SOLIXCloud Database Archiving addresses the challenges of growing enterprise application data by moving older, less frequently accessed information to low-cost cloud object storage. This solution implements Information Lifecycle Management (ILM) to provide data retention plans, ensuring security, compliance, and data governance for all archived data. Users can access archived information through full-text search, reporting, and ad-hoc SQL queries, guaranteeing universal access. Key benefits include enhanced application performance, reduced infrastructure costs, ensured data integrity, secure access, and seamless data retrieval. The platform supports archiving of various data types including structured, semi-structured, and unstructured data, and facilitates the retirement of legacy applications. It offers features like policy-based data retention, eDiscovery and Legal Hold capabilities, print report archiving, and comprehensive text search. SOLIXCloud also provides end-to-end metadata management and robust reporting for structured data, supporting ODBC, JDBC, SQL, and REST API access.

Features & Benefits

• Information Lifecycle Management (ILM): Enables moving, validating, and purging data according to defined policies and rules for optimal data management.
• Data Synchronization & Multiple Database Support: Facilitates seamless data management across various database environments.
• Optimize Storage Costs: Moves less-accessed data to low-cost cloud object storage, significantly reducing infrastructure expenses.
• eDiscovery & Legal Hold: Allows quick identification and retrieval of records for regulatory requests and enables legal holds to ensure data retention for legal proceedings.
• Print Report Archiving: Captures, denormalizes, and securely stores legacy application reports as searchable, indexed records for compliance and retrieval.
• Text Search & Reporting: Provides comprehensive text search, structured reports, and ad-hoc queries for easy self-service access to complex business data.
• Metadata Management: Offers end-to-end metadata management through a centralized framework, automating capture and ensuring consistent data descriptions.