Data quality issues in pipelines lead to unreliable analytics, flawed decision-making, and wasted resources. Traditional data quality monitoring often relies on reactive detection, failing to prevent bad data from reaching downstream systems. This results in costly rework, delayed insights, and a lack of trust in data-driven processes.

Upriver provides a proactive data contract platform that ensures data quality by automatically monitoring field behavior, metadata, and schema compliance throughout the data pipeline. The platform uses a knowledge graph to interpret data expectations and automatically generate data contracts. Before data updates occur, Upriver checks for contract violations, blocking updates or alerting stakeholders to prevent bad data from propagating downstream. This approach enables organizations to maintain reliable and consistent data, fostering trust and enabling informed decision-making.

Automated data contract generation using a knowledge graph to interpret expectations

Pre-update checks for contract violations, blocking updates or alerting stakeholders

Real-time monitoring of field behavior, metadata, and schema compliance

Integration with existing data pipelines to enforce data quality at the source

Customizable alerts and notifications for contract violations

Upriver targets data engineers, data architects, and data leaders who are responsible for maintaining data quality and ensuring reliable data pipelines.