Features
Decoupled compute and storage on S3
Real-time streaming ingestion via Kafka
Change data capture via Flink and Debezium
Built-in Python sandbox for ML workflows
Vector and full-text search
BI tool integrations (Metabase, Grafana, Tableau, Superset, Redash)
dbt and Airbyte ELT integration
JDBC/SQLAlchemy driver for Python, Go, Java, Node.js, Rust
Multi-modal analytics: BI, search, AI, geo
AI analyst answers natural-language questions
Managed Snowflake warehouse auto-syncs data
Pre-built ARR, pipeline, retention dashboards
Scheduled Slack push of key metrics
Writeback to CRM (Salesforce, HubSpot)
Infinity: no row limits on large datasets
Embed live charts in Notion or Coda
Forward Deployed Analyst for initial setup
Data refresh every 6 hours (Essential)
Unlimited viewers and editors on all plans
BI Spreadsheet with direct data connection
Dashboards backed by spreadsheet logic
Sales commission calculator
Customer cohort and retention analysis
Role-based access with SSO (Enterprise)
