Data Streams
Enterprise-grade streaming with 140,000 event/sec and 200ms latency. No code, no Kafka – just simplicity and maximum control.
Multi-Language Support
Data engineers can use SQL on multiple backends (Snowflake, BigQuery, Redshift), native dbt for managing SQL models, Python and R in hosted JupyterLab environments, and even specialized languages like Julia.
Isolated Dev Workspaces
Develop and test code in isolation before affecting production data. Workspaces create sandbox copies of your data where even a mistaken DROP TABLE won't harm your primary datasets.
Real-time CDC
Capture and synchronize 1 million rows under 1 minute. Log-based CDC with Debezium that outperforms specialized tools like Fivetran.
Safely Experiment with Zero Risk
Accelerate innovation with enterprise-grade security, governance, and observability. Test new ideas in isolated sandboxes—every action is tracked, compliant, and auditable.