BI Teams & Data Engineers
Design and deploy data warehouses faster and more efficiently.
DataForge
AI ReadyAn innovative tool for collaborative data warehouse design and modeling. Centralized construction and maintenance of the DataMart layer. Visual modeling, automatic generation of models and DDL scripts, and business logic documentation.
DataForge integrates AI agents and the MCP Server to significantly expand the platform’s capabilities. These components automate the creation of the KPI & Measurement Registry, transform existing DWH structures into a fully defined semantic layer, and enable secure, governed access for AI models to both data and metadata.
About the Product
What is DataForge?
DataForge is an innovative platform for collaborative design and visual modeling of enterprise-grade data warehouses (DWH). It enables centralized development and maintenance of the DataMart layer with visual modeling, automatic generation of models and DDL scripts, and comprehensive documentation of business logic.
You can visually design fact tables with drag-and-drop tools, automatically generate logical and physical data models, document metrics and attribute definitions, and export ready-to-run DDL scripts for relational databases.
With built-in AI agents and the MCP Server, DataForge evolves from a traditional data-modeling tool into a complete, intelligent analytics platform. AI can automatically generate KPI registries, answer business questions, build SQL queries, and create HTML dashboards - all using the semantic layer and Data Mart data. DataForge brings together data modeling, semantic governance, and AI-driven analytics into a single, cohesive solution, accelerating the delivery of insights across the enterprise.
Key Features
Data Warehouse Implementation
- Automatic DDL script generation
- Integration with relational databases
- Support for conceptual, logical, and physical modeling layers
- Continuous data synchronization and monitoring
- Data integrity checks
- Model and schema version control
Business-Focused Data Management
- Definition and management of business indicators, dimensions, and metrics
- Creation and maintenance of data marts
- Seamless synchronization with source systems
- Built-in data consistency verification
- Update and maintenance of existing models
Data Modeling & Design
- Drag-and-drop visual fact table designer
- Auto-generation of logical and physical data models
- Entity-Relationship (ER) diagrams
- Documentation of business logic
Flexible DataMart Creation Options
- Single-fact tables with grouping or aggregation
- Multi-fact marts via joins on common dimensions
- Multi-fact marts via UNION ALL with differentiation fields
- Combined marts with UNION ALL and pivoted measures
AI tools
AI Agent for KPI & Measurement Registry
Automatically generates a complete KPI and Measurement Registry from existing technical assets. The agent analyzes database structures, interprets business meaning, and produces clean metric and dimension definitions with accurate, human-readable descriptions.
MCP Server (Model Context Protocol)
Acts as a secure integration layer between DataForge metadata and LLMs. MCP provides standardized access to the semantic layer, ensuring consistent, governed interaction between enterprise data, AI agents, and analytical workflows.
AI Agent for HTML Dashboard Generation
Builds analytical HTML dashboards from natural-language requests. The agent interprets the semantic layer, writes accurate SQL, retrieves Data Mart data, and delivers ready-to-use charts, tables, and interactive visual elements automatically.
Problems DataForge Solves
Why Choose DataForge?
Problems DataForge Solves
Value Proposition
Who is DataForge for?
Enterprise Architects
Maintain consistent, scalable data models across projects and departments.
Business Users
Define key metrics and dimensions for analytics — without technical barriers.
What else
Functionality Overview
Core Capabilities
- Define business indicators and dimensions
- Create fact and reference tables
- Build metrics based on defined measures and dimensions
- Design and manage data marts
- Generate and deploy DDL scripts
- Connect to existing DWH systems
Main Advantages
- Accelerated DWH deployment
- Reduced manual effort and fewer errors
- Improved documentation and governance
- Seamless integration with your current infrastructure
- Data validation and audit tools
- Continuous synchronization of models and real databases
Pricing & Licensing
Flexible plans for businesses of any size.
Options:
- Free trial version
- Small business subscription
- Corporate license
- Enterprise edition (private cloud)
Licensing is subscription-based; the price depends on the number of users and technical limits.
|
Feature / Plan |
Basic |
Professional |
Corporate |
|
Price (approx.) |
Free |
59,900$/month |
Custom quote |
|
Users |
1 |
Up to 5 |
Unlimited |
|
Active Projects |
1 |
Up to 10 |
Unlimited |
|
Project Versions
|
1 |
Up to 30 |
Unlimited |
|
SQL Script Generation & Testing |
✅ |
✅ |
✅ |
|
Project Versioning |
❌ |
✅ |
✅ |
|
DWH View Management |
❌ |
✅ |
✅ |
|
Access Control (RBAC) |
❌ |
✅ |
✅ |
|
Advanced Security |
❌ |
✅ |
✅ |
|
User Activity Audit |
❌ |
✅ |
✅ |
|
Support |
Standard (email) |
Priority (email + chat) |
Dedicated (manager + SLA) |
|
Deployment |
SaaS (cloud) |
SaaS (cloud) |
SaaS/Private Cloud |
|
Training |
Documentation Portal |
Extra learning materials + webinars |
Personalized training + project consulting |
How It Works
Step 1: Define Business Requirements
Document your key business indicators, dimensions, and relationships.
Step 2: Build and Visualize the Data Model
Use intuitive drag-and-drop tools to design fact and dimension tables.
Step 3: Generate and Deploy SQL Scripts
Export automatically generated SQL scripts for seamless implementation.
Step 4: Synchronize and Maintain
Keep business requirements, data models, and databases perfectly aligned.
Possibilities
Product Roadmap
Upcoming developments include:
- Row-Level Security (RLS) and role-based access control
- Integration with Active Directory and LDAP
- Single Sign-On (SSO) support
- Registration in the Russian software registry
- Enterprise private cloud deployment
- Advanced user activity monitoring and audit
