Life & fun · November 23, 2019
pg_csdvrx – assisted Postgres data recovery
Postgres Generic Clever Scanning Data Verify/Recovery Xpress - csdvrx/pg_csdvrx
pg_csdvrx – assisted Postgres data recovery launched on November 23, 2019 with 12 votes, #827 of 3,203 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 6 years on.
In plain words
pg_csdvrx is a PostgreSQL data recovery tool designed to help database administrators and developers recover lost or corrupted data from Postgres databases. It provides assisted recovery capabilities to automate and simplify the restoration process. The tool is available as open source on GitHub and is useful for teams managing PostgreSQL systems who need reliable data recovery options.
written from the facts on this page · September 2026
Does a similar job
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Stellar – Git for PostreSQL and MySQL2014 · github.com · ▲325Fast database snapshot and restore tool for development - fastmonkeys/stellar
Postgres as a VectorDB GUI2024 · github.com · ▲162Contribute to Z-Gort/Reservoirs-Lab development by creating an account on GitHub.
Restoredrill – proves your Postgres backups restoreAug 2026 · github.com · ▲50Proves your PostgreSQL and MySQL backups actually restore, before you find out the hard way. - ahmadpiran/restoredrill
pgcmd – An alternative to psql with JSON output2019 · github.com · ▲76Non-interactive PostgreSQL query tool. Contribute to soheilpro/pgcmd development by creating an account on GitHub.
Pg_deltax, Apache-licensed alternative to TimescaleDBMay 2026 · github.com · ▲39Fast time-series extension for PostgreSQL. Contribute to xataio/deltax development by creating an account on GitHub.
Safe Data Changes in PostgreSQL2023 · github.com · ▲47Hi 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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