AZIN vs Northflank: Two BYOC Platforms, Different Approaches

All comparisons
Azin
vs
northflank
Head to Head·10 min read

AZIN vs Northflank: Two BYOC Platforms, Different Approaches

comparisonnorthflankbyocinfrastructure

Northflank and AZIN both deploy to your cloud account. Both abstract Kubernetes. Both offer managed alternatives for teams that don't want to configure cloud infrastructure on day one. The difference is scope vs. focus. Northflank covers six cloud providers, GPU workloads, and full CI/CD pipelines. AZIN focuses on GCP with GKE Autopilot, where the first cluster is free and you pay only for the pods you run. This comparison covers architecture, pricing, BYOC models, and when each platform makes more sense.

Data last verified: March 2026.

#Quick comparison

FeatureAZINNorthflank
BYOC supportGCP (AWS, Azure on roadmap)AWS, GCP, Azure, Oracle, Civo, CoreWeave
Own managed cloudlttle.cloud (scale-to-zero, early access)Northflank managed infrastructure
BYOC on free tierYes (GCP)Yes (1 cluster, any provider)
Underlying infraGKE Autopilot — first cluster freeKubernetes (EKS, GKE, AKS, OKE)
Billing modelPlatform fee + GCP direct billingPer-second compute + storage + networking
Compute pricingGCP rates (no markup)$0.01667/vCPU-hr, $0.00833/GB-hr
GPU supportVia GCP GPU instancesL4 $0.80/hr through B200 $5.87/hr
CI/CDGit-push deploys, preview environmentsFull build/deploy pipelines, preview envs, GitOps
Scale-to-zeroYes (lttle.cloud, early access)No
Managed databasesCloud SQL (Postgres), Memorystore (Redis)Postgres, MySQL, MongoDB, Redis (managed)
RegionsAll GCP regions (40+)6+ managed, 600+ BYOC regions
Build systemRailpack (auto-detect, 13+ languages)Buildpacks, Dockerfile, build pipelines
EnterpriseOrg management, roles, BYOCCustom pricing, on-prem, bare-metal, white-label

#Architecture: focused vs. broad

AZIN and Northflank made opposite bets on how to build a BYOC platform.

Northflank provisions Kubernetes clusters across six cloud providers. Connect your AWS, GCP, Azure, Oracle, Civo, or CoreWeave account, and Northflank spins up a managed K8s cluster in your VPC. The control plane runs on Northflank's side — it handles orchestration metadata but never touches your workload data or secrets. This architecture supports on-premises and bare-metal deployments on Enterprise plans, plus forward-deployed control planes for air-gapped environments.

AZIN targets a single cloud provider — GCP — and uses GKE Autopilot exclusively. Google manages the entire cluster lifecycle: node provisioning, scaling, security patches, K8s version upgrades. Your first cluster is free. You pay only for the CPU and memory your pods consume, billed directly by Google at standard GCP rates. AWS and Azure BYOC are on the roadmap.

The trade-off is straightforward. Northflank gives you cloud portability across six providers. AZIN gives you the lowest possible cost floor on GCP — no cluster overhead, no node sizing, no K8s upgrade cycles to manage. If your infrastructure is on GCP or headed there, that focus translates to lower bills and less operational surface area. If you need AWS or Azure BYOC today, Northflank has it and AZIN does not.

#Developer experience

Northflank built a platform that covers the full deployment lifecycle: CI/CD pipelines with build stages, preview environments, GitOps, managed databases (Postgres, MySQL, MongoDB, Redis), cron jobs, and GPU workloads. The UI reflects this breadth — more controls, more configuration surfaces, more concepts to learn. Northflank's documentation is thorough, and their API and CLI cover nearly everything the dashboard does.

AZIN prioritizes a narrower, faster workflow. Connect your GCP account, push your code, and Railpack auto-detects your language and framework across 13+ languages. The Console includes a visual service graph, AI chat for deployment questions, and a changeset system that groups infrastructure changes into reviewable units before they go live. The UX is closer to Railway than to a full-featured infrastructure platform.

This is a genuine trade-off. Teams running complex multi-service architectures with custom build pipelines and GPU workloads will find more of what they need in Northflank. Teams that want a fast path from code to GCP production — without learning a pipeline DSL — will prefer AZIN's opinionated workflow.

#Pricing compared

Both platforms bill differently, which makes direct comparison harder than it should be.

Northflank pricing

Northflank charges for compute, storage, and networking on its own infrastructure. BYOC deployments add your cloud provider bill on top.

ResourceCost
Compute$0.01667/vCPU-hr ($12/vCPU-mo), $0.00833/GB-hr ($6/GB-mo)
Network egress$0.06/GB
SSD storage$0.15/GB/mo
Logs/metrics$0.20/GB (10 GB/mo free)
Builds/backups$0.08/GB/mo

The free Developer Sandbox gives you 2 services, 1 database, 2 cron jobs, and 1 BYOC cluster — enough to test, not to run production. A credit card is required at signup even for the free tier.

Predefined compute plans range from $2.70/mo (0.1 vCPU, 256 MB) to $480/mo (20 vCPU, 40 GB). The most common plan is nf-compute-100-2 at $24/mo for 1 vCPU and 2 GB RAM.

AZIN pricing

AZIN charges a platform fee for deployment management. Infrastructure costs go directly to GCP at standard rates — no markup. On GKE Autopilot, the first cluster is free and you pay only for pod resources. On lttle.cloud (in early access), services scale to zero when idle.

