Head-to-head · Auto Scaling Software
Scaleway Instance Groups vs DigitalOcean Kubernetes
Scaleway Instance Groups leads on 0 checks, DigitalOcean Kubernetes on 0, and 1 is even. Who comes out ahead on the 1 yes/no, price and count check where we have data for both products. The editor score weighs everything else too.
Our verdict
Scaleway Instance Groups and DigitalOcean Kubernetes score identically on our rubric (7.9 out of 10) for auto scaling software; Scaleway Instance Groups sits at #2 and DigitalOcean Kubernetes at #5 in our editorial ranking, so the choice comes down to fit.
Scaleway Instance Groups is the better fit for scaleway users scaling virtual machine groups. DigitalOcean Kubernetes is the better fit for small teams scaling DigitalOcean Kubernetes nodes.
- Scaleway Instance Groups fits best
Scaleway users scaling virtual machine groups
- DigitalOcean Kubernetes fits best
Small teams scaling DigitalOcean Kubernetes nodes
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Side by side
| Feature | Scaleway Instance Groups 7.9/10 Visit ↗ | DigitalOcean Kubernetes 7.9/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 7.9 | 7.9 |
| Ranking | #2 in Auto Scaling Software | #5 in Auto Scaling Software |
| Best for | Scaleway users scaling virtual machine groups | Small teams scaling DigitalOcean Kubernetes nodes |
| Pricing model | Paid | Paid |
| Starting price | Not checked yet | $12/unit/mo |
| Free plan | Not checked yet | — |
| Free trial | — | — |
| Deployment | Cloud | Cloud |
| Platforms | Web | Web |
| Support | Tickets, Community, Docs | Email, Live chat, Tickets, Community, Docs |
| Integrations | 2 integrations | 8 integrations |
| Built for | Small business, Mid-market, Enterprise | Small business, Mid-market |
| Specs | ||
| Scaling targets | Instances | Not checked yet |
| Scaling triggers | Metrics | Not checked yet |
| Cloud support | Single-cloud | Not checked yet |
| Scale direction | Both | Not checked yet |
| Deployment | Cloud | Not checked yet |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | Scaleway Instance Groups organize identical cloud Instances from a reusable template and can adjust group size in autoscaling mode. They suit teams already running virtual machines on Scaleway that want capacity to respond to CPU or RAM… Read the review → |
DigitalOcean Kubernetes (DOKS) is a managed Kubernetes service for developers, startups, and small-to-medium-sized businesses. DigitalOcean manages the control plane and container infrastructure, while customers retain Kubernetes API and… Read the review → |
Strengths and trade-offs
Scaleway Instance Groups — where it wins
- Scales group size both ways using CPU and RAM targets.
- Sets minimum and maximum counts, event sizes, and cooldowns.
- Can update a Load Balancer and replace unhealthy Instances.
Where it doesn't
- Works with Scaleway-hosted Instances, not containers or clusters.
- Autoscaling offers CPU and RAM usage targets as triggers.
- Instance Groups are currently in public beta.
DigitalOcean Kubernetes — where it wins
- Node-pool autoscaling includes support for scaling to zero.
- Managed control plane with Kubernetes API and CLI access.
- Connects worker nodes to DigitalOcean load balancers, volumes, and registry.
Where it doesn't
- Worker nodes are billed separately from the managed control plane.
- Autoscaling detail is narrower than that of dedicated scaling tools.
- No free plan; listed Basic worker nodes start at $12 per node per month.
- Scaleway Instance Groups7.9/10 · Paid
A focused autoscaler for Scaleway VM groups, with CPU and RAM targets and load-balancer updates.
Visit ScalewayFull verdict → - DigitalOcean Kubernetes7.9/10 · Paid
A managed Kubernetes service with node-pool autoscaling, billed by worker node.
Visit DigitalOceanFull verdict →
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- Scaleway Instance Groups vs Amazon Elastic Kubernetes Service
- Scaleway Instance Groups vs Scaleway Serverless Containers
- Scaleway Instance Groups vs Kubernetes
- Scaleway Instance Groups vs Heroku
- Amazon Elastic Container Service vs DigitalOcean Kubernetes
All auto scaling software comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update






