DataForge
DataForge: Visual modeling and generated DDL for teams designing and maintaining data marts. Ranked #7 of 13 in Data Warehouse Automation Software by our editors (6.9/10); pricing: From $280/yr; best for teams wanting visual data-mart design and DDL.
At a glance
- Editor score6.9 / 10
- PricingFrom $280/yr
- Best forTeams wanting visual data-mart design and DDL
- Free planNo
- Facts checked24 Sep 2026
Where it wins
- Design fact tables visually and model across conceptual, logical, and physical layers
- Generate DDL and maintain data marts with database synchronization and checks
- Track model and schema changes with version control
Where it doesn't
- Analyst cannot edit other users’ projects or run SQL scripts for data marts
- Developer costs more than Analyst at $850 per year
- The free trial has limited functionality
Our verdict on DataForge
DataForge brings visual data-warehouse and DataMart design together with model generation and maintenance tools. It is aimed at BI teams, data engineers, enterprise architects, and business users who need to define fact tables and dimensional models, produce SQL, and keep schemas aligned. Its layered modeling spans conceptual, logical, and physical views, while drag-and-drop fact-table design offers a visual route into warehouse structure.
The plans divide viewing and project work from platform configuration. The Analyst plan costs $280 per year and is described for business users; it allows users to view and create projects, generate and view SQL scripts, and work with RMD and fact tables. The Developer plan costs $850 per year and adds editing of other users’ projects, data-mart work, and the ability to run SQL scripts for data marts. A free trial is available with limited functionality for evaluation. Teams should match permissions to responsibilities: Analyst covers project and script creation, while Developer is the tier for cross-user editing and data-mart execution.
Beyond design, DataForge includes automatic DDL generation, data-mart creation and maintenance, database synchronization and monitoring, integrity and consistency checks, and model and schema version control. KPI and dimension registry generation with AI, plus an MCP Server and conversational Analyst Agent, extend the product toward metric documentation and conversational analytics. The listed integrations are relational databases and MCP Server. Choose DataForge when visual warehouse modeling, DDL, and schema upkeep are central; teams seeking a specified warehouse-specific connector or deployment option should compare alternatives, as those capabilities are not described here.
DataForge pricing
All 3 DataForge plans and prices →
DataForge fact sheet
| Free plan | No |
|---|---|
| Paid from | Not verified |
| Deployment options | Not verified |
| Warehouse modeling | Not verified |
| Supported warehouses | Not verified |
| Version control | Yes |
| Code generation | Yes |
| Trial length | Not verified |
| Support | |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 2 integrations: Relational databases, MCP Server |
| Pricing | From $280/yr (source) |
| Website | dataforge.one |
| Facts checked | 24 Sep 2026 |
DataForge integrations
DataForge lists 2 integrations on its own site.
- Relational databases
- MCP Server
Alternatives to DataForge
- Coalesce TransformA cloud transformation workspace pairing reusable patterns with testing, lineage and Git deployments.10.0
- TimeXtenderEnd-to-end warehouse automation for teams prepared for annual enterprise pricing.8.3
- VaultSpeedA focused cloud platform for generating Data Vault models, transformations, and pipelines.8.2
See all DataForge alternatives →
DataForge vs the competition
- DataForge vs Coalesce Transform
- DataForge vs TimeXtender
- DataForge vs VaultSpeed
- DataForge vs BimlFlex
- DataForge vs Astera Data Warehouse Builder
- DataForge vs AutomateDV
Compare DataForge with any tool side by side →
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Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026
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