> ## Documentation Index > Fetch the complete documentation index at: https://docs.dbhost.app/llms.txt > Use this file to discover all available pages before exploring further. # Self-Hosted Postgres vs DBHost for Small SaaS Teams > Compare self-hosted PostgreSQL and DBHost on the criteria small SaaS teams care about: pooling, backups, automation, and time. Small SaaS teams usually do not choose PostgreSQL in the abstract. They choose between spending time on product work or spending time on database operations. That tradeoff is what this guide is about. **Best fit:** Small SaaS teams deciding whether database operations should stay on the product roadmap or move into managed infrastructure now. **Not for:** Teams that already need host-level control, custom networking, or a dedicated DBA workflow. ## The short version Choose self-hosted PostgreSQL if you already want to own the server, the patching cycle, the backup routine, the connection pool, and the restore drills. Choose DBHost if you want PostgreSQL to feel like a product surface instead of an infrastructure project. ## What DBHost ships DBHost gives you the pieces most small teams end up building themselves later: * A PostgreSQL database you can create from the dashboard * A pooled connection through PgBouncer on every database * Daily automated backups and on-demand backup triggers * A REST API for database operations * A published CLI for terminal and CI workflows * Scoped API keys for least-privilege automation * A dashboard for credentials and database management ## Comparison | Need | Self-hosted PostgreSQL | DBHost | | ------------------------- | ------------------------------------------------------ | ------------------------------------------------- | | Provision a new database | You set up the server and create the database yourself | Create it in the dashboard, CLI, or API | | Handle pooling | You configure PgBouncer or another pooler | Every database gets PgBouncer support | | Handle backups | You design and test the backup job | Daily automated backups are part of the platform | | Trigger backups on demand | You script it | Use the published API or CLI | | Manage credentials | You build the process | Use scoped API keys and dashboard password resets | | Automate repeatable ops | You build the tooling | Use the CLI or REST API directly | | Support future app growth | You keep extending your own ops stack | You keep the same control plane as usage grows | ## When self-hosted still makes sense * You need full control of the host, network, and OS * You already have a strong DBA or platform team * Your compliance or networking model needs a custom setup * You are comfortable owning backup testing and restore procedures yourself Those are valid reasons. Self-hosting is not wrong. It just moves the operational burden onto your team. ## When DBHost is a better fit * You want to launch without standing up database infrastructure first * You want pooling and backups without designing them from scratch * You want programmatic database operations but do not want to maintain a custom admin surface * You want a small team to stay focused on shipping the app, not the database platform For many SaaS teams, that is the real requirement: not more control, but less overhead. ## A practical decision rule If database operations are already part of your team’s job, self-hosting can be fine. If database operations are becoming accidental work, DBHost is usually the cleaner path. ## Where DBHost helps in practice DBHost is especially useful when you want: * A database for a Next.js app, service, or internal tool * A pooled PostgreSQL endpoint without managing PgBouncer yourself * A CLI and REST API for repeatable operations * A dashboard for day-to-day database management * Scoped API keys for scripts, CI, and limited integrations ## Next step Compare Free, Pro, and Business based on the workflow you need today. Create one non-critical database and compare the day-one workload yourself. If you want to judge the fit quickly, create one non-critical database and compare the day-one workload against your current setup. Start with the [quickstart](/quickstart), then check the [CLI](/cli) and [API reference](/api-reference/introduction) if you want to automate the same workflows.