Question: How can I ensure data quality and trust in my data pipelines and analytics?

To ensure data quality and trust in your data pipelines and analytics, you might also want to check out Metaplane, a data observability platform that provides automated end-to-end data observability. Metaplane offers ML-based monitoring, anomaly detection, data CI/CD, column-level lineage, and real-time schema change alerts. It integrates with many tools in the modern data stack, making data observability a breeze for teams and significantly reducing the time spent triaging data quality issues.

Another strong contender is Collibra, a data intelligence platform that offers a variety of data management tools. Collibra includes data quality monitoring, pipeline reliability tracking, data discovery, and integrated data management. It's designed to increase productivity by automating data processes and minimizing manual work, with features like AI Governance, Data Catalog, and Data Governance.

If you're looking for a more complete data management platform, Secoda combines data catalog, lineage, governance, and monitoring into one tool. It includes AI-powered search, automated workflows, and a data requests portal. Secoda can integrate with tools like Snowflake, BigQuery, and Tableau, and offers security features like SOC 2 compliance and data encryption.

Also worth a look is Avo, which offers tools for event data quality and helps data and product teams build better user experiences. Avo offers customizable alerts, collaborative schema management, and fast implementation features. It integrates with analytics tools like Amplitude and Google Analytics, and offers several pricing tiers, including a free plan for startups.