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CAD · head to head

CloudCompare vs Ray

CloudCompare logo

CloudCompare

CAD

Open source point cloud comparison and processing maintained largely by one person in their spare time

From
Free
Rated
-
Full reviewWebsite
Ray logo

Ray

Machine Learning

Scale AI and Python applications

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: CloudCompare the project is administered by its creator in his spare time while he holds a full-time job elsewhere, so an organisation building a monitoring programme on it depends on one person with no obligation to continue; Ray windows support is beta and multi node Ray clusters are untested on Windows
  • They diverge on capability: CloudCompare covers Cloud to cloud distance, Ray covers Distributed computing.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which CloudCompare and Ray actually diverge.

Attributes where CloudCompare and Ray differ
AttributeCloudCompareRay
Pricing modelOpen source, no licence feefreemium
PlatformsWindows, macOS, LinuxLinux, Mac, Windows
CategoryCADMachine Learning
FoundedUnknown2019

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

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 CloudCompare

  • Cloud to cloud distance
  • Cloud to mesh distance
  • Registration
  • Segmentation and cleaning
  • Plugin architecture
  • Format support
  • Command line mode

Only in Ray

  • Distributed computing
  • Ray Train
  • Ray Tune
  • RLlib
  • Ray Serve
  • PyTorch
  • TensorFlow
  • Hugging Face

What people use each for

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

CloudCompare

  • A monitoring engineer comparing quarterly laser scans of a retaining wall to quantify movement without buying a proprietary deformation packagenot Ray
  • A heritage team registering dozens of terrestrial scans of a building into a single cloud before meshingnot Ray
  • A geomorphologist measuring erosion between two drone-derived surfaces of a river banknot Ray
  • A survey technician cleaning and subsampling a scan before delivering it to a client whose software cannot handle the full densitynot Ray

Ray

  • Distributed AI model training and servingnot CloudCompare
  • Large-scale data processingnot CloudCompare
  • Reinforcement learning workloadsnot CloudCompare
  • ML inference servingnot CloudCompare

Where each one falls short

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

CloudCompare

  • The project is administered by its creator in his spare time while he holds a full-time job elsewhere, so an organisation building a monitoring programme on it depends on one person with no obligation to continue
  • There is no commercial support contract from anyone, so a defect that blocks a deliverable is resolved by a GitHub issue and community goodwill rather than by an agreement
  • Processing is single machine and memory bound, so very large aerial lidar collections must be tiled manually and large jobs are limited by the workstation rather than scaled out
  • The interface is unforgiving and organised around the underlying data structures rather than around tasks, so competent surveyors routinely take weeks to become productive
  • Plugins vary widely in maintenance, and several useful ones originated in research projects that have since ended, so a workflow built around a specific plugin can break at the next release

Ray

  • Windows support is beta and multi node Ray clusters are untested on Windows
  • Windows lacks copy on write forking, which raises memory requirements, and Ray code assumes UNIX filenames
  • Multi node clusters are untested on Apple Silicon Macs
  • The Java API is experimental and community supported only, and requires matching Java and Python versions
  • Python 3.13 support is beta

Pricing, plan by plan

CloudCompare

Free
  • CloudCompareFree
    • GNU General Public Licence
    • No licence fee and no usage limits
    • No commercial support contract exists

Ray

Free
  • Open SourceFree
    • Full Ray framework
    • All libraries
    • Community support
  • Anyscale PlatformFree
    • Managed infrastructure
    • Enterprise support
    • SLAs

Which should you pick?

Choose CloudCompare if

  • You need cloud to cloud distance.
  • You want to start without paying.
  • You work on Windows, macOS, Linux.
  • You also want cloud to mesh distance.
CloudCompare review

Choose Ray if

  • You need distributed computing.
  • You want to start without paying.
  • You work on Linux, Mac, Windows.
  • You also want ray train.
Ray review

Questions people ask

Is CloudCompare or Ray better?
Neither clearly leads. CloudCompare starts at Free and Ray at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, CloudCompare or Ray?
CloudCompare starts at Free and Ray at Free.
Does CloudCompare or Ray run on more platforms?
CloudCompare runs on Windows, macOS, Linux. Ray runs on Linux, Mac, Windows.
Can I use CloudCompare for free?
Both have a free tier, so you can try either at no cost before committing.
What is CloudCompare best used for?
CloudCompare is most often used for a monitoring engineer comparing quarterly laser scans of a retaining wall to quantify movement without buying a proprietary deformation package, a heritage team registering dozens of terrestrial scans of a building into a single cloud before meshing, a geomorphologist measuring erosion between two drone-derived surfaces of a river bank, a survey technician cleaning and subsampling a scan before delivering it to a client whose software cannot handle the full density. Of those, a monitoring engineer comparing quarterly laser scans of a retaining wall to quantify movement without buying a proprietary deformation package and a heritage team registering dozens of terrestrial scans of a building into a single cloud before meshing are not what Ray is typically brought in for.
What can CloudCompare do that Ray cannot?
CloudCompare covers Cloud to cloud distance, Cloud to mesh distance, Registration, Segmentation and cleaning. Ray covers Distributed computing, Ray Train, Ray Tune, RLlib.

Answered from the vendors’ own pages

CloudCompare: Who maintains CloudCompare?

Daniel Girardeau-Montaut, its creator, administers it in his own time alongside a full-time engineering job, with contributions from a community of users and research groups.

Ray: Is Ray free?

Yes. Ray is free and open source software with over 34,800 GitHub stars and 1,000+ contributors. Users can download and use the Ray framework at no cost.

Source
CloudCompare: Can I buy support?

No. There is no vendor and no commercial support offering. Some geospatial consultancies know it well and can be hired, but they are not contracted to support the software itself.

Ray: Is there a paid option for Ray?

Yes. Anyscale, the managed platform built by Ray's creators, offers paid tiers with enterprise features like governance and advanced tooling. Specific Anyscale pricing details are not listed on the Ray website.

Source
CloudCompare: Is it suitable for commercial deliverables?

It is widely used for them. The licence permits it and the algorithms are well regarded. The risk is operational, not legal: no support and no roadmap commitment.

Ray: Can I try Ray with credits?

Yes. New users can try Ray with $100 credit on Anyscale's managed platform to explore the service.

Source
CloudCompare: Can it handle a full aerial lidar survey?

Not in one piece. It is memory bound on a single machine, so large collections need tiling or a dedicated lidar pipeline such as PDAL.

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