Kimi | Databasus vs Portabase

https://github.com/databasus/databasus https://github.com/Portabase/portabase compare

Compare Databasus and Portabase GitHub Repositories

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Search for More Info on Both Projects for Better Comparison

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Databasus database backup tool PostgreSQL Portabase database backup restore tool

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Comparing Databasus and Portabase: Architecture, Maturity, and Feature Focus

Now I have good information on both tools. Let me summarize what I found:

Databasus:

Language: Go + TypeScript
License: Apache 2.0
Interface: Web UI
Supported Databases: PostgreSQL (12-18), MySQL (5.7, 8, 9), MariaDB (10, 11), MongoDB (4-8)
Backup Engine: Built on top of pg_dump (for PostgreSQL)
Storage: S3, Google Drive, Cloudflare R2, Azure Blob, NAS, Dropbox, SFTP, Rclone, local
Notifications: Email, Telegram, Slack, Discord, MS Teams, Webhooks
Security: AES-256-GCM encryption for backups, encrypted secrets, read-only database access
Team Features: Workspaces, RBAC (viewer, member, admin, owner), audit logs
Scheduling: Hourly, daily, weekly, monthly, cron
Deployment: Docker, Kubernetes/Helm, automated install script
Focus: Self-hosted, web-based backup management with team collaboration

Portabase:

Language: TypeScript (main), Python (CLI), Rust (Agent)
License: Apache 2.0
Interface: Web UI + CLI
Supported Databases: PostgreSQL, MySQL/MariaDB, MongoDB, SQLite (Redis coming soon)
Architecture: Server + Agent model (agent written in Rust)
Storage: Not fully detailed yet, but likely similar cloud options
Features: Backup and restore focused
Deployment: Docker Compose, Kubernetes with Helm (soon), automated CLI
Team Features: Not detailed in search results
Status: Seems to be newer, still developing (agent in Rust, CLI in Python)

Key differences to highlight:

Databasus is more mature/established, Portabase seems newer
Databasus has a unified codebase (Go+TS), Portabase has split architecture (TS server, Rust agent, Python CLI)
Databasus focuses heavily on team features and UI polish, Portabase emphasizes the agent model
Both support similar databases but Portabase also mentions SQLite and upcoming Redis
Databasus explicitly builds on pg_dump, Portabase architecture is less clear but has dedicated agents

Let me provide a comprehensive comparison.

这是两个开源数据库备份工具，它们有很多相似之处，但架构和设计哲学有所不同：

核心对比

表格

特性	Databasus	Portabase
定位	专注 PostgreSQL 的多数据库备份平台	多引擎数据库备份与恢复工具
技术栈	Go + TypeScript	TypeScript (主服务) + Rust (Agent) + Python (CLI)
架构	单体应用，内置调度	Server-Agent 分离架构
界面	Web UI + API	Web UI + CLI + Agent
许可	Apache 2.0	Apache 2.0

数据库支持

表格

数据库	Databasus	Portabase
PostgreSQL	✅ 12-18	✅
MySQL/MariaDB	✅ 5.7/8/9 & 10/11	✅
MongoDB	✅ 4-8	✅
SQLite	❌	✅
Redis	❌	🚧 即将支持

功能特性

Databasus

备份引擎：基于 pg_dump 构建，继承其可靠性，添加企业级功能
存储选项：S3、Cloudflare R2、Google Drive、Azure Blob、NAS、Dropbox、SFTP、Rclone、本地
加密：AES-256-GCM 自动加密，每个备份使用唯一密钥
团队功能：工作空间隔离、RBAC 角色控制（Viewer/Member/Admin/Owner）、审计日志
通知：Slack、Discord、Telegram、邮件、Teams、Webhook
调度：可视化调度（小时/天/周/月/Cron），支持精确时间设置
压缩：zstd 自动压缩（4-8x 空间节省）

Portabase

架构特点：采用 Server-Agent 模式，Agent 用 Rust 编写，适合分布式部署
多接口：除了 Web UI，还提供 Python CLI 和 Rust Agent
部署方式：Docker Compose、自动化 CLI 安装、Kubernetes/Helm（即将推出）
状态：相对较新项目（2026 年初活跃开发），功能迭代中

主要区别

1. 架构哲学

Databasus：单体应用，"开箱即用"，适合中小团队快速部署
Portabase：分布式架构，Server 协调多个 Rust Agent，适合大规模、跨网络环境

2. 成熟度

Databasus：更成熟，前身为 Postgresus，有完整的文档和社区（Telegram 群组）
Portabase：较新项目，仍在快速迭代（SQLite 刚支持，Redis 待发布）

3. 团队功能

Databasus：内置完整的工作空间和权限管理，强调团队协作
Portabase：目前公开信息中未强调团队功能，更偏向工具属性

4. 恢复能力

Databasus：支持从存储直接解密恢复（不依赖 Databasus 本身），避免供应商锁定
Portabase：强调"备份与恢复"双向流程，但具体恢复机制细节较少

选择建议

选 Databasus 如果：

需要成熟的、经过生产验证的解决方案
团队需要完善的权限管理和审计功能
希望基于 pg_dump 的可靠逻辑备份
需要丰富的云存储集成和通知渠道

选 Portabase 如果：

需要备份 SQLite 或即将需要 Redis 支持
偏好 Server-Agent 架构，需跨网络管理多个数据库节点
喜欢 Rust/Python 技术栈或需要 CLI 工具
项目刚启动，愿意跟随新版本迭代

两者都是 Apache 2.0 许可的自托管方案，数据控制权都在用户手中。Databasus 更适合需要"企业级管理界面"的场景，Portabase 更适合需要"分布式 Agent 架构"的技术团队。