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Archon Data Store™

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(3)4.8/5

Archon Data Store™ (ADS) is an enterprise data archiving platform that helps organizations securely manage, store, and access historical information from legacy applications and diverse data sources. It supports both structured data archiving and unstructured data archiving, making it suitable for databases, ERP systems, mainframes, file repositories, and collaboration tools. ADS is designed for enterprises that need to reduce the cost of legacy systems, simplify application decommissioning and application retirement, and ensure compliance with regulations while keeping data accessible for audits, reporting, and analytics. ADS combines modern lakehouse architecture with open-source technology, giving organizations a flexible and scalable environment for intelligent data archiving. It helps IT leaders in industries such as healthcare, banking, insurance, and manufacturing maintain compliance, support digital transformation, and unlock value from archived information. In addition to archiving, the platform enables AI data archiving and analytics, allowing historical records to remain useful for decision-making and innovation. Key features and benefits include: Application decommissioning and retirement: Retire legacy systems without losing access to historical data, reducing infrastructure and licensing costs. Structured and unstructured data archiving: Consolidate records from databases, ERP, HR, file shares, and more into a single secure repository. Intelligent data archiving: Optimize storage with tiering (hot, warm, cold), retention management, and metadata-driven governance. AI data archiving and analytics: Enable ongoing use of archived information for reporting, compliance, business intelligence, and machine learning. Security and compliance: Protect sensitive data with encryption, role-based access, and support for regulations such as GDPR, HIPAA, and SOX. By centralizing enterprise data archiving in one platform, Archon Data Store™ helps organizations lower costs, stay compliant, and make archived data readily available for future needs.

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