* Improved Data Validation & Anomaly Detection. * Seamless Integration with dbt. * Automated Data Quality Monitoring. * Intuitive Dashboard & Reporting. * Faster Issue Detection & Resolution. * Customization & Flexibility.

This project combines a startup mindset with an open-source approach, thriving on feedback and continuously improving. Setting up a robust base for data observability is fast and efficient, thanks to their intuitive batch configuration system and dbt-native approach. The UI is clean and user-friendly, but there’s room for improvement in making it easier to filter down and take action on alerts. Also, I like the team's incredible spirit and commitment to improving the tool. They actively listen to feedback.

Flexibility of integration, particularly with dbt models and relevant datawarehouse adaptors; free CLI version that is good enough to start with and custom setup; Data Health score - recent release, measurement of data validity across 6 dimensions; column-lineage