Backdoor
Self-hostable database editing tool for teams
What it does
Backdoor is a self-hostable database editing tool for your team. It's an alternative to building a costly admin dashboard. Backdoor can be deployed in minutes instantly enables you to query and edit Postgres database tables. It's easy-to-use, safe, and secure.
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Open Source PostgreSQL Studio2021 · ▲407Powerful PostgreSQL tool is now open source for self-hosting
- PSPgDog – Scale Postgres without changing the appFeb 2026 · github.com · ▲326
Hey HN! Lev and Justin here, authors of PgDog (https://pgdog.dev/), a connection pooler, load balancer and database sharder for PostgreSQL. If you build apps with a lot of traffic, you know the first thing to break is the database. We are solving this with a network proxy that works without requiring application code changes or database migrations. Our post from last year: https://news.ycombinator.com/item?id=44099187 The most important update: we are in production. Sharding is used a lot, with direct-to-shard queries (one shard per query) working pretty much…
- PSPgDog – Shard Postgres without extensions2025 · github.com · ▲307
Hey HN! Lev here, author of PgDog (https://github.com/pgdogdev/pgdog). I’m scaling our favorite database, PostgreSQL. PgDog is a new open source proxy, written in Rust, with first-class support for sharding — without changes to your app or needing database extensions. Here’s a walkthrough of how it works: https://www.youtube.com/watch?v=y6sebczWZ-c Running Postgres at scale is hard. Eventually, one primary isn’t enough at which point you need to split it up. Since there is currently no good tooling out there to do this, teams end up breaking their apps…
- SDSafe Data Changes in PostgreSQL2023 · github.com · ▲47
Hi HN, we're excited to share our open source tool with the community! We previously posted here with the tagline “real-time events for Postgres” [0]. But after feedback from early users and the community, we’ve shifted our focus to working on tooling for manual database changes. We've consistently heard teams describe challenges with the way manual data updates are handled. Seemingly every engineer we spoke with had examples of errant queries that ended up causing significant harm in production environments (data loss/service interruptions). We’ve seen a few different approaches to how…
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