Database Archiving
Automates MySQL database archiving to enhance performance, reduce storage costs, and ensure compliance through lifecycle management.
Overview
MySQL Database Archiving is designed to manage data growth effectively, improving application performance and reducing costs. It addresses the challenges posed by inactive data that accumulates over time, impacting system efficiency and compliance.
This solution archives less frequently accessed data to a separate database, subsequently purging it from the production database. This process reduces the database size, enhancing application performance and availability while lowering storage and maintenance expenses.
Key Capabilities
- Centralized data storage and advanced search capabilities.
- Compliance and retention policies to meet regulatory requirements.
- eDiscovery and legal hold functionalities for quick data retrieval.
- Cloud data management for archiving all data types and retiring legacy applications.
Solix's platform supports a wide range of applications, including ERP, CRM, mainframes, and IoT, ensuring comprehensive data governance and administration. It offers policy-based data retention to achieve compliance with various standards such as GDPR, HIPAA, and CCPA.
Information Lifecycle Management (ILM)
ILM optimizes infrastructure by classifying data at creation and moving it across tiers based on business rules. This ensures only active data uses valuable resources, while all data remains compliant throughout its lifecycle.
Metadata Management
Solix provides an end-to-end framework for exploring enterprise metadata, ensuring consistent data descriptions and business context.
With comprehensive reporting and robust analytics, organizations can make informed decisions and maintain business continuity. The platform supports ODBC, JDBC, SQL access, and offers a comprehensive REST API for seamless integration.
SOLIXCloud offers scalable, secure, and compliant archiving solutions, with a pay-as-you-go model and 24/7 expert support, ensuring flexible and user-friendly data management.

