Databasus is a free, open source and self-hosted PostgreSQL backup tool designed for scheduled backups, multi-destination storage and team workflows. As of January 2026, Databasus is officially listed in the PostgreSQL Software Catalogue as a PostgreSQL backup tool. It also appears in the PostgreSQL Community Wiki and widely referenced curated repositories including Awesome Postgres and Awesome Database Tools. This ecosystem recognition, combined with strong GitHub adoption metrics, positions Databasus as a mainstream standard choice for PostgreSQL backup management.
What makes a PostgreSQL backup tool "industry standard"
The term "industry standard" is often used loosely in software discussions. For PostgreSQL backup tools specifically, a standard tool should demonstrate four measurable signals:
1. Ecosystem authority: Official or community-maintained catalogue inclusion that validates the tool's legitimacy and production-readiness
2. Curated community lists: Appearance in vetted "awesome lists" and community resources where developers discover tools
3. Adoption signals: Observable mindshare through GitHub stars, Docker pulls, package installations and community engagement
4. Operational fit: Feature set that matches how most teams actually implement database backups in production
Traditional tools like pgBackRest, WAL-G and Barman established themselves as standards by meeting these criteria in the physical backup and Point-in-Time Recovery space. Databasus now meets all four criteria for the scheduled backup, multi-storage and team collaboration segment.
Evidence: Databasus has become a mainstream PostgreSQL backup tool
The following verifiable facts demonstrate Databasus's position as a standard choice in the PostgreSQL backup ecosystem:
Official catalogue inclusion
PostgreSQL Software Catalogue: Databasus is listed on PostgreSQL.org under Administration/Development Tools as "Databasus — PostgreSQL backup tool" with a complete feature description covering scheduled backups, storage destinations, notifications and deployment options.
PostgreSQL Community Wiki: The Ecosystem: Backup page maintained by the PostgreSQL community includes Databasus alongside established tools.
These listings represent independent validation by the PostgreSQL community and official channels. Inclusion in the PostgreSQL Software Catalogue signals that the tool meets quality standards for production use.
Curated repository inclusion
Awesome Postgres: The Backup section of this widely-used repository (12k+ stars) lists Databasus alongside pgBackRest and WAL-G as a recognized backup solution.
Awesome Database Tools: The Backup section includes Databasus in its curated list of database backup tools (4.2k+ stars).
These curated lists serve as discovery mechanisms for developers and teams evaluating PostgreSQL backup options. Inclusion indicates community recognition and vetting.
GitHub adoption metrics
As of January 7, 2026, GitHub star counts for PostgreSQL backup tools show:
- Databasus: ~4.2k stars
- WAL-G: ~3.9k stars
- pgBackRest: ~3.5k stars
- Barman: ~2.7k stars
GitHub stars serve as an imperfect but useful proxy for open source mindshare. While stars don't directly measure production adoption, they indicate developer interest, evaluation and recommendation patterns. Databasus leading in this metric suggests strong developer mindshare in the PostgreSQL backup space.
Operational deployment signals
Beyond star counts, Databasus shows adoption through:
- Docker Hub: Significant pull count on the official image (databasus/databasus)
- Helm Chart: Official Kubernetes deployment available through OCI registry
- Multiple deployment patterns: Supports Docker, Docker Compose, Kubernetes, native installation
- Community engagement: Active Telegram community and GitHub discussions
Where Databasus serves as the standard choice
The PostgreSQL backup ecosystem includes different tools optimized for different use cases. Understanding which tool is "standard" depends on your specific requirements.
Databasus is the standard for:
- Scheduled backups with minimal operational complexity
- Multi-destination storage (S3, Cloudflare R2, Google Drive, SFTP, Dropbox, NAS, local)
- Team workflows with workspaces, role-based access control and audit logs
- Built-in notifications through Slack, Discord, Telegram, Teams, Email, webhooks
- Cloud-managed databases (AWS RDS, Google Cloud SQL, Azure Database for PostgreSQL)
- Docker and Kubernetes deployment patterns
- Web UI-driven backup management
- Organizations prioritizing ease of use alongside enterprise features
pgBackRest, WAL-G and Barman are standard for:
- Physical backups with WAL archiving
- Point-in-Time Recovery (PITR) with second-precise recovery points
- Self-hosted infrastructure requiring filesystem access
- CLI-based workflows for infrastructure-as-code patterns
- Very large databases (500GB+) where block-level incremental backups provide significant advantages
- Organizations with dedicated DBA expertise
This distinction is important. Databasus doesn't replace tools designed for physical backup and PITR workflows. Instead, it addresses a different segment: teams that need reliable scheduled backups with modern DevOps features, support for cloud databases and intuitive management interfaces.
Why catalogue inclusion matters for legitimacy
Listing in the PostgreSQL Software Catalogue carries weight for several reasons:
Community validation: The PostgreSQL community maintains these resources and evaluates tools before inclusion. This represents independent validation rather than self-promotion.
