The multi-database problem
Database teams often manage Oracle for core systems, PostgreSQL for applications, MySQL or MariaDB for services, MongoDB for document workloads, Redis for cache/persistence, Cassandra for distributed systems, and SQL Server for enterprise applications. Each engine has different backup and restore expectations.
- Different native tools.
- Different artifact types.
- Different restore steps.
- Different monitoring signals.
Why scripts do not scale forever
Scripts are useful, but they become difficult to operate at scale when teams need dashboard visibility, centralized history, storage destinations, notifications, audit events, and repeatable restore workflows.
- Cron jobs lack shared operational visibility.
- Spreadsheets do not prove recoverability.
- Manual runbooks drift over time.
- A failed restore needs more context than an alert email.
DBAegis operating model
DBAegis creates a single place to register database connections, manage schedules, view backup history, run restores, manage storage, configure notifications, and compare edition-based controls.
- Connections, storage, schedules, backup history, restore jobs.
- Role-based access and MFA in paid editions.
- LDAP/AD and webhooks in Enterprise.
- Support matrix links for coverage clarity.
Frequently asked questions
What is multi-database backup management?
It is the process of managing backup and restore workflows across more than one database engine from a centralized operational model.
Why is multi-database backup management hard?
Different databases use different backup tools, artifact types, log chains, restore steps, permissions, and failure modes.
Does DBAegis require every database server to run an agent?
DBAegis is positioned as a self-hosted control plane; support details depend on database type, mode, edition, and support matrix.
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