Who is Select Star?
Select Star is a data discovery and data catalog platform for cloud data warehouses and analytics environments used by enterprise data teams.
- Automated data discovery and cataloging across cloud data warehouses and business intelligence tools (data management).
- Column- and table-level lineage to trace data flows from source systems through BI dashboards (data lineage).
- Usage analytics on queries, dashboards, and data assets to identify ownership, popularity, and dependencies (analytics observability).
- Semantic documentation and business metadata for datasets, including tags, descriptions, and ownership assignments (data governance).
- Collaboration features for data producers and consumers, including search, browsing, and context around metrics and dashboards (data collaboration).
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More About Select Star
Select Star operates in the data management and analytics tooling category, offering a data discovery and catalog platform used by enterprises that run analytics on cloud data warehouses and business intelligence tools. Its software connects to warehouses such as Snowflake, BigQuery, and other SQL-based systems, as well as BI platforms, to surface a unified view of tables, columns, dashboards, and metrics.
The platform automates metadata ingestion and classification by scanning database schemas, query logs, and BI reports. This automation supports building a data catalog (data management) that includes technical metadata, business-friendly descriptions, tags, and ownership information. The approach is intended to reduce manual documentation tasks for data engineers and analytics teams while providing more context to business users.
Select Star provides data lineage (data lineage) at the table and column level, mapping how data moves from upstream sources through transformations into downstream dashboards and reports. Lineage graphs and dependency views help teams understand the upstream and downstream impact of schema changes, deprecations, or access modifications. This is used in change management workflows, incident response, and compliance audits where traceability of data flows is required.
Another core function is usage analytics (analytics observability) derived from query logs and BI usage data. The platform tracks which datasets and dashboards are most queried, who uses them, and which fields are joined or filtered together. This usage context is used to infer which tables are authoritative, to identify unused or duplicated assets, and to guide cleanup or consolidation efforts in data warehouses and BI workspaces.
From a governance perspective (data governance), Select Star organizes datasets and metrics with business glossaries, tags, and role-based access. Data stewards and owners can define canonical tables and trusted dashboards, and end users can search and filter by business terms, domains, or teams. Integration with identity and access systems supports permission-aware browsing so users see only assets they are allowed to access.
In comparison to general-purpose metadata repositories, Select Star focuses on cloud analytics stacks and SQL-centric workflows rather than broad IT asset inventories. It is positioned for data engineering, analytics engineering, and BI teams that need cataloging, lineage, and usage intelligence tightly coupled with warehouse and BI environments. Within an enterprise IT directory, Select Star aligns with data catalog (data management), data lineage (data lineage), and analytics observability (analytics observability) solution categories.
Our description of Select Star. Updated December 2025.