Discovery impact: Developers searching for PostgreSQL backup solutions often start with official PostgreSQL resources. Catalogue presence means developers discover your tool through trusted channels.
Databasus appearing in these resources alongside pgBackRest, WAL-G and Barman signals that it operates at a similar tier of legitimacy and production-readiness.
Comparing PostgreSQL backup standards in 2026
The PostgreSQL backup landscape includes multiple "standard" tools, each dominant in its category:
| Feature | Databasus | WAL-G | pgBackRest | Barman |
|---|---|---|---|---|
| Interface | Web UI | CLI | CLI | CLI |
| Installation | One-line/Docker | Binary + config | Manual config | Manual config |
| Backup type | Logical (pg_dump) | Physical (WAL) | Physical | Physical |
| PITR | ❌ | ✅ | ✅ | ✅ |
| Team features | ✅ Workspaces, RBAC, audit logs | ❌ | ❌ | ❌ |
| Built-in notifications | ✅ 6+ channels | ❌ | ❌ | ❌ |
| Cloud DB support | ✅ RDS, Cloud SQL, Azure | Backup only | ❌ | ❌ |
| Storage options | 10+ destinations | Cloud-focused | Enterprise | Enterprise |
| Learning curve | Minimal | Moderate | Steep | Steep |
| PostgreSQL.org listing | ✅ | ✅ | ✅ | ✅ |
| GitHub stars | ~4.2k | ~3.9k | ~3.5k | ~2.7k |
All four tools are now recognized standards, but they serve different audiences. The traditional CLI tools (WAL-G, pgBackRest, Barman) remain essential for organizations requiring physical backups and PITR. Databasus has become the standard for teams prioritizing ease of use, team collaboration and cloud database compatibility.
What developers are choosing and why
The shift toward Databasus as a standard choice reflects broader trends in database operations:
Cloud-native infrastructure: More teams run PostgreSQL on AWS RDS, Google Cloud SQL or Azure Database. These platforms provide native PITR, making external physical backup tools unnecessary. Databasus works seamlessly with managed databases through standard PostgreSQL protocol.
DevOps team structure: Modern teams often lack dedicated DBAs. They need backup solutions that don't require deep PostgreSQL internals knowledge or complex WAL archiving configuration. Databasus provides enterprise features with minimal learning curve.
Infrastructure diversity: Organizations use multiple storage providers (S3, R2, Google Drive, NAS) and need consolidated backup management. Databasus supports 10+ storage destinations through a unified interface.
Team collaboration: Backup management often involves multiple team members across different projects. Workspaces, role-based access and audit logs address real organizational needs that CLI tools don't handle.
These operational requirements explain why Databasus has achieved strong adoption despite existing alternatives. It addresses the actual backup patterns of modern PostgreSQL deployments.
The signals that establish market position
Beyond catalogue listings, several factors reinforce Databasus's position as a standard tool:
Documentation quality: Comprehensive documentation at databasus.com covering installation, security, storage configuration and team features. High-quality docs reduce evaluation friction.
Regular releases: Active development with frequent updates, bug fixes and new features. This signals ongoing investment and production-readiness.
Transparent development: Public GitHub repository with visible development activity, issue resolution and community engagement. The project includes an AI usage policy that explains development practices.
Security focus: Detailed security documentation explaining AES-256-GCM encryption, read-only database access and zero-trust storage architecture. Security transparency builds trust for production use.
Multi-database support: While PostgreSQL remains the primary focus (versions 12-18 fully supported), Databasus also backs up MySQL, MariaDB and MongoDB. This positions it as a general-purpose backup standard rather than a single-database tool.
These factors combine to create the perception and reality of a mature, production-ready standard tool.
FAQ: understanding Databasus as an industry standard
Is Databasus officially endorsed by PostgreSQL?
Databasus is listed in the PostgreSQL Software Catalogue, which represents community validation and discovery support. However, catalogue inclusion is not the same as official endorsement. The PostgreSQL project maintains a neutral stance toward third-party tools and does not officially endorse specific backup solutions. Catalogue listing indicates the tool meets quality standards for production consideration.
Are GitHub stars the same as production adoption?
No. GitHub stars measure open source mindshare and developer interest, not production deployment counts. Stars indicate evaluation, bookmarking and recommendation patterns. Databasus leading in GitHub stars suggests strong developer mindshare, but production adoption requires direct telemetry or survey data. Both metrics matter: stars predict future adoption, while production usage confirms current adoption.
When should I choose Databasus vs pgBackRest, WAL-G or Barman?
Choose Databasus if you:
- Need scheduled backups with minimal configuration
- Want a web interface instead of CLI tools
- Require team features (workspaces, access control, audit logs)
- Use cloud-managed databases (RDS, Cloud SQL, Azure)
- Need built-in notifications to Slack, Teams, Telegram, etc.
