Question: Can you recommend a platform that helps data teams detect and resolve data quality issues quickly?

If you need a platform to quickly identify and troubleshoot data quality issues, Metaplane is a top contender. It automates end-to-end data observability with ML-based monitoring and anomaly detection. Column-level lineage and impact analysis, real-time schema change notifications and usage analytics enable data teams to quickly identify and troubleshoot issues. Metaplane supports many modern data stack tools, so it's easy to set up and maintain.

Another strong contender is Collibra, which offers a range of data management tools including AI Governance, Data Catalog, Data Governance and Data Quality & Observability. It has good data quality monitoring and pipeline reliability monitoring, which can help cut manual labor and boost productivity. Collibra's architecture is designed to scale and be flexible, so it can accommodate a variety of use cases, and it offers a 20-day free trial for its Data Quality & Observability tool.

Secoda is another option worth considering. It combines data catalog, lineage, governance and monitoring into a single product, with AI-powered search and automated workflows. Secoda integrates with tools like Snowflake, BigQuery and Tableau, and it has security controls, too, so it's a good option for data management and governance.

Last is Avo, which offers data observability and monitoring tools with customizable alerts and real-time feedback. Its features, including Avo Inspector to find and fix data quality problems and collaborative schema management, can speed up data quality work and provide better insights. Avo integrates with analytics tools like Amplitude and Google Analytics, and it has a variety of pricing options including a free plan.