DBDock vs Medusa

DBDock is a database toolkit for backups, restores, copies and cross-database migrations. Its free, MIT-licensed CLI supports backups and restores for PostgreSQL, MySQL/MariaDB, SQL Server and Redis. It also supports migration between MongoDB and PostgreSQL in either direction, with schema mapping, dry runs and incremental sync. Backup storage can be local disk, AWS S3, Cloudflare R2, Cloudinary or managed DBDock Storage. The CLI supports cron-based automation and email or Slack notifications. DBDock Cloud adds a managed dashboard with scheduled jobs, managed storage, teams and alerts. Listed safeguards include AES-256-GCM encryption with PBKDF2 key derivation, credential masking and `.pgpass` support. Cloud Sync sends non-secret metadata while database passwords, storage keys, encryption secrets and webhook URLs stay on the user's machine. A TypeScript SDK provides programmatic access from Node.js applications. The CLI requires Node.js 18 or newer, and PostgreSQL backups also require PostgreSQL client tools. DBDock is listed for Linux, macOS, Windows, web, API and self-hosted use.

Medusa is a command-line backup system for Apache Cassandra that runs on Linux in a self-hosted deployment. It supports full and differential backups, single-node backup and restore, and cluster-wide restores in place or to a remote location. Backup destinations include local storage, Google Cloud Storage, Azure Blob Storage, AWS S3, and compatible S3 services. It supports clusters using either single tokens or vnodes. Its verify command checks backup completion, manifest and file presence, and file hashes; MD5 checks can be enabled, while file size is checked by default. Configuration documentation covers client SSL settings and S3 server-side encryption with KMS or customer-provided keys. Retention settings can purge backups by age or count. Installation instructions cover pip and Debian packages, including offline installation, and describe installing Medusa on each Cassandra node. It requires Python 3.9 or newer and is licensed under Apache-2.0. A stated constraint is that it does not support Cassandra deployments with multiple data-folder directories.