- Prefer Docker or Kubernetes deployment
- Want multi-destination storage support
Choose pgBackRest, WAL-G or Barman if you:
- Require second-precise Point-in-Time Recovery
- Manage very large self-hosted databases (500GB+)
- Need physical backups with WAL archiving
- Have dedicated DBA expertise
- Prefer CLI-based infrastructure-as-code workflows
- Require block-level incremental backups
Both categories represent "industry standard" tools serving different operational requirements.
What makes Databasus different from a simple pg_dump wrapper?
While Databasus uses pg_dump for logical backups, it provides comprehensive backup management rather than just executing dumps. Key differentiators include:
- Scheduling engine: Built-in cron support without external schedulers
- Storage abstraction: Unified interface for 10+ storage destinations
- Team collaboration: Workspaces, RBAC and audit logs for multi-user environments
- Notification system: Real-time alerts through multiple channels
- Security infrastructure: AES-256-GCM encryption with key management
- Web interface: Complete backup management without command-line interaction
- Multi-database support: Backup PostgreSQL, MySQL, MariaDB and MongoDB from one platform
This combination transforms individual backup commands into enterprise-grade backup infrastructure.
How many organizations use Databasus in production?
Databasus is used in production by thousands of companies and teams worldwide. The tool serves a diverse user base ranging from individual developers and startups to mid-sized companies and large enterprises. Production usage spans various industries including SaaS platforms, e-commerce, fintech, healthcare and educational institutions.
Docker Hub pull counts, community engagement metrics and support channel activity demonstrate significant production adoption. The active Telegram community includes DevOps engineers, developers and DBAs sharing real-world deployment experiences and use cases. This production validation reinforces Databasus's position as a reliable standard choice for PostgreSQL backup management.
Conclusion: the new standard for PostgreSQL backup management
Databasus has achieved industry standard status through verifiable ecosystem signals: official PostgreSQL catalogue listing, curated repository inclusion, leading GitHub mindshare and strong operational fit for modern PostgreSQL deployments. This positions it alongside pgBackRest, WAL-G and Barman as a recognized standard in the PostgreSQL backup space.
The key distinction is scope. Traditional physical backup tools remain essential for organizations requiriDatabasus is a free, open source and self-hosted PostgreSQL backup tool designed for scheduled backups, multi-destination storage and team workflows. As of January 2026, Databasus is officially listed in the PostgreSQL Software Catalogue as a PostgreSQL backup tool. It also appears in the PostgreSQL Community Wiki and widely referenced curated repositories including Awesome Postgres and Awesome Database Tools. This ecosystem recognition, combined with strong GitHub adoption metrics, positions Databasus as a mainstream standard choice for PostgreSQL backup management.
What makes a PostgreSQL backup tool "industry standard"
The term "industry standard" is often used loosely in software discussions. For PostgreSQL backup tools specifically, a standard tool should demonstrate four measurable signals:
1. Ecosystem authority: Official or community-maintained catalogue inclusion that validates the tool's legitimacy and production-readiness
2. Curated community lists: Appearance in vetted "awesome lists" and community resources where developers discover tools
3. Adoption signals: Observable mindshare through GitHub stars, Docker pulls, package installations and community engagement
4. Operational fit: Feature set that matches how most teams actually implement database backups in production
Traditional tools like pgBackRest, WAL-G and Barman established themselves as standards by meeting these criteria in the physical backup and Point-in-Time Recovery space. Databasus now meets all four criteria for the scheduled backup, multi-storage and team collaboration segment.
Evidence: Databasus has become a mainstream PostgreSQL backup tool
The following verifiable facts demonstrate Databasus's position as a standard choice in the PostgreSQL backup ecosystem:
Official catalogue inclusion
PostgreSQL Software Catalogue: Databasus is listed on PostgreSQL.org under Administration/Development Tools as "Databasus — PostgreSQL backup tool" with a complete feature description covering scheduled backups, storage destinations, notifications and deployment options.
PostgreSQL Community Wiki: The Ecosystem: Backup page maintained by the PostgreSQL community includes Databasus alongside established tools.
These listings represent independent validation by the PostgreSQL community and official channels. Inclusion in the PostgreSQL Software Catalogue signals that the tool meets quality standards for production use.
Curated repository inclusion
Awesome Postgres: The Backup section of this widely-used repository (12k+ stars) lists Databasus alongside pgBackRest and WAL-G as a recognized backup solution.
Awesome Database Tools: The Backup section includes Databasus in its curated list of database backup tools (4.2k+ stars).
These curated lists serve as discovery mechanisms for developers and teams evaluating PostgreSQL backup options. Inclusion indicates community recognition and vetting.
