Features
Natural language querying across databases and APIs
Multi-step agentic reasoning for complex questions
Auto-generated visualizations (charts, tables, summaries)
Drill-down and follow-up questions
Supports PostgreSQL, MySQL, Snowflake, BigQuery, MongoDB, Redshift, and more
Connects to SaaS tools like HubSpot, Salesforce, Stripe, Google Analytics
Row-level security and data governance
Query history and sharing
High-fidelity synthetic data generation via TabularARGN
Agentic data science automation for training/sampling
Natural language AI Assistant executing Python code
Mock data generation for safe experimentation and testing
Simulated data for edge-case and what-if modeling
Multi-table synthesis with referential integrity
Time-series support and data rebalancing
Differential privacy with temperature control
Deployment on Kubernetes or Red Hat OpenShift
Open-source Synthetic Data SDK under Apache v2 license
Data connectors for Databricks, AWS, Snowflake, BigQuery
Real-time data access from production systems (e.g., Databricks)
Star schema and nested sequences support
REST API and Python Client for programmatic access
Conditional simulation and seeded generation
