DataForge
The facts below are what the maker publishes about DataForge, checked and dated. Our editors have not written about it yet.
Plans and prices
From DataForge's own pricing page, checked 4 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Free Trial | Free | Limited functionality · For evaluating the platform |
| Analyst | $280 a year | For business users · Cannot edit other users’ projects · Cannot work with data marts or run their SQL scripts · Annual subscription |
| Developer | $850 a year | For platform configuration and maintenance · Can edit other users’ projects · Can work with and run SQL scripts for data marts · Annual subscription |
The facts
Each one read from DataForge's own pages, with the date it was checked.
What it does
- AI features
- AI agents can generate KPI registries, answer business questions, generate SQL, and create HTML dashboards using the semantic layer and DataMart data.checked 4 Oct 2026
- Audience
- The site identifies BI teams, data engineers, enterprise architects, and business users as intended users.checked 4 Oct 2026
- Database integration
- The product lists integration with relational databases and synchronization with source systems.checked 4 Oct 2026
- Data checks
- Features include data integrity checks, consistency verification, synchronization monitoring, and model and schema version control.checked 4 Oct 2026
- DataMart design
- Data marts can combine facts through common-dimension joins or UNION ALL, including pivoted measures.checked 4 Oct 2026
- DDL generation
- DataForge automatically generates logical and physical models and DDL scripts for relational databases.checked 4 Oct 2026
- Governance
- The site describes a KPI and Dimension Registry for managing business indicators, dimensions, and metrics.checked 4 Oct 2026
- MCP integration
- The MCP Server provides an integration layer between DataForge-enriched enterprise data and large language models for analytics, data mart generation, modeling, and reporting.checked 4 Oct 2026
- Modeling
- The product supports conceptual, logical, and physical modeling, drag-and-drop fact table design, and ER diagrams.checked 4 Oct 2026
- Purpose
- DataForge is a collaborative platform for designing and visually modeling enterprise data warehouses and maintaining the DataMart layer.checked 4 Oct 2026
- Security
- The site describes the MCP Server as providing secure, standardized access to the semantic layer, data structures, and DWH repositories.checked 4 Oct 2026
- Security roadmap
- Row-level security, role-based access control, Active Directory and LDAP integration, single sign-on, and advanced activity monitoring are listed as upcoming developments.checked 4 Oct 2026
Money
- Plan limits
- Both paid plans exclude user management and system-log viewing; the Analyst plan also excludes editing other users’ projects and working with data marts.checked 4 Oct 2026
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