Question: Is there a solution that integrates with my existing data stack to monitor and analyze data usage and performance?

If you're looking for something that fits into your existing data stack to monitor and analyze usage and performance, Metaplane is a great option. It provides automated end-to-end data observability with features like ML-based monitoring, anomaly detection, real-time schema change alerts, job monitoring, and usage analytics. By connecting to many tools in your modern data stack, Metaplane can dramatically cut down the time spent triaging data quality issues and improve communication across your team.

Another powerful option is Secoda, an end-to-end data management platform that combines data catalog, lineage, governance and monitoring. It includes AI-powered search, automated workflows and a data requests portal, so you can easily manage and monitor your data across different sources. Secoda integrates with popular tools like Snowflake, BigQuery and Redshift, and has strong security controls to ensure data compliance and integrity.

For real-time data integration and monitoring, Estuary provides a full platform for CDC, ETL and streaming pipelines. With features like 100+ no-code connectors, stream-store-replay, and materialization, Estuary ensures reliable and low-latency data pipelines. Its flexible materializations and automated schema evolution make it well-suited for agile DataOps environments.

Also worth considering is Airbyte, an open-source data integration platform that supports more than 300 structured and unstructured data sources. With features like a Connector Builder, Automated Schema Evolution, and strong security controls, Airbyte is great for companies with a wide range of data integration needs. It offers flexible deployment options and a simple UI to manage pipelines.