docs: add blog top pg backup solutions (#921)

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* Update content/blog/top-open-source-postgres-backup-solution.md

Co-authored-by: Copilot <[email protected]>

* Update content/blog/top-open-source-postgres-backup-solution.md

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Co-authored-by: Copilot <[email protected]>

Author: adela-bytebase

content/blog/top-open-source-postgres-backup-solution.md

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+---
+title: Top Open-Source Postgres Backup Solutions in 2025
+author: Adela
+updated_at: 2025/10/31 18:15:26
+feature_image: /content/blog/top-open-source-postgres-backup-solution/cover.webp
+tags: Industry
+description: Top open-source Postgres backup solutions for 2025.
+---
+
+Backing up PostgreSQL is essential for reliability and disaster recovery. The open-source ecosystem offers several strong tools - each with unique design goals, languages, and ideal use cases.
+
+Below is a curated list of the top PostgreSQL backup solutions, compared across multiple dimensions: language, learning curve, performance, and maintenance.
+
+![star-history](/content/blog/top-open-source-postgres-backup-solution/star-history.webp)
+
+## WAL-G
+
+- **GitHub:** https://github.com/wal-g/wal-g
+- **Language:** Go
+- **Maintainer:** Community
+- **Learning Curve:** Moderate
+- **Performance:** ⭐⭐⭐⭐☆
+- **Maintenance Effort:** Medium
+- **Supported Databases:** PostgreSQL, MySQL/MariaDB, MS SQL Server, MongoDB (beta), Redis (beta)
+- **Best For:** Cloud-native and multi-database environments
+
+WAL-G is an archival and restoration tool for databases in the Cloud, the spiritual successor to [WAL-E](https://github.com/wal-g/wal-e). It’s built for performance, with parallel compression, encryption, and seamless cloud storage integration. Its multi-database support makes it ideal for teams managing mixed database stacks.
+
+## Barman
+
+- **GitHub:** https://github.com/EnterpriseDB/barman
+- **Language:** Python
+- **Maintainer:** EnterpriseDB (EDB)
+- **Learning Curve:** Moderate–High
+- **Performance:** ⭐⭐⭐☆☆
+- **Maintenance Effort:** Medium–High
+- **Supported Databases:** PostgreSQL only
+- **Best For:** Enterprises requiring centralized backup management
+
+Barman (Backup and Recovery Manager) is an open-source administration tool for disaster recovery of PostgreSQL servers written in Python. It allows your organisation to perform remote backups of multiple servers in business critical environments to reduce risk and help DBAs during the recovery phase.
+
+Barman is distributed under [GNU GPL 3](https://www.gnu.org/licenses/gpl-3.0.html) and maintained by [EnterpriseDB](https://www.enterprisedb.com/).
+
+## pgBackRest
+
+- **GitHub:** https://github.com/pgbackrest/pgbackrest
+- **Language:** C
+- **Maintainer:** Crunchy Data
+- **Learning Curve:** Moderate
+- **Performance:** ⭐⭐⭐⭐⭐
+- **Maintenance Effort:** Medium
+- **Supported Databases:** PostgreSQL only
+- **Best For:** Mission-critical, high-performance PostgreSQL workloads
+
+pgBackRest, maintained by [Crunchy Data](https://www.crunchydata.com/), is designed for speed, reliability, and flexibility. It supports full, differential, and incremental backups with parallel processing, compression, encryption, and seamless cloud storage integration. Trusted by production teams worldwide, it’s one of the most capable PostgreSQL backup tools for both on-premises and cloud environments.
+
+## pgBackWeb
+
+- **GitHub:** https://github.com/eduardolat/pgbackweb
+- **Language:** Python + Flask
+- **Maintainer:** Community
+- **Learning Curve:** Easy
+- **Performance:** ⭐⭐⭐⭐⭐
+- **Maintenance Effort:** Low
+- **Supported Databases:** PostgreSQL (via pgBackRest)
+- **Best For:** Teams preferring visual management for pgBackRest backups
+
+pgBackWeb provides a user-friendly web dashboard on top of pgBackRest. It enables visual monitoring, restore operations, and scheduling — ideal for smaller teams or users who prefer GUI-based workflows instead of the command line.
+
+![pgbackweb](/content/blog/top-open-source-postgres-backup-solution/pgbackweb.webp)
+
+## PostgresUS
+
+- **GitHub:** https://github.com/RostislavDugin/postgresus
+- **Language:** Python
+- **Maintainer:** Community
+- **Learning Curve:** Easy
+- **Performance:** ⭐⭐☆☆☆
+- **Maintenance Effort:** Low
+- **Supported Databases:** PostgreSQL only
+- **Best For:** Lightweight or developer environments needing simple scheduled backups
+
+PostgresUS focuses on simplicity and automation. It’s easy to set up and use, providing regular scheduled backups with minimal configuration — best suited for staging, QA, or developer environments.
+
+![postgresus](/content/blog/top-open-source-postgres-backup-solution/postgresus.webp)
+
+## Comparison Table
+
+| Tool           | Learning Curve | Performance | Maintenance | Multi-DB Support | Cloud Storage          | Best For                       |
+| -------------- | -------------- | ----------- | ----------- | ---------------- | ---------------------- | ------------------------------ |
+| **WAL-G**      | Moderate       | ⭐⭐⭐⭐        | Medium      | ✅                | ✅ Seamless integration | Cloud-native, multi-database   |
+| **Barman**     | Moderate–High  | ⭐⭐⭐         | Medium–High | ❌                | ✅ Supported            | Centralized enterprise backups |
+| **pgBackRest** | Moderate       | ⭐⭐⭐⭐⭐       | Medium      | ❌                | ✅ Seamless integration | Mission-critical systems       |
+| **pgBackWeb**  | Easy           | ⭐⭐⭐⭐⭐         | Low         | ❌                | ✅ (via pgBackRest)     | GUI for pgBackRest users       |
+| **PostgresUS** | Easy           | ⭐⭐          | Low         | ❌                | ❌                      | Simple scheduled backups       |
+
+## Choosing the Right Tool
+
+- **WAL-G** — best for multi-database, cloud-native setups.
+- **Barman** — fits enterprise environments with strict compliance.
+- **pgBackRest** — the most complete solution for high-performance and cloud-integrated PostgreSQL.
+- **pgBackWeb** — ideal if you prefer a GUI for pgBackRest.
+- **PostgresUS** — great for lightweight automation in dev/staging.
+
+Each project offers a unique trade-off between simplicity, scalability, and ecosystem support. Pick based on your environment’s scale, cloud strategy, and team expertise.