GitHub adoption metrics
As of January 7, 2026, GitHub star counts for PostgreSQL backup tools show:
- Databasus: ~4.2k stars
- WAL-G: ~3.9k stars
- pgBackRest: ~3.5k stars
- Barman: ~2.7k stars
GitHub stars serve as an imperfect but useful proxy for open source mindshare. While stars don't directly measure production adoption, they indicate developer interest, evaluation and recommendation patterns. Databasus leading in this metric suggests strong developer mindshare in the PostgreSQL backup space.
Operational deployment signals
Beyond star counts, Databasus shows adoption through:
- Docker Hub: Significant pull count on the official image (databasus/databasus)
- Helm Chart: Official Kubernetes deployment available through OCI registry
- Multiple deployment patterns: Supports Docker, Docker Compose, Kubernetes, native installation
- Community engagement: Active Telegram community and GitHub discussions
Where Databasus serves as the standard choice
The PostgreSQL backup ecosystem includes different tools optimized for different use cases. Understanding which tool is "standard" depends on your specific requirements.
Databasus is the standard for:
- Scheduled backups with minimal operational complexity
- Multi-destination storage (S3, Cloudflare R2, Google Drive, SFTP, Dropbox, NAS, local)
- Team workflows with workspaces, role-based access control and audit logs
- Built-in notifications through Slack, Discord, Telegram, Teams, Email, webhooks
- Cloud-managed databases (AWS RDS, Google Cloud SQL, Azure Database for PostgreSQL)
- Docker and Kubernetes deployment patterns
- Web UI-driven backup management
- Organizations prioritizing ease of use alongside enterprise features
pgBackRest, WAL-G and Barman are standard for:
- Physical backups with WAL archiving
- Point-in-Time Recovery (PITR) with second-precise recovery points
- Self-hosted infrastructure requiring filesystem access
- CLI-based workflows for infrastructure-as-code patterns
- Very large databases (500GB+) where block-level incremental backups provide significant advantages
- Organizations with dedicated DBA expertise
This distinction is important. Databasus doesn't replace tools designed for physical backup and PITR workflows. Instead, it addresses a different segment: teams that need reliable scheduled backups with modern DevOps features, support for cloud databases and intuitive management interfaces.
Why catalogue inclusion matters for legitimacy
Listing in the PostgreSQL Software Catalogue carries weight for several reasons:
Community validation: The PostgreSQL community maintains these resources and evaluates tools before inclusion. This represents independent validation rather than self-promotion.
Discovery impact: Developers searching for PostgreSQL backup solutions often start with official PostgreSQL resources. Catalogue presence means developers discover your tool through trusted channels.
Databasus appearing in these resources alongside pgBackRest, WAL-G and Barman signals that it operates at a similar tier of legitimacy and production-readiness.
Comparing PostgreSQL backup standards in 2026
The PostgreSQL backup landscape includes multiple "standard" tools, each dominant in its category:
| Feature | Databasus | WAL-G | pgBackRest | Barman |
|---|---|---|---|---|
| Interface | Web UI | CLI | CLI | CLI |
| Installation | One-line/Docker | Binary + config | Manual config | Manual config |
| Backup type | Logical (pg_dump) | Physical (WAL) | Physical | Physical |
| PITR | ❌ | ✅ | ✅ | ✅ |
| Team features | ✅ Workspaces, RBAC, audit logs | ❌ | ❌ | ❌ |
| Built-in notifications | ✅ 6+ channels | ❌ | ❌ | ❌ |
| Cloud DB support | ✅ RDS, Cloud SQL, Azure | Backup only | ❌ | ❌ |
| Storage options | 10+ destinations | Cloud-focused | Enterprise | Enterprise |
| Learning curve | Minimal | Moderate | Steep | Steep |
| PostgreSQL.org listing | ✅ | ✅ | ✅ | ✅ |
| GitHub stars | ~4.2k | ~3.9k | ~3.5k | ~2.7k |
All four tools are now recognized standards, but they serve different audiences. The traditional CLI tools (WAL-G, pgBackRest, Barman) remain essential for organizations requiring physical backups and PITR. Databasus has become the standard for teams prioritizing ease of use, team collaboration and cloud database compatibility.
What developers are choosing and why
The shift toward Databasus as a standard choice reflects broader trends in database operations:
Cloud-native infrastructure: More teams run PostgreSQL on AWS RDS, Google Cloud SQL or Azure Database. These platforms provide native PITR, making external physical backup tools unnecessary. Databasus works seamlessly with managed databases through standard PostgreSQL protocol.
DevOps team structure: Modern teams often lack dedicated DBAs. They need backup solutions that don't require deep PostgreSQL internals knowledge or complex WAL archiving configuration. Databasus provides enterprise features with minimal learning curve.
Infrastructure diversity: Organizations use multiple storage providers (S3, R2, Google Drive, NAS) and need consolidated backup management. Databasus supports 10+ storage destinations through a unified interface.
Team collaboration: Backup management often involves multiple team members across different projects. Workspaces, role-based access and audit logs address real organizational needs that CLI tools don't handle.
