Software · head to head
DigitalOcean vs PyCharm
The short version
- Each has a real cost: DigitalOcean data transfer overage charged at $0.01 per GiB beyond included allowances; PyCharm pyCharm Pro commercial licence is USD 299/year (USD 29.90/month); personal licence is USD 109/year dropping to USD 68.25 by year three with loyalty discounts, per jetbrains.com/store inline pricing JSON checked 19 Aug 2026
- They diverge on capability: DigitalOcean covers Droplets (VPS), PyCharm covers Intelligent code editor.
Where they differ
Only the attributes on which DigitalOcean and PyCharm actually diverge.
| Attribute | DigitalOcean | PyCharm |
|---|---|---|
| Pricing model | usage-based | subscription |
| Platforms | Linux, Cloud (AWS, GCP, Azure backend) | Windows, Macos, Linux |
| Founded | 2011 | 2010 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Unknown).
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 DigitalOcean
- Droplets (VPS)
- Managed Kubernetes
- App Platform
- Managed Databases
- Spaces (Object Storage)
- Floating IPs
- Load Balancers
- Firewalls
Only in PyCharm
- Intelligent code editor
- Smart code navigation
- Fast and safe refactorings
- Debugging and testing
- VCS integration
- Scientific development tools
- Web development support
- Database tools
Both cover
- Docker
- Git
- GitHub
- GitLab
What people use each for
The jobs each tool is most often brought in to do.
DigitalOcean
- Developers seeking affordable VPS starting at $4/month for small applicationsnot PyCharm
- Teams deploying containerised workloads with Kubernetes starting at $12/month cluster costnot PyCharm
- Data scientists and ML engineers requiring NVIDIA GPU access at $1.91/GPU/hour (committed)not PyCharm
PyCharm
- Python developmentnot DigitalOcean
- Data science projectsnot DigitalOcean
- Web developmentnot DigitalOcean
- Machine learningnot DigitalOcean
- Scientific computingnot DigitalOcean
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
DigitalOcean
- Data transfer overage charged at $0.01 per GiB beyond included allowances
- Free tier includes only 3 static sites; additional static sites require paid upgrade
- Container registry free tier capped at 500 MiB storage; exceeding requires paid tier
- Functions free tier allows 90,000 GiB-seconds monthly; overages billed on usage basis
- GPU Droplets require minimum monthly commitment for lower hourly rates; on-demand significantly more expensive
PyCharm
- PyCharm Pro commercial licence is USD 299/year (USD 29.90/month); personal licence is USD 109/year dropping to USD 68.25 by year three with loyalty discounts, per jetbrains.com/store inline pricing JSON checked 19 Aug 2026
Pricing, plan by plan
DigitalOcean
FreeNo published plan breakdown. See the DigitalOcean review.
PyCharm
Free- CommunityFree
- Intelligent Python editor
- Graphical debugger and test runner
- Navigation and refactoring
- Professional$24.9/month
- Everything in Community
- Web development frameworks
- Database tools
Which should you pick?
Choose DigitalOcean if
- You need droplets (vps).
- You want to start without paying.
- You work on Linux, Cloud (AWS, GCP, Azure backend).
- You also want managed kubernetes.
Choose PyCharm if
- You need intelligent code editor.
- You want to start without paying.
- You work on Windows, Macos, Linux.
- You also want smart code navigation.
Questions people ask
- Is DigitalOcean or PyCharm better?
- Neither clearly leads. DigitalOcean starts at Free and PyCharm at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, DigitalOcean or PyCharm?
- DigitalOcean starts at Free and PyCharm at Free.
- Does DigitalOcean or PyCharm run on more platforms?
- DigitalOcean runs on Linux, Cloud (AWS, GCP, Azure backend). PyCharm runs on Windows, Macos, Linux.
- Can I use DigitalOcean for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is DigitalOcean best used for?
- DigitalOcean is most often used for developers seeking affordable vps starting at $4/month for small applications, teams deploying containerised workloads with kubernetes starting at $12/month cluster cost, data scientists and ml engineers requiring nvidia gpu access at $1.91/gpu/hour (committed). Of those, developers seeking affordable vps starting at $4/month for small applications and teams deploying containerised workloads with kubernetes starting at $12/month cluster cost are not what PyCharm is typically brought in for.
- What can DigitalOcean do that PyCharm cannot?
- DigitalOcean covers Droplets (VPS), Managed Kubernetes, App Platform, Managed Databases. PyCharm covers Intelligent code editor, Smart code navigation, Fast and safe refactorings, Debugging and testing. Both handle Docker, Git, GitHub, GitLab.
Related pages
More on DigitalOcean
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