Plakar
by Plakar · Open-source, self-hosted backup and restore across your whole estate
BenchRank score
Screenshots of Plakar
Homepage
Overview
Plakar is an open-source backup engine that deduplicates, compresses and encrypts data at source before writing snapshots to storage you control — any S3-compatible backend, local disk or filesystem. One binary covers databases, VMs, Kubernetes, Docker and S3 sources. The self-hosted Control Plane adds estate-wide visibility, with backup policies defined by hand or as code.
- Best for
- Security and infrastructure teams self-hosting encrypted, deduplicated backups across a mixed estate
- Pricing
- No prices are shown: the backup engine is described as free and open source, the Control Plane has a free plan, and anything beyond that is behind 'Book a demo'.
- Runs on
- macOSLinuxSelf-hosted
Strengths and trade-offs
Strengths
- Deduplicates and encrypts before data leaves your system
- Snapshots have no chain dependencies; any one can be deleted
- Storage-agnostic: any S3-compatible backend, local disk or FS
- Policies as code via Kubernetes CRDs, Terraform or Ansible
Trade-offs
- Self-hosted only: you run and pay for the infrastructure and storage
- Control Plane paid plans are not priced publicly; demo required
- Object-lock immutability only on S3-compatible backends
- Social proof is forum and X quotes, not named customer references
How Plakar markets itself
A structured read of the promise, proof and page design on Plakar’s captured homepage.
Homepage capture
“Back up and recover your databases from a single control plane.”
- Angle: All-in-one / consolidation
- Hero: Animated walkthrough
Pricing
Published plans and prices from Plakar’s own pricing page.
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
MCP support
Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.
API quality
Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.
Documentation
Publicly reachable docs — coverage, freshness, code samples and machine readability.
Agent friendliness
How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.
Changelog
A public, dated record of what shipped and when — the clearest signal that a product is still alive.
Marketing site structure
Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.
Page speed
How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.
Operational trust
Status page and incident history, security disclosure, compliance and data-processing documentation.
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
Openness
Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.
Maintenance
Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.
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Where this comes from
The Plakar pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.
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Is this your product?
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