Cloud · head to head
Porter vs Thanos

Thanos
Cloud
Highly available Prometheus with long-term object storage
- From
- Free
- Rated
- -
The short version
- Only Thanos has a free tier, so it costs nothing to try first.
- Each has a real cost: Porter pricing based on vCPU and memory can be expensive for small projects; Thanos several components — sidecar, store, querier, compactor, ruler — each with its own configuration and failure modes
- They diverge on capability: Porter covers Rapid deployment, Thanos covers Global query.
Where they differ
Only the attributes on which Porter and Thanos actually diverge.
Identical on both: user rating (Not yet rated), category (Cloud).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Porter
- Rapid deployment
- Multi-cloud support
- Framework agnostic
- DevOps automation
- Enterprise compliance
- Cost optimization
Only in Thanos
- Global query
- Object storage retention
- Deduplication
- Downsampling
What people use each for
The jobs each tool is most often brought in to do.
Porter
- Deploying Next.js applications with serverless backendsnot Thanos
- Scaling microservices across multiple cloud providersnot Thanos
- Running applications without dedicated DevOps staffnot Thanos
Thanos
- Querying metrics across many clusters or regions from one placenot Porter
- Retaining metrics for years without local disk growthnot Porter
- Removing the gap that appears when a single Prometheus instance restartsnot Porter
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Porter
- Pricing based on vCPU and memory can be expensive for small projects
- Vendor lock-in to Porter platform despite multi-cloud support
- Limited customization for complex infrastructure requirements
Thanos
- Several components — sidecar, store, querier, compactor, ruler — each with its own configuration and failure modes
- The compactor is a common source of operational trouble and must not run twice against the same bucket
- Query latency over object storage is meaningfully higher than local Prometheus
- Object storage costs and API request charges become real at high volume
Pricing, plan by plan
Porter
$6/month- Standard$undefined/usage
- RAM: $6 per month per GB
- vCPU: $13 per month per vCPU
- Unlimited applications
- Enterprise$undefined/custom
- Volume discounts available
- All Standard features
- Premium support
Thanos
Free- ThanosFree
- Full functionality
- No usage limits
- Community support
Which should you pick?
Choose Porter if
- You need rapid deployment.
- You work on AWS, GCP, Azure.
- You also want multi-cloud support.
Choose Thanos if
- You need global query.
- You want to start without paying.
- You work on Kubernetes, Linux, Docker.
- You also want object storage retention.
Questions people ask
- Is Porter or Thanos better?
- Neither clearly leads. Porter starts at $6/month and Thanos at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Porter or Thanos?
- Thanos has a free tier; the other does not. Paid plans start at $6/month for Porter and Free for Thanos.
- Does Porter or Thanos run on more platforms?
- Porter runs on AWS, GCP, Azure. Thanos runs on Kubernetes, Linux, Docker.
- Can I use Thanos for free?
- Yes. Thanos has a free tier, so you can try it without paying. Porter starts at $6/month.
- What is Porter best used for?
- Porter is most often used for deploying next.js applications with serverless backends, scaling microservices across multiple cloud providers, running applications without dedicated devops staff. Of those, deploying next.js applications with serverless backends and scaling microservices across multiple cloud providers are not what Thanos is typically brought in for.
- What can Porter do that Thanos cannot?
- Porter covers Rapid deployment, Multi-cloud support, Framework agnostic, DevOps automation. Thanos covers Global query, Object storage retention, Deduplication, Downsampling.
Answered from the vendors’ own pages
Porter: How is Porter priced?
Porter uses pay-as-you-go pricing: $6 per month per GB of RAM and $13 per month per vCPU. You only pay for the resources your applications use, not cloud instance capacity.
SourceThanos: Is Thanos free?
Yes, open source and CNCF-incubating. Costs are the object storage it uses.
Porter: Does Porter include cloud provider costs?
Porter pricing excludes underlying cloud provider costs (AWS, Azure, GCP), though cloud credits can offset those expenses.
SourceThanos: Does Thanos replace Prometheus?
No. It runs alongside existing Prometheus servers, adding global query, deduplication and long-term storage.
Porter: Do startups get special pricing?
Yes, nonprofits receive 50% off standard rates, and startups may qualify for special pricing programs.
SourceThanos: Thanos or VictoriaMetrics?
Thanos layers onto Prometheus using object storage and is the more established multi-cluster answer. VictoriaMetrics is a separate store aiming at lower resource use and fewer moving parts.
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- Thanos vs Neon
- Thanos vs DigitalOcean
- Thanos vs AWS (Amazon Web Services)
- Thanos vs Pulumi
- Thanos vs Fly.io
- Thanos vs Anyscale
- Thanos vs Fireworks AI
- Thanos vs Podman
- Thanos vs Railway
- Thanos vs Render
- Thanos vs Vault
- Thanos vs Wiz
- Thanos vs Beam Cloud
- Thanos vs Cerebrium
- Thanos vs DeepInfra
- Thanos vs Go
- Thanos vs Azure Functions

