pitr

Continuous Archiving for Postgres

Backup and restore management tool for PostgreSQL

Backup / restore solution for PostgreSQL

DX-focused control plane for Postgres dedicated to non-critical workloads. Your postgres:latest replacement 🐘

DEPRECATED. PostgreSQL Point In Time Recovery made easy

MySQL Backup and Point-in-time Recovery service

High-performance Kafka backup and restore with point-in-time recovery. Supports Local file, S3, Azure, GCS. Open source (MIT).

Pgkit - Backup, PITR and recovery management made easy

Self-host Supabase in production, AI-ready: read-only MCP for your coding agent with zero secret exposure, SSO, PITR backups, monitoring, disk encryption, and one-command migration off Supabase Cloud.

Video Demo

🐳 Dockerfile for WAL-G and Postgres each bundled with Google's Brotli

s3-easy-pitr is a very easy and user-friendly tool for Point-In-Time Recovery (PITR) for S3-compatible object stores.

Self-managed PostgreSQL with Point-In-Time Recovery

Runnable demos for OSO Kafka Backup - featuring CLI, Java Streams, Spring Boot, and Python examples. Includes backup/restore, PITR, offset management, and performance benchmarks. Supports Kafka 3.7-4.1.

[Term Project] A wrapper for sqlite3 with an additional state recovery functionality

pgBackRest vasitəsilə tam, inkremental və differensial backup strategiyaları tətbiq edilir, Ansible playbookları isə quraşdırma, konfiqurasiya və bərpa proseslərini asanlaşdırır.

A production-ready MongoDB Backup Manager featuring automated scheduling, incremental backups with point-in-time recovery, and secure remote uploads—all largely managed through a clean web dashboard.

mdbp-pitr is a Point-in-Time Recovery (PITR) tool for MySQL and PostgreSQL databases. It enables you to create database snapshots, continuously replicate changes, and restore your database to any specific moment, minimizing data loss

Docker image for Postgresql PITR with wal-e and GPG

saiki is a lightweight continuous backup and disaster recovery tool for users of managed Kubernetes. Using familiar configuration (a la RBAC) and deployment patterns, users can spin up a continuous backup solution that ships backups to their preferred cloud object stores and restore Kubernetes resources to a point-in-time using the backups.