Features
AI Data Analyst for natural language queries
AI Vision: extract data from PDFs and images
50+ built-in integrations with auto-refresh
Embeddable interactive dashboards and charts
RowsX browser extension for web table scraping
Pre-built templates (marketing, finance, SEO)
Dynamic model and calculator building via AI
Conditional formatting, sorting, filtering
Rows API for programmatic access
Zapier, Make, Looker Studio connectors
Cell enrichment from public databases
Interactive elements: buttons, checkboxes, forms
Period-over-period data comparisons
Formula columns for automated calculations
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
