Strengths
- Combines notebook flexibility with modular code blocks for ETL workflows.
- Supports both real-time streaming and batch pipelines without per-row fees.
- Integrates dbt projects with Python and SQL for reusable data models.
- AI sidekick automates debugging, code generation, testing, and uptime monitoring.
- Scales vertically and horizontally to reduce infrastructure costs by up to 40%.
Limitations
- Compute costs are additional to base pricing, e.g., $0.29 per compute hour on Starter plan.
- Higher AI token limits and additional clusters require upgrading to Plus plan or above.
- Custom data integrations require Pro version and project setup using YAML configuration.