Database Archiving
A solution for archiving Microsoft SQL Server databases to reduce storage costs, improve performance, and ensure compliance.
Overview
Database Archiving for Microsoft SQL Server is designed to manage data growth, reduce storage costs, and enhance application performance and compliance through automated lifecycle management. As data accumulates, it can slow down application performance and increase costs, while also raising compliance issues. This solution archives less frequently accessed data to a separate database, purging it from the production environment to improve performance and reduce costs.
Key capabilities include centralized data storage, advanced search, compliance management, and secure access. The system supports a wide range of data types and applications, including ERP, CRM, mainframes, and IoT, ensuring comprehensive data governance and administration.
Enterprise Archiving Features
- Centralized data storage and governance
- Advanced search and eDiscovery capabilities
- Policy-based data retention to meet compliance objectives
- Support for structured, semi-structured, and unstructured data
Solix's Information Lifecycle Management (ILM) optimizes infrastructure by classifying data at creation and moving it across tiers based on business rules and retention policies. This ensures that only active data uses primary resources, while all data remains compliant throughout its lifecycle.
Metadata Management
End-to-end metadata management provides a centralized repository for exploring enterprise metadata and lineage, ensuring consistent data descriptions and business context.
Comprehensive Reporting
Solix offers extensive reporting for structured data, enabling advanced search, custom reports, and seamless access to archived information. This supports robust analytics and self-service reporting, driving informed decision-making.
The solution is fully managed, scalable, and compliant, with a pay-as-you-go subscription model. It provides secure, end-user-friendly access to data, ensuring flexibility and comprehensive data governance.
