G2 Vendor Directory

Google Cloud Knowledge Catalog vs. Atlan

A side-by-side comparison based on G2 review data.

MetricGoogle Cloud Knowledge Catalog

by Google

Atlan

by Atlan

Overall rating4.34.5
Review count17135
Ease of use8.79.1
Ease of setup10.09.3
Quality of support8.59.3
Meets requirements9.08.8
NPS58.82352967.407407
Small Business41.2%7.4%
Mid-Market17.6%50.4%
Enterprise41.2%42.2%
Total page views691,350
Total LLM citations15212,571

Google Cloud Knowledge Catalog

Knowledge Catalog is a dynamic, always-on, universal context engine for agents. It unifies structured, unstructured, and SaaS data into a governed, agent-ready truth. Knowledge Catalog aggregates native context across your Google and partner data platforms, semantic models, and third-party catalogs, unifying them into a single, governed source of truth. Automatically harvest technical metadata across your foundational systems—including BigQuery, AlloyDB, Spanner, Cloud SQL, Firestore (Preview), and Looker (Preview).

Pros

    Atlan

    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.

    Pros

    • Ease of Use
    • Features
    • User Interface
    • Easy Setup
    • Data Cataloging
    • Integrations