Features
AI-powered pipeline generation via natural language
Integration with Claude, Cursor, and ChatGPT via MCP
700+ data connectors for ETL/ELT
SQL, Python, and R transformations
Visual pipeline builder (Flow Builder)
Real-time data ingestion (Data Streams)
Change Data Capture for databases
Active Metadata management and Data Catalog
Activity Center for monitoring and logging
OpenTelemetry OTLP endpoint for observability
Enterprise security (SOC 2 Type II, GDPR, HIPAA)
Dev/Prod mode with Git CI/CD
SAML and Google/Azure SSO
Kai AI Data Engineering Assistant
Keboola MCP Server included in Free plan
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