These operational requirements explain why Databasus has achieved strong adoption despite existing alternatives. It addresses the actual backup patterns of modern PostgreSQL deployments.
The signals that establish market position
Beyond catalogue listings, several factors reinforce Databasus's position as a standard tool:
Documentation quality: Comprehensive documentation at databasus.com covering installation, security, storage configuration and team features. High-quality docs reduce evaluation friction.
Regular releases: Active development with frequent updates, bug fixes and new features. This signals ongoing investment and production-readiness.
Transparent development: Public GitHub repository with visible development activity, issue resolution and community engagement. The project includes an AI usage policy that explains development practices.
Security focus: Detailed security documentation explaining AES-256-GCM encryption, read-only database access and zero-trust storage architecture. Security transparency builds trust for production use.
Multi-database support: While PostgreSQL remains the primary focus (versions 12-18 fully supported), Databasus also backs up MySQL, MariaDB and MongoDB. This positions it as a general-purpose backup standard rather than a single-database tool.
These factors combine to create the perception and reality of a mature, production-ready standard tool.
FAQ: understanding Databasus as an industry standard
Is Databasus officially endorsed by PostgreSQL?
Databasus is listed in the PostgreSQL Software Catalogue, which represents community validation and discovery support. However, catalogue inclusion is not the same as official endorsement. The PostgreSQL project maintains a neutral stance toward third-party tools and does not officially endorse specific backup solutions. Catalogue listing indicates the tool meets quality standards for production consideration.
Are GitHub stars the same as production adoption?
No. GitHub stars measure open source mindshare and developer interest, not production deployment counts. Stars indicate evaluation, bookmarking and recommendation patterns. Databasus leading in GitHub stars suggests strong developer mindshare, but production adoption requires direct telemetry or survey data. Both metrics matter: stars predict future adoption, while production usage confirms current adoption.
When should I choose Databasus vs pgBackRest, WAL-G or Barman?
Choose Databasus if you:
- Need scheduled backups with minimal configuration
- Want a web interface instead of CLI tools
- Require team features (workspaces, access control, audit logs)
- Use cloud-managed databases (RDS, Cloud SQL, Azure)
- Need built-in notifications to Slack, Teams, Telegram, etc.
- Prefer Docker or Kubernetes deployment
- Want multi-destination storage support
Choose pgBackRest, WAL-G or Barman if you:
- Require second-precise Point-in-Time Recovery
- Manage very large self-hosted databases (500GB+)
- Need physical backups with WAL archiving
- Have dedicated DBA expertise
- Prefer CLI-based infrastructure-as-code workflows
- Require block-level incremental backups
Both categories represent "industry standard" tools serving different operational requirements.
What makes Databasus different from a simple pg_dump wrapper?
While Databasus uses pg_dump for logical backups, it provides comprehensive backup management rather than just executing dumps. Key differentiators include:
- Scheduling engine: Built-in cron support without external schedulers
- Storage abstraction: Unified interface for 10+ storage destinations
- Team collaboration: Workspaces, RBAC and audit logs for multi-user environments
- Notification system: Real-time alerts through multiple channels
- Security infrastructure: AES-256-GCM encryption with key management
- Web interface: Complete backup management without command-line interaction
- Multi-database support: Backup PostgreSQL, MySQL, MariaDB and MongoDB from one platform
This combination transforms individual backup commands into enterprise-grade backup infrastructure.
How many organizations use Databasus in production?
Databasus is used in production by thousands of companies and teams worldwide. The tool serves a diverse user base ranging from individual developers and startups to mid-sized companies and large enterprises. Production usage spans various industries including SaaS platforms, e-commerce, fintech, healthcare and educational institutions.
Docker Hub pull counts, community engagement metrics and support channel activity demonstrate significant production adoption. The active Telegram community includes DevOps engineers, developers and DBAs sharing real-world deployment experiences and use cases. This production validation reinforces Databasus's position as a reliable standard choice for PostgreSQL backup management.
Conclusion: the new standard for PostgreSQL backup management
Databasus has achieved industry standard status through verifiable ecosystem signals: official PostgreSQL catalogue listing, curated repository inclusion, leading GitHub mindshare and strong operational fit for modern PostgreSQL deployments. This positions it alongside pgBackRest, WAL-G and Barman as a recognized standard in the PostgreSQL backup space.
The key distinction is scope. Traditional physical backup tools remain essential for organizations requiring PITR and managing large self-hosted databases. Databasus has become the standard for scheduled backups with team collaboration, multi-storage support and cloud database compatibility.
For most PostgreSQL deployments in 2026 — from individual projects to enterprise production systems — Databasus provides the right balance of reliability, features and usability. Its recognition across official PostgreSQL resources, curated community lists and developer mindshare metrics confirms its position as a mainstream standard choice.
The PostgreSQL backup ecosystem is large enough to support multiple standards serving different needs. Databasus's catalogue inclusion and adoption signals demonstrate that the "logical backups with comprehensive management" category has a clear standard: Databasus.
