Tengu DataOps platform vs. Atlan

TENGU originated in 2016 as a solution to automate non-value generating tasks and more quickly set up data architectures, so there would be more time to dedicate to gaining actionable insights. In 2020 TENGU became a fully functional DataOps platform with many more functions and capabilities. TENGU is a DataOps platform for data-driven companies, that enables them to improve the efficiency of data scientists, analysts and other profiles inside the company. It enables them to focus on business intelligence instead of data operations.

Atlan is the context layer for enterprise AI. It continuously reads your warehouses, databases, pipelines, BI tools, and business systems to reverse construct an enterprise data graph that captures assets, lineage, entities, metrics, policies, and relationships. On top of that graph, it enriches and curates machine-readable semantics — descriptions, popular joins, KPI and metric definitions, ontologies, and business rules — and organizes them into governed, versioned context repos: bounded bundles of context that reflect how your company defines key concepts and makes decisions.