Create realistic data forBusiness Intelligence
The Data Structure Gap
Most synthetic data tools generate flat files. We generate analytical models.
Standard Generators
- Flat, unstructured datasets
- Referential integrity violations
- Uniform or random distributions
- Requires extensive preprocessing
- Semantically meaningless values
Data for BI
- Native Star & Snowflake Schemas
- Enforced Referential Integrity
- Analytical Statistical Distributions
- Optimized for BI Platforms
- Context-aware Data Generation
Engineered for Analytics
Develop, test, and demonstrate complex data scenarios on architecturally accurate data.
Relational Modeling
Generate complete data models with defined Fact and Dimension relationships, not just isolated tables.
Deterministic Integrity
Strict enforcement of primary and foreign key relationships ensures error-free data loading and modeling.
Natural Language Configuration
Define business logic and data scenarios using plain English to generate contextually accurate datasets.
Platform Scaling
Optimized output for Modern BI tools, including correct date dimensions and typed keys.
High-Volume Generation
Scalable architecture capable of generating millions of rows for performance testing and benchmarking.
API Integration
Connect directly to your data pipelines via our REST API. Generate and load data on demand.
Ready to create realistic data?
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