Data discovery and observability.
Tier 1
Adoption
Tier 3
Recognition
Tier 2
Security
Tier 1
Reliability
Atlas is a data discovery and observability platform designed for organizations managing complex data environments. It provides capabilities for tracking data lineage and implementing governance policies across data systems, enabling teams to understand data flow and maintain compliance standards.
Data Lineage Atlas tracks the flow of data across systems, showing how data moves from source to destination. This visibility helps teams understand data dependencies and trace data transformations throughout their infrastructure.
Governance The platform includes governance capabilities that enable organizations to establish and enforce data policies, manage access controls, and maintain compliance with regulatory requirements.
Data Discovery Atlas facilitates the discovery of data assets across the organization, helping teams locate and understand available data resources.
Observability The platform provides observability into data systems, allowing teams to monitor data quality and system health.
Data Lineage Tracking: Organizations needing to understand how data flows through their systems and identify dependencies between data sources and consumers.
Compliance & Governance: Teams implementing data governance frameworks and needing to demonstrate compliance with regulatory requirements.
Data Discovery: Enterprise environments where teams need to locate and understand available data assets across multiple systems.
Impact Analysis: Assessing the downstream impact of changes to data sources or transformations.
Data Quality Monitoring: Observing data systems to identify issues and maintain data reliability.
Atlas is available under a , with a free tier for basic usage and an available through custom quote. Organizations can evaluate the platform at no cost before committing to an enterprise deployment.
Atlas is designed for:
Data Engineering Teams: Organizations building and maintaining data pipelines who need visibility into data flow and dependencies.
Data Governance Officers: Teams responsible for implementing data policies, compliance, and access management.
Enterprise Organizations: Large companies managing complex data environments across multiple systems and departments.
Regulated Industries: Organizations in finance, healthcare, and other regulated sectors requiring robust data governance and compliance capabilities.
Data-Driven Organizations: Companies prioritizing data quality, discovery, and observability as core operational capabilities.
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Key Features