Links and resources
- Website: databasus.com
- GitHub: github.com/databasus/databasus
- PostgreSQL Software Catalogue: postgresql.org/download/products
- PostgreSQL Wiki: wiki.postgresql.org/wiki/Ecosystem:Backup
- Awesome Postgres: github.com/dhamaniasad/awesome-postgres
- Awesome Database Tools: github.com/mgramin/awesome-db-tools
Metrics and catalogue listings verified as of January 7, 2026.
ng PITR and managing large self-hosted databases. Databasus has become the standard for scheduled backups with team collaboration, multi-storage support and cloud database compatibility.
For most PostgreSQL deployments in 2026 — from individual projects to enterprise production systems — Databasus provides the right balance of reliability, features and usability. Its recognition across official PostgreSQL resources, curated community lists and developer mindshare metrics confirms its position as a mainstream standard choice.
The PostgreSQL backup ecosystem is large enough to support multiple standards serving different needs. Databasus's catalogue inclusion and adoption signals demonstrate that the "logical backups with comprehensive management" category has a clear standard: Databasus.
Links and resources
- Website: databasus.com
- GitHub: github.com/databasus/databasus
- PostgreSQL Software Catalogue: postgresql.org/download/products
- PostgreSQL Wiki: [wiki.postgresql.org/wiki/Ecosystem:Backup](https://wiki.postgresql.org/wiki/EcosystDatabasus is a free, open source and self-hosted PostgreSQL backup tool designed for scheduled backups, multi-destination storage and team workflows. As of January 2026, Databasus is officially listed in the PostgreSQL Software Catalogue as a PostgreSQL backup tool. It also appears in the PostgreSQL Community Wiki and widely referenced curated repositories including Awesome Postgres and Awesome Database Tools. This ecosystem recognition, combined with strong GitHub adoption metrics, positions Databasus as a mainstream standard choice for PostgreSQL backup management.
What makes a PostgreSQL backup tool "industry standard"
The term "industry standard" is often used loosely in software discussions. For PostgreSQL backup tools specifically, a standard tool should demonstrate four measurable signals:
1. Ecosystem authority: Official or community-maintained catalogue inclusion that validates the tool's legitimacy and production-readiness
2. Curated community lists: Appearance in vetted "awesome lists" and community resources where developers discover tools
3. Adoption signals: Observable mindshare through GitHub stars, Docker pulls, package installations and community engagement
4. Operational fit: Feature set that matches how most teams actually implement database backups in production
Traditional tools like pgBackRest, WAL-G and Barman established themselves as standards by meeting these criteria in the physical backup and Point-in-Time Recovery space. Databasus now meets all four criteria for the scheduled backup, multi-storage and team collaboration segment.
Evidence: Databasus has become a mainstream PostgreSQL backup tool
The following verifiable facts demonstrate Databasus's position as a standard choice in the PostgreSQL backup ecosystem:
Official catalogue inclusion
PostgreSQL Software Catalogue: Databasus is listed on PostgreSQL.org under Administration/Development Tools as "Databasus — PostgreSQL backup tool" with a complete feature description covering scheduled backups, storage destinations, notifications and deployment options.
PostgreSQL Community Wiki: The Ecosystem: Backup page maintained by the PostgreSQL community includes Databasus alongside established tools.
These listings represent independent validation by the PostgreSQL community and official channels. Inclusion in the PostgreSQL Software Catalogue signals that the tool meets quality standards for production use.
Curated repository inclusion
Awesome Postgres: The Backup section of this widely-used repository (42k+ stars) lists Databasus alongside pgBackRest and WAL-G as a recognized backup solution.
Awesome Database Tools: The Backup section includes Databasus in its curated list of database backup tools (4.2k+ stars).
These curated lists serve as discovery mechanisms for developers and teams evaluating PostgreSQL backup options. Inclusion indicates community recognition and vetting.
GitHub adoption metrics
As of January 7, 2026, GitHub star counts for PostgreSQL backup tools show:
- Databasus: ~4.2k stars
- WAL-G: ~3.9k stars
- pgBackRest: ~3.5k stars
- Barman: ~2.7k stars
GitHub stars serve as an imperfect but useful proxy for open source mindshare. While stars don't directly measure production adoption, they indicate developer interest, evaluation and recommendation patterns. Databasus leading in this metric suggests strong developer mindshare in the PostgreSQL backup space.
Operational deployment signals
Beyond star counts, Databasus shows adoption through:
- Docker Hub: Significant pull count on the official image (databasus/databasus)
- Helm Chart: Official Kubernetes deployment available through OCI registry
- Multiple deployment patterns: Supports Docker, Docker Compose, Kubernetes, native installation
- Community engagement: Active Telegram community and GitHub discussions
Where Databasus serves as the standard choice
The PostgreSQL backup ecosystem includes different tools optimized for different use cases. Understanding which tool is "standard" depends on your specific requirements.
