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Cloud · head to head

Northflank vs OpenTelemetry

Northflank logo

Northflank

Cloud

The runtime platform for AI-native companies

From
Free
Rated
-
Full reviewWebsite
OpenTelemetry logo

OpenTelemetry

Cloud

Vendor-neutral standard for traces, metrics and logs

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Northflank pricing complexity with multiple rate dimensions; OpenTelemetry genuinely complex to adopt: collectors, pipelines, samplers and exporters are a system to run in their own right
  • They diverge on capability: Northflank covers Application deployments, OpenTelemetry covers Vendor-neutral SDKs.

Where they differ

Only the attributes on which Northflank and OpenTelemetry actually diverge.

Attributes where Northflank and OpenTelemetry differ
AttributeNorthflankOpenTelemetry
Pricing modelUnknownOpen source, no licence fee
PlatformsAWS, GCP, Azure, On-premisesLinux, macOS, Windows, Kubernetes, Docker

Identical on both: starting price (Free), free tier (Yes), 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 Northflank

  • Application deployments
  • GPU support
  • Preview environments
  • Database management
  • Multi-cloud support
  • GitOps integration

Only in OpenTelemetry

  • Vendor-neutral SDKs
  • Collector
  • Three signals
  • Auto-instrumentation

What people use each for

The jobs each tool is most often brought in to do.

Northflank

  • Deploying AI inference models with GPU accelerationnot OpenTelemetry
  • Running training workloads on distributed GPUsnot OpenTelemetry
  • Building microservices with multi-cloud reliabilitynot OpenTelemetry

OpenTelemetry

  • Instrumenting once and keeping the option to change observability vendor laternot Northflank
  • Standardising telemetry across services written in different languagesnot Northflank
  • Routing and filtering telemetry centrally to control observability spendnot Northflank

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Northflank

  • Pricing complexity with multiple rate dimensions
  • GPU costs can be expensive for large-scale deployments
  • Learning curve for Kubernetes concepts

OpenTelemetry

  • Genuinely complex to adopt: collectors, pipelines, samplers and exporters are a system to run in their own right
  • Language SDKs mature at different rates, so a polyglot estate gets uneven support
  • It produces and moves telemetry but does not store or visualise it, so a backend is still required and still billed

Pricing, plan by plan

Northflank

Free
  • Sandbox (Free)Free
    • Always-on compute with no sleeping
    • 2 free services
    • 1 free database
  • Pay-as-you-go$undefined/usage
    • CPU: $0.01667 per vCPU per hour
    • Memory: $0.00833 per GB per hour
    • Network egress: $0.06 per GB
  • Enterprise$undefined/custom
    • Custom pricing with volume discounts
    • Invoice-based billing
    • Annual commitments

OpenTelemetry

Free
  • OpenTelemetryFree
    • Full functionality
    • No usage limits
    • Community support

Which should you pick?

Choose Northflank if

  • You need application deployments.
  • You want to start without paying.
  • You work on AWS, GCP, Azure, On-premises.
  • You also want gpu support.
Northflank review

Choose OpenTelemetry if

  • You need vendor-neutral sdks.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, Kubernetes, Docker.
  • You also want collector.
OpenTelemetry review

Questions people ask

Is Northflank or OpenTelemetry better?
Neither clearly leads. Northflank starts at Free and OpenTelemetry at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Northflank or OpenTelemetry?
Northflank starts at Free and OpenTelemetry at Free.
Does Northflank or OpenTelemetry run on more platforms?
Northflank runs on AWS, GCP, Azure, On-premises. OpenTelemetry runs on Linux, macOS, Windows, Kubernetes, Docker.
Can I use Northflank for free?
Both have a free tier, so you can try either at no cost before committing.
What is Northflank best used for?
Northflank is most often used for deploying ai inference models with gpu acceleration, running training workloads on distributed gpus, building microservices with multi-cloud reliability. Of those, deploying ai inference models with gpu acceleration and running training workloads on distributed gpus are not what OpenTelemetry is typically brought in for.
What can Northflank do that OpenTelemetry cannot?
Northflank covers Application deployments, GPU support, Preview environments, Database management. OpenTelemetry covers Vendor-neutral SDKs, Collector, Three signals, Auto-instrumentation.

Answered from the vendors’ own pages

Northflank: What is included in the free Sandbox tier?

The Sandbox includes always-on compute, 2 free services, 1 free database, 2 free cron jobs, and is perfect for testing applications.

Source
OpenTelemetry: Is OpenTelemetry free?

Yes, open source under the CNCF. What you pay for is the backend you export to.

Northflank: How much does CPU cost on Northflank?

CPU costs $0.01667 per vCPU per hour on pay-as-you-go pricing.

Source
OpenTelemetry: Does OpenTelemetry replace Datadog or Grafana?

No. It replaces their proprietary agents and instrumentation libraries. You still need a backend to store and query the data.

Northflank: What GPUs are available?

GPU options include NVIDIA L4 at $0.80/hr through H100 at $2.74/hr.

Source
OpenTelemetry: Why adopt a vendor-neutral standard?

Because instrumentation is the expensive part. Once code emits OTel, changing observability vendor is a collector config change instead of re-instrumenting every service.

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