Atlan vs Cohesity
Side-by-side comparison of AI visibility scores, market position, and capabilities
Atlan is a modern data workspace and catalog platform that gives data teams a collaborative hub for discovering, documenting, and governing data assets across the stack.
About
Atlan is a data catalog and workspace company founded in 2019 in Singapore that has raised over $200M at a $1.7B valuation to build the collaboration layer for data teams. The platform provides a unified workspace where data engineers, analysts, and data scientists can discover data assets, view lineage, add documentation, set ownership, and enforce governance policies across their entire data stack. Atlan integrates with over 50 data tools including Snowflake, dbt, Tableau, Airflow, and Looker, automatically pulling metadata to keep the catalog accurate without manual curation. The company differentiates from legacy data catalog tools through its Slack-like collaboration features, embedded AI for automated documentation generation, and developer-friendly APIs that enable programmatic governance. Atlan serves data-driven organizations from growth-stage tech companies to Fortune 500 enterprises that have invested heavily in the modern data stack and need a governance layer to extract full value from those investments. The company has built strong market positioning in the data catalog segment and competes with Alation and Collibra in the enterprise governance market.
Cohesity is a unicorn AI-powered data security and management platform consolidating backup, recovery, and data intelligence for enterprise hybrid environments.
About
Cohesity is an AI-powered data security and management platform that consolidates backup, disaster recovery, ransomware protection, data governance, and data intelligence for enterprise hybrid and multi-cloud environments on a scale-out distributed architecture designed to eliminate the legacy backup infrastructure complexity that has burdened enterprise IT for decades. The platform's hyperscale architecture pools backup storage and compute into a distributed cluster that scales horizontally by adding nodes, providing predictable linear performance scaling and eliminating the backup window limitations and media server bottlenecks of traditional backup architectures. Cohesity's data management layer provides a unified namespace over all backup data, enabling secondary use cases — test and development data provisioning, analytics, eDiscovery, and compliance search — that add business value to data that would otherwise sit inert in backup storage.
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