Data Observability

Observe unites all machine data into a single, explorable dataset, making it easier for engineering and DevOps teams to troubleshoot and debug applications and infrastructure.

Databand provides a proactive data observability platform that ensures data health and pipeline reliability, now part of IBM.

Anomalo uses AI to autonomously detect and explain data issues in warehouses and lakes, ensuring data quality and reliability.

Datafold helps data teams prevent data quality issues by automatically detecting data changes and performing data diffs during development.

Databand offers a proactive data observability platform that identifies and resolves data quality issues throughout the data ops lifecycle.

Validio is a data quality and observability platform that helps data teams deliver reliable data products by monitoring and validating data in real-time.

Sifflet offers a unified data observability platform for data quality, lineage, and discovery across the data stack.

Dataherald is building a data reliability platform that helps data teams deliver trustworthy data.

Dataherald provides a platform to automatically monitor the quality and reliability of data across the data stack, ensuring data integrity.