If you want a system for visualizing data relationships and lineage from source to dashboard, Atlan is a good option. It has active metadata, data discovery, active data governance, and column-level lineage that helps teams understand how data is related. It has connectors to Snowflake, Redshift, Big Query and Tableau, among other data sources, so it can span different data ecosystems. It also has features like Data Asset 360, Glossary, and embedded collaboration that can help teams work more efficiently and govern data better.
Another powerful option is Secoda, an all-in-one data management platform that combines data catalog, lineage, governance and monitoring into one cockpit. Secoda has an AI-powered search, automated workflows and a data requests portal. It also has a lineage model at the column and table level so teams can easily understand how data is related. With its connectors to Snowflake, BigQuery and Tableau, Secoda can help teams work more efficiently, govern better and be more productive.
If you're looking for a data observability solution, check out Metaplane. The company offers automated end-to-end data observability with features like ML-based monitoring, column-level lineage and real-time schema change alerts. Metaplane helps teams quickly identify and troubleshoot data issues, which can increase data trust and collaboration. It integrates with many tools in the modern data stack, so data observability is available to teams of any size.
Last, Qlik offers a full suite of data integration, analytics and AI. It has a rich data fabric, end-to-end data integration and powerful analytics. Qlik's wide range of integrations and connectors gives access to hundreds of data sources, so it's a good option for visualizing data relationships and lineage.