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DIY SetupAtlan

Atlan is a SaaS active metadata platform enabling unified data discovery, governance, lineage, and collaboration.

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Product details

Overview

Atlan is a modern SaaS active metadata and data collaboration platform that unifies metadata from across a company’s data ecosystem into a single contextual workspace. It enables agile discovery, governance, lineage, and collaboration across analysts, engineers, and business users. Atlan’s DIY setup allows teams to connect sources, manage workflows, and monitor metadata pipelines without code. Users can see context-rich metadata, schedule crawls, receive alerts, and streamline DataOps processes for faster insight delivery and trust in data across the enterprise.

Features and Capabilities

  • **Core Capabilities: **Atlan provides data discovery, metadata cataloging, automated lineage, governance workflows, collaboration, and context enrichment across data tools.
  • **Integration & Connectivity: **Supports connections to data warehouses, BI tools, ETL systems, and other metadata sources with no-code connectors and an open API.
  • **DIY Setup: **Users authenticate connections, specify what metadata to scan, and schedule crawls (daily, weekly, monthly) using a visual interface with logs and alerts.
  • **Collaborative Metadata Management: **Teams can collaboratively document, find, and trust data assets regardless of their role; includes personalized search and context-aware discovery.
  • **Automated Lineage and Alerts: **Column-level lineage and automated Slack alerts help teams understand data flow and respond to failures quickly.
  • **Data Governance: **Atlan supports governance controls, sensitivity tagging, granular access policies, and workflows to ensure secure, compliant data practices.
  • **Metadata Intelligence: **Intelligent automation and recommended metadata enrichments reduce manual documentation effort and improve accuracy.
  • **Monitoring & Workflow Management: **Visual workflow center shows connections, logs, success/failure, and scheduling for operational oversight.