Powerful Features for Modern Data Teams
AI-powered data modeling, database deployment, lineage tracking, and more — designed to streamline your data workflow.
AI Assistant
An integrated AI assistant that helps you generate DBML schemas from natural language, modify existing models, explore your data, and get intelligent recommendations throughout your workflow.
- Natural language schema generation
- AI-powered model modification
- Contextual suggestions and insights
- Chat-based data exploration
- Intelligent workflow recommendations
- Integrated across all modules
Data Ingestion
Bring data into your platform from multiple sources. Upload files with drag-and-drop, connect to cloud storage, and let automatic schema detection handle the rest.
- Drag-and-drop file uploads
- Cloud storage integration
- Automatic schema detection
- Multiple file format support
- Data source management
- Integration with Datarelax connectors
Build & Visualize Data Models
Design database schemas visually with our intuitive drag-and-drop DBML editor. Generate schemas with AI, track versions, deploy DDL to databases, and trace column-level lineage.
- Visual DBML editor with drag-and-drop
- AI-powered schema generation & modification
- Source and converted model management
- Semantic versioning for all models
- Column-level data lineage tracking
- SQL mapping and transformation definitions
- DDL generation and database deployment
- Data loading script management

Data Lineage
Automatically extract and visualize column-level lineage from SQL mappings. Trace data flow from source to target across models, tables, and columns with interactive lineage diagrams.
- Column-level lineage tracking
- Automatic lineage extraction from SQL
- Model-level and table-level views
- Interactive lineage visualization
- Multi-model lineage filtering
- Source-to-target data flow tracing

Model Lineage
Map and visualize the full dependency graph across all your data models. Understand how changes to one model ripple through your ecosystem with impact analysis and version-aware lineage tracking.
- Cross-model dependency mapping
- Impact analysis for model changes
- Version-aware lineage tracking
- Visual dependency graph
- Upstream and downstream tracing
- Model change propagation alerts

Intelligent Data Pipelines
Automate and monitor complex data workflows with visual DAG-based orchestration. Build reliable ETL/ELT pipelines without the infrastructure headaches.
- Visual pipeline builder
- DAG-based orchestration
- Scheduling and monitoring
- Built-in error handling and retries
- Integration with Datarelax connectors
- Custom transformations with Python/SQL
AI-Powered Analytics
Turn raw data into actionable insights with AI-driven analysis. Interactive dashboards, natural language queries, and automated reporting.
- AI-powered data exploration
- Natural language query interface
- Interactive dashboard builder
- Custom visualizations and charts
- Integration with Datarelax models
- Scheduled reports and alerts

Database Connectors & Environments
Manage connections to 6 supported database types with encrypted credentials, connection testing, and status monitoring. Configure deployment environments to push your models directly to target databases.
- PostgreSQL, MySQL, MongoDB connectors
- SQL Server, Redis, SQLite support
- Encrypted credential storage
- Connection testing and status monitoring
- Deployment environment management
- Connection pooling and SSL/TLS support

Supported Databases
Connect to your databases with encrypted credentials, connection testing, and status monitoring
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