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Fast distributed SQL query engine for big data analytics.
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Apache Atlas
4.2
Open Source Users praise its comprehensive lineage and deep integration with the Hadoop ecosystem, though some note a steep learning curve for initial setup and configuration.
Enterprise-grade data governance and metadata management for hybrid-cloud ecosystems.
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Refined 2/22/2026
About Apache Atlas
Apache Atlas is a scalable and extensible set of core foundational governance services – enabling enterprises to effectively and efficiently meet their compliance requirements within Hadoop and the broader modern data stack. As of 2026, Atlas remains the industry standard for open-source metadata management, leveraging a graph-based metadata store powered by Apache JanusGraph and Apache Solr for high-performance indexing. Its architecture is designed to provide a common metadata framework that allows for the exchange of metadata between different tools and platforms. By utilizing a robust 'Hooks' system, it captures lineage from processing engines like Spark, Hive, and Sqoop in real-time. In a 2026 market context, Atlas serves as the critical 'Source of Truth' for AI-ready data, ensuring that large language models (LLMs) and automated pipelines ingest only verified, governed, and tagged data assets. It facilitates deep cross-platform data discovery and lineage, supporting complex regulatory environments like GDPR, CCPA, and the EU AI Act by providing clear visibility into data provenance and transformation history.
Core Capabilities
Apache Atlas is a scalable and extensible set of core foundational governance services – enabling enterprises to effectively and efficiently meet their compliance requirements within Hadoop and the broader modern data stack.
