Databasus
Open‑source scheduled backups for PostgreSQL, MySQL and MongoDB
Alternatives
Choose Database Lab Engine if…
- you need on‑demand Postgres clones for feature branches
- you want to reduce storage spend on test databases
- you require integration of database provisioning into CI
- you need faster turnaround from code commit to
Choose restic if…
- you need deduplication to minimise storage costs
- you need end‑to‑end encryption for compliance
- you need to back up to SFTP or other non‑cloud backends
- you already have a cron or CI pipeline for scheduling
- you want detailed logs for audit trails
Choose Airbyte if…
- you need to sync data from multiple SaaS sources into a
- you want incremental replication to minimise load on
- you prefer a web UI that shows live sync logs and health
- you plan to self‑host on Docker but also keep a managed
Choose Duplicati if…
- you need to back up to FTP, SSH or WebDAV endpoints
- you must encrypt and compress data for regulatory compliance
- you run backup jobs on Windows, macOS or Linux workstations
- you want a single client for files, not just database dumps
Choose Borg if…
- you need storage‑saving deduplication
- you require AES‑256‑CBC encrypted backups
- you want incremental backups for large data sets
- you rely on many storage backends beyond cloud buckets
- you run backups directly on Linux without Docker
How to Decide
Databasus is an open‑source, Docker‑based tool that lets DevOps teams and SMBs schedule recurring backups for PostgreSQL, MySQL and MongoDB via cron‑style jobs. The alternatives split into a few clear camps: Database Lab Engine leans into Postgres‑only branching and cost‑optimizing development workflows as a cloud SaaS; Borg emphasizes aggressive deduplication, AES‑256‑CBC encryption and a wide range of self‑hosted storage backends including SSH and SFTP; restic is chosen for its fast, Go‑based incremental backups with built‑in encryption, de‑duplication and multi‑protocol support via an API; Duplicati stands out with a graphical schedule/retention UI and out‑of‑the‑box integration with many commercial cloud services such as OneDrive, S3 and Google Drive.
When comparing backups to Databasus, focus on (1) scheduling and automation – Databasus offers cron‑style jobs while Borg and restic lack native schedulers and Duplicati provides a UI scheduler; (2) deduplication/compression efficiency – Borg and restic both de‑duplicate and compress data, whereas Databasus and Duplicati rely on external storage compression; (3) storage backend flexibility – Databasus supports major clouds plus local disks, Borg adds SSH/SFTP, restic offers many backends via API, and Duplicati covers a broad commercial cloud list; (4) encryption implementation – all are AES‑256 but Borg uses CBC mode, restic encrypts both transit and rest, Duplicati encrypts at rest, and Databasus encrypts archives before upload; (5) deployment model – Databasus and Borg/restic are self‑hosted containers or binaries, while Database Lab Engine is a SaaS offering, which may affect operational overhead.
All Alternatives
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