio
Data Management(1 features)
Optimize Iceberg tables from non-Dremio catalogs using OPTIMIZE and VACUUM commands
Governance(1 features)
Fully managed and supported Polaris catalog with fine-grained and role-based access control for end-to-end governance
Integrations(1 features)
One-click integrations with Power BI, Tableau, and other BI platforms for faster dashboards and queries
Migration(1 features)
Get faster performance, more flexibility, and lower management overhead than traditional warehouses
Cost Calculator
Pricing data not available for Dremio. Check their website for current pricing.