A typical startup workload

For a web app with 2 vCPU, 4 GB RAM, managed Postgres, running 24/7:

PlatformEstimated monthly
Northflank (managed, pay-as-you-go)~$80-120/mo (compute + DB + networking)
Northflank (BYOC to AWS)Northflank fees + AWS EKS + EC2 costs
AZIN (BYOC to GCP)Platform fee + ~$40-60 GCP (pod-level billing, first cluster free)
AZIN (lttle.cloud)Platform fee + usage (early access, scale-to-zero)

Northflank's managed cloud is reasonably priced for what you get — per-second billing keeps costs fair for variable workloads. The cost difference appears in the BYOC model: AZIN's GKE Autopilot approach avoids the fixed Kubernetes cluster overhead that other BYOC platforms carry.

Read more about how BYOC pricing works across platforms.

#BYOC compared

This is where the two platforms diverge most.

Northflank has the broadest BYOC support of any PaaS. Six cloud providers. BYOC available on every plan, including the free sandbox (limited to 1 cluster). Enterprise customers get on-premises, bare-metal, and air-gapped deployments. Northflank's control plane manages orchestration while your workloads stay in your VPC — the platform never accesses your data or secrets.

AZIN supports GCP BYOC only, deployed via GKE Autopilot. AWS BYOC is in development. Azure BYOC is planned. The constraint is deliberate — GKE Autopilot eliminates cluster management overhead entirely, with the first cluster free. You get the pod-level billing that other BYOC platforms can't match because they provision full Kubernetes clusters with node pools you have to size and pay for.

Northflank's multi-cloud reach makes it the obvious choice for organizations deploying across providers or requiring Oracle/CoreWeave support. AZIN's GCP-only approach means lower costs and zero cluster maintenance for teams already committed to Google Cloud. Both let you connect your cloud account on day one — neither gates BYOC behind an Enterprise tier.

Blog

Best BYOC cloud platforms in 2026

Full comparison of every bring-your-own-cloud option on the market.

#When to choose Northflank

Northflank is the right pick when you need breadth across cloud providers and workload types.

  • Multi-cloud deployments — AWS, GCP, Azure, Oracle, Civo, CoreWeave from a single platform. No other PaaS covers this many BYOC targets.
  • GPU and AI workloads — L4 through B200 GPUs with per-hour pricing. Northflank has invested heavily here since August 2025.
  • Full CI/CD pipelines — if your team needs build stages, pipeline orchestration, and GitOps beyond simple git-push deploys, Northflank's pipeline system is mature.
  • Enterprise and on-premises — forward-deployed control planes, air-gapped environments, bare-metal BYOC. These are Enterprise-tier features, but they exist.
  • Per-second billing — fair for workloads with variable resource consumption. No paying for idle compute.

Pros

  • +BYOC across 6 cloud providers — broadest support of any PaaS
  • +BYOC on free tier (1 cluster, any provider)
  • +Full CI/CD build pipelines and GitOps
  • +GPU support from L4 ($0.80/hr) to B200 ($5.87/hr)
  • +Per-second billing, predefined plans from $2.70/mo
  • +50,000+ developers, used by Sentry and Writer
  • +On-premises and bare-metal BYOC (Enterprise)

Cons

  • -More complex UX — steeper learning curve than Railway-style platforms
  • -Credit card required even for free tier
  • -No scale-to-zero
  • -On-premises/bare-metal is Enterprise-only
  • -GPU requires pre-purchased credits

#When to choose AZIN

AZIN is the right pick when you want the simplest path to BYOC on GCP with the lowest cost floor.

  • GCP-first infrastructure — GKE Autopilot with Cloud SQL, Memorystore, and GCS. All managed by Google, billed directly to your account. No intermediary markup.
  • Cost-sensitive BYOC — no fixed cluster overhead. First GKE Autopilot cluster is free. You pay per pod, not per node. For early-stage startups, this difference can mean hundreds of dollars per month.
  • Fast onboarding — Railpack auto-detects your stack. The Console's visual service graph and changeset system get you from repo to production faster than configuring pipeline stages.
  • Scale-to-zero with lttle.cloud — microVMs targeting sub-10ms cold starts (in early access). Validate an idea without paying for idle compute.
  • EU data residency — AZIN is EU-native (Netherlands, Romania). Deploy to any GCP EU region. GDPR compliance is architectural.

Pros

  • +GKE Autopilot BYOC — first cluster free, pod-level billing
  • +No node sizing, no K8s upgrade cycles, no cluster management
  • +Railpack auto-detection (13+ languages)
  • +Console with visual service graph, AI chat, changeset system
  • +Scale-to-zero on lttle.cloud (early access)
  • +EU-native — GDPR compliance from the architecture up
  • +Infrastructure billed directly by GCP at standard rates

Cons

  • -GCP BYOC only — AWS in development, Azure planned
  • -No GPU-specific tooling (uses GCP GPU instances directly)
  • -No built-in CI/CD pipelines (git-push deploys, not pipeline orchestration)
  • -lttle.cloud managed cloud in early access

GKE Autopilot BYOC — first cluster free

Deploy to your GCP account. Pay per pod, not per cluster. Connect your account and push your code.

#Frequently asked questions

This comparison is based on publicly available documentation, pricing pages, and changelogs for both platforms, verified as of March 2026. Northflank is a trademark of Northflank Ltd. All product names and trademarks are the property of their respective owners. AZIN is not affiliated with or endorsed by the companies mentioned on this page. If any information is inaccurate, contact legal@azin.run and we will update it promptly.

Deploy on private infrastructure

Managed AI environments with built-in isolation. Zero DevOps required.