VeilDB
Database anonymization and secure sharing across developers
What it does
VeilDB is an open-source platform that helps teams safely share database dumps. Define masking rules in a web UI, process dumps via an agent, and let developers securely download anonymized data. Protect sensitive information without breaking development workflows.
Does the same job
all alternatives →- VPVeilStream – prod-like data without the PII2025 · app.veilstream.com · ▲22
# TL;DR We built VeilStream, a drop-in, read-only PostgreSQL proxy that strips, masks, or anonymizes sensitive values as queries stream through. In less than two minutes, you can put a proxy in front of a PostgreSQL database, whether hosted on your laptop, Neon, Supabase, or a cloud provider, and the user is able to start configuring filter rules. The use cases we're trying to solve are: - Production-like data in development environments - Improve incident handling by masking all data that is not relevant - Share a subset of your data - Protecting data being shipped into a data lake - Safe…
- NONocoDB – Open-Source Airtable Alternative2021 · github.com · ▲562
- SOSlashbase – open-source collaborative IDE for databases in browser2022 · github.com · ▲89
Hello HN! My name is Paras and I am building this project called Slashbase. It's an open-source collaborative IDE for databases in browser. Connect to your database, browse data, run a bunch of queries or share queries within your team, right from your browser. Works with two types of databases: PostgreSQL and MongoDB. It's written in Golang and Nextjs React Framework and runs as a single binary. Features: - Cloud based: Setup on your server. Works in browser. - Easy to use: with minimal interface it is simple to use. - Collaborative: Works with your teams. Easy sharing queries within team.…
- SOScratchDB – Open-Source Snowflake on ClickHouse2023 · github.com · ▲261
Hello! For the past year I’ve been working on a fully-managed data warehouse built on Clickhouse. I built this because I was frustrated with how much work was required to run an OLAP database in prod: re-writing my app to do batch inserts, managing clusters and needing to look up special CREATE TABLE syntax every time I made a change. I found pricing for other warehouses confusing (what is a “credit” exactly?) and worried about getting capacity-planning wrong. I was previously building accounting software for firms with millions of transactions. I desperately needed to move from Postgres to…
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