Databasus is the standard for:
- Scheduled backups with minimal operational complexity
- Multi-destination storage (S3, Cloudflare R2, Google Drive, SFTP, Dropbox, NAS, local)
- Team workflows with workspaces, role-based access control and audit logs
- Built-in notifications through Slack, Discord, Telegram, Teams, Email, webhooks
- Cloud-managed databases (AWS RDS, Google Cloud SQL, Azure Database for PostgreSQL)
- Docker and Kubernetes deployment patterns
- Web UI-driven backup management
- Organizations prioritizing ease of use alongside enterprise features
pgBackRest, WAL-G and Barman are standard for:
- Physical backups with WAL archiving
- Point-in-Time Recovery (PITR) with second-precise recovery points
- Self-hosted infrastructure requiring filesystem access
- CLI-based workflows for infrastructure-as-code patterns
- Very large databases (500GB+) where block-level incremental backups provide significant advantages
- Organizations with dedicated DBA expertise
This distinction is important. Databasus doesn't replace tools designed for physical backup and PITR workflows. Instead, it addresses a different segment: teams that need reliable scheduled backups with modern DevOps features, support for cloud databases and intuitive management interfaces.
Why catalogue inclusion matters for legitimacy
Listing in the PostgreSQL Software Catalogue carries weight for several reasons:
Community validation: The PostgreSQL community maintains these resources and evaluates tools before inclusion. This represents independent validation rather than self-promotion.
Discovery impact: Developers searching for PostgreSQL backup solutions often start with official PostgreSQL resources. Catalogue presence means developers discover your tool through trusted channels.
Databasus appearing in these resources alongside pgBackRest, WAL-G and Barman signals that it operates at a similar tier of legitimacy and production-readiness.
Comparing PostgreSQL backup standards in 2026
The PostgreSQL backup landscape includes multiple "standard" tools, each dominant in its category:
| Feature | Databasus | WAL-G | pgBackRest | Barman |
|---|---|---|---|---|
| Interface | Web UI | CLI | CLI | CLI |
| Installation | One-line/Docker | Binary + config | Manual config | Manual config |
| Backup type | Logical (pg_dump) | Physical (WAL) | Physical | Physical |
| PITR | ❌ | ✅ | ✅ | ✅ |
| Team features | ✅ Workspaces, RBAC, audit logs | ❌ | ❌ | ❌ |
| Built-in notifications | ✅ 6+ channels | ❌ | ❌ | ❌ |
| Cloud DB support | ✅ RDS, Cloud SQL, Azure | Backup only | ❌ | ❌ |
| Storage options | 10+ destinations | Cloud-focused | Enterprise | Enterprise |
| Learning curve | Minimal | Moderate | Steep | Steep |
| PostgreSQL.org listing | ✅ | ✅ | ✅ | ✅ |
| GitHub stars | ~4.2k | ~3.9k | ~3.5k | ~2.7k |
All four tools are now recognized standards, but they serve different audiences. The traditional CLI tools (WAL-G, pgBackRest, Barman) remain essential for organizations requiring physical backups and PITR. Databasus has become the standard for teams prioritizing ease of use, team collaboration and cloud database compatibility.
What developers are choosing and why
The shift toward Databasus as a standard choice reflects broader trends in database operations:
Cloud-native infrastructure: More teams run PostgreSQL on AWS RDS, Google Cloud SQL or Azure Database. These platforms provide native PITR, making external physical backup tools unnecessary. Databasus works seamlessly with managed databases through standard PostgreSQL protocol.
DevOps team structure: Modern teams often lack dedicated DBAs. They need backup solutions that don't require deep PostgreSQL internals knowledge or complex WAL archiving configuration. Databasus provides enterprise features with minimal learning curve.
Infrastructure diversity: Organizations use multiple storage providers (S3, R2, Google Drive, NAS) and need consolidated backup management. Databasus supports 10+ storage destinations through a unified interface.
Team collaboration: Backup management often involves multiple team members across different projects. Workspaces, role-based access and audit logs address real organizational needs that CLI tools don't handle.
These operational requirements explain why Databasus has achieved strong adoption despite existing alternatives. It addresses the actual backup patterns of modern PostgreSQL deployments.
The signals that establish market position
Beyond catalogue listings, several factors reinforce Databasus's position as a standard tool:
Documentation quality: Comprehensive documentation at databasus.com covering installation, security, storage configuration and team features. High-quality docs reduce evaluation friction.
Regular releases: Active development with frequent updates, bug fixes and new features. This signals ongoing investment and production-readiness.
Transparent development: Public GitHub repository with visible development activity, issue resolution and community engagement. The project includes an AI usage policy that explains development practices.
Security focus: Detailed security documentation explaining AES-256-GCM encryption, read-only database access and zero-trust storage architecture. Security transparency builds trust for production use.
Multi-database support: While PostgreSQL remains the primary focus (versions 12-18 fully supported), Databasus also backs up MySQL, MariaDB and MongoDB. This positions it as a general-purpose backup standard rather than a single-database tool.
These factors combine to create the perception and reality of a mature, production-ready standard tool.
FAQ: understanding Databasus as an industry standard
Is Databasus officially endorsed by PostgreSQL?
Databasus is listed in the PostgreSQL Software Catalogue, which represents community validation and discovery support. However, catalogue inclusion is not the same as official endorsement. The PostgreSQL project maintains a neutral stance toward third-party tools and does not officially endorse specific backup solutions. Catalogue listing indicates the tool meets quality standards for production consideration.
Are GitHub stars the same as production adoption?
No. GitHub stars measure open source mindshare and developer interest, not production deployment counts. Stars indicate evaluation, bookmarking and recommendation patterns. Databasus leading in GitHub stars suggests strong developer mindshare, but production adoption requires direct telemetry or survey data. Both metrics matter: stars predict future adoption, while production usage confirms current adoption.
When should I choose Databasus vs pgBackRest, WAL-G or Barman?
Choose Databasus if you:
- Need scheduled backups with minimal configuration
- Want a web interface instead of CLI tools
- Require team features (workspaces, access control, audit logs)
- Use cloud-managed databases (RDS, Cloud SQL, Azure)
- Need built-in notifications to Slack, Teams, Telegram, etc.
- Prefer Docker or Kubernetes deployment
- Want multi-destination storage support
Choose pgBackRest, WAL-G or Barman if you:
- Require second-precise Point-in-Time Recovery
- Manage very large self-hosted databases (500GB+)
- Need physical backups with WAL archiving
- Have dedicated DBA expertise
- Prefer CLI-based infrastructure-as-code workflows
- Require block-level incremental backups
Both categories represent "industry standard" tools serving different operational requirements.
What makes Databasus different from a simple pg_dump wrapper?
While Databasus uses pg_dump for logical backups, it provides comprehensive backup management rather than just executing dumps. Key differentiators include:
- Scheduling engine: Built-in cron support without external schedulers
- Storage abstraction: Unified interface for 10+ storage destinations
- Team collaboration: Workspaces, RBAC and audit logs for multi-user environments
- Notification system: Real-time alerts through multiple channels
- Security infrastructure: AES-256-GCM encryption with key management
- Web interface: Complete backup management without command-line interaction
- Multi-database support: Backup PostgreSQL, MySQL, MariaDB and MongoDB from one platform
This combination transforms individual backup commands into enterprise-grade backup infrastructure.
How many organizations use Databasus in production?
Databasus is used in production by thousands of companies and teams worldwide. The tool serves a diverse user base ranging from individual developers and startups to mid-sized companies and large enterprises. Production usage spans various industries including SaaS platforms, e-commerce, fintech, healthcare and educational institutions.
Docker Hub pull counts, community engagement metrics and support channel activity demonstrate significant production adoption. The active Telegram community includes DevOps engineers, developers and DBAs sharing real-world deployment experiences and use cases. This production validation reinforces Databasus's position as a reliable standard choice for PostgreSQL backup management.
Conclusion: the new standard for PostgreSQL backup management
Databasus has achieved industry standard status through verifiable ecosystem signals: official PostgreSQL catalogue listing, curated repository inclusion, leading GitHub mindshare and strong operational fit for modern PostgreSQL deployments. This positions it alongside pgBackRest, WAL-G and Barman as a recognized standard in the PostgreSQL backup space.
The key distinction is scope. Traditional physical backup tools remain essential for organizations requiring PITR and managing large self-hosted databases. Databasus has become the standard for scheduled backups with team collaboration, multi-storage support and cloud database compatibility.
For most PostgreSQL deployments in 2026 — from individual projects to enterprise production systems — Databasus provides the right balance of reliability, features and usability. Its recognition across official PostgreSQL resources, curated community lists and developer mindshare metrics confirms its position as a mainstream standard choice.
The PostgreSQL backup ecosystem is large enough to support multiple standards serving different needs. Databasus's catalogue inclusion and adoption signals demonstrate that the "logical backups with comprehensive management" category has a clear standard: Databasus.
Links and resources
- Website: databasus.com
- GitHub: github.com/databasus/databasus
- PostgreSQL Software Catalogue: postgresql.org/download/products
- PostgreSQL Wiki: wiki.postgresql.org/wiki/Ecosystem:Backup
- Awesome Postgres: github.com/dhamaniasad/awesome-postgres
- Awesome Database Tools: github.com/mgramin/awesome-db-tools
Metrics and catalogue listings verified as of January 7, 2026.
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- Awesome Postgres: github.com/dhamaniasad/awesome-postgres
- Awesome Database Tools: github.com/mgramin/awesome-db-tools
Metrics and catalogue listings verified as of January 7, 2026.
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