Technology · head to head
PyCharm vs Apache Spark
A
Apache Spark
Technology
A multi-language engine for data engineering, data science, and machine learning
- From
- Free
- Rated
- -
The short version
- Each has a real cost: 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; Apache Spark licensed under Apache License 2.0 per spark.apache.org; as open source software it has no paid tier or vendor price to compare
Where they differ
Only the attributes on which PyCharm and Apache Spark actually diverge.
| Attribute | PyCharm | Apache Spark |
|---|---|---|
| Pricing model | subscription | open-source |
| Platforms | Windows, Macos, Linux | Web |
| Founded | 2010 | Unknown |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Technology).
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 PyCharm
- Intelligent code editor
- Smart code navigation
- Fast and safe refactorings
- Debugging and testing
- VCS integration
- Scientific development tools
- Web development support
- Database tools
Only in Apache Spark
Nothing recorded that PyCharm does not also cover.
What people use each for
The jobs each tool is most often brought in to do.
PyCharm
- Python developmentnot Apache Spark
- Data science projectsnot Apache Spark
- Web developmentnot Apache Spark
- Machine learningnot Apache Spark
- Scientific computingnot Apache Spark
Apache Spark
No use cases recorded yet. See the Apache Spark review.
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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
Apache Spark
- Licensed under Apache License 2.0 per spark.apache.org; as open source software it has no paid tier or vendor price to compare
- Installation on a laptop requires pip install pyspark or a Docker image per spark.apache.org; there is no hosted single-click deployment offered by the Apache project itself
Pricing, plan by plan
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
Apache Spark
FreeNo published plan breakdown. See the Apache Spark review.
Which should you pick?
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 PyCharm or Apache Spark better?
- Neither clearly leads. PyCharm starts at Free and Apache Spark at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, PyCharm or Apache Spark?
- PyCharm starts at Free and Apache Spark at Free.
- Does PyCharm or Apache Spark run on more platforms?
- PyCharm runs on Windows, Macos, Linux. Apache Spark runs on Web.
- Can I use PyCharm for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is PyCharm best used for?
- PyCharm is most often used for python development, data science projects, web development, machine learning. Of those, python development and data science projects are not what Apache Spark is typically brought in for.
- What can PyCharm do that Apache Spark cannot?
- PyCharm covers Intelligent code editor, Smart code navigation, Fast and safe refactorings, Debugging and testing.