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Research · head to head

Chemaxon vs Schrodinger

Chemaxon logo

Chemaxon

Research

Cheminformatics toolkits and structure handling, now a Certara subsidiary

From
On request
Rated
-
Full reviewWebsite
Schrodinger logo

Schrodinger

Research

Physics based molecular modelling and drug discovery software, licensed by token pool

From
On request
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Chemaxon the October 2024 Certara acquisition ended two decades of vendor neutrality, and organisations that embedded JChem precisely because Chemaxon competed with nobody now depend on a component owned by a company that sells into their accounts.; Schrodinger licences are sold as token pools rather than unlimited module access, so a department can be blocked mid campaign because colleagues are consuming concurrency, and expanding the pool is a new commercial negotiation rather than a setting.
  • They diverge on capability: Chemaxon covers Marvin, Schrodinger covers Maestro.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Chemaxon and Schrodinger actually diverge.

Attributes where Chemaxon and Schrodinger differ
AttributeChemaxonSchrodinger
PlatformsWeb, Windows, macOS, Linux, On-premise, APILinux, macOS, Windows, Web

Identical on both: starting price (On request), pricing model (quote), free tier (No), user rating (Not yet rated), category (Research).

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 Chemaxon

  • Marvin
  • JChem toolkits
  • Calculator Plugins
  • Compound Registration
  • Instant JChem
  • Design Hub
  • Free academic package
  • Embedded redistribution

Only in Schrodinger

  • Maestro
  • Glide
  • FEP+
  • Desmond
  • Jaguar
  • LiveDesign
  • Materials Science suite

What people use each for

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

Chemaxon

  • A software vendor embedding a structure sketcher and search into its own product rather than writing chemistry codenot Schrodinger
  • A pharmaceutical informatics team building an internal compound registration system on JChem cartridgesnot Schrodinger
  • A computational chemistry group needing consistent pKa and logD prediction across a screening cascadenot Schrodinger
  • A university teaching cheminformatics that can use the free two-year academic package for a classnot Schrodinger

Schrodinger

  • A medicinal chemistry programme using FEP+ to prioritise which analogues to synthesise, where avoiding a handful of wasted syntheses pays for the licencenot Chemaxon
  • A structure based design campaign that needs docking at scale against a target with a good crystal structurenot Chemaxon
  • A materials group modelling polymer or electrolyte properties before committing to formulation experimentsnot Chemaxon
  • A university modelling group that qualifies for the published academic site licence and needs Maestro across a teaching and research cohortnot Chemaxon

Where each one falls short

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

Chemaxon

  • The October 2024 Certara acquisition ended two decades of vendor neutrality, and organisations that embedded JChem precisely because Chemaxon competed with nobody now depend on a component owned by a company that sells into their accounts.
  • Licensing is genuinely complicated, with different terms for named users, servers, desktop applications and embedded redistribution, so working out what you are allowed to deploy usually requires a conversation rather than reading a document.
  • The free academic package is granted for two-year terms and covers education rather than research, so a research group that assumed it was free discovers it needs a paid commercial academic licence.
  • Nothing is priced publicly for commercial use, so a team evaluating Chemaxon against open source alternatives such as RDKit cannot compare total cost without entering a sales process.
  • Open source cheminformatics has closed much of the functional gap for basic structure handling and search, so the commercial case increasingly rests on prediction quality, support and registration workflows rather than on capability that cannot be obtained elsewhere.

Schrodinger

  • Licences are sold as token pools rather than unlimited module access, so a department can be blocked mid campaign because colleagues are consuming concurrency, and expanding the pool is a new commercial negotiation rather than a setting.
  • Commercial pricing is not published and is negotiated against modules, cores and term, so two companies of similar size can pay very different amounts and neither can benchmark the other.
  • FEP+ needs substantial GPU capacity that is not included in the licence, so the real annual cost includes cloud or on premise hardware that often rivals the software line item.
  • The tools require trained computational chemists to produce trustworthy results, and an organisation without that function will generate predictions it cannot interpret or defend to its own medicinal chemists.
  • Schrodinger runs its own internal drug discovery pipeline alongside selling software to discovery companies, and some prospective customers treat that dual role as a conflict when discussing proprietary targets, which slows procurement even where contractual separation exists.

Pricing, plan by plan

Chemaxon

On request
  • Academic package$undefined/year
    • Free of charge for education for a two-year term
    • Covers a class including tutor and students, or an applicant faculty
    • Non-commercial research use only
  • Commercial licence$undefined/year
    • Quoted per named user, per server or per redistributed application
    • Toolkits, desktop applications and embedded redistribution licensed separately
    • Annual support and maintenance included in the subscription

Schrodinger

On request
  • Commercial licence$undefined/year
    • Quoted per customer against modules, cores and licence term
    • Applications draw from a shared token pool that caps concurrency
    • GPU compute for FEP+ and Desmond is a separate cost, on premise or cloud
  • Academic site licence$undefined/year
    • Published academic entry around 7,500 USD a year for a premium package with a token allocation
    • Restricted to academic and research use, not work supporting a commercial enterprise
    • Maestro generally unrestricted with tokens shared for compute heavy applications

Which should you pick?

Choose Chemaxon if

  • You need marvin.
  • You work on Web, Windows, macOS, Linux, On-premise, API.
  • You also want jchem toolkits.
Chemaxon review

Choose Schrodinger if

  • You need maestro.
  • You work on Linux, macOS, Windows, Web.
  • You also want glide.
Schrodinger review

Questions people ask

Is Chemaxon or Schrodinger better?
Neither clearly leads. Chemaxon starts at On request and Schrodinger at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Chemaxon or Schrodinger?
Chemaxon starts at On request and Schrodinger at On request.
Does Chemaxon or Schrodinger run on more platforms?
Chemaxon runs on Web, Windows, macOS, Linux, On-premise, API. Schrodinger runs on Linux, macOS, Windows, Web.
What is Chemaxon best used for?
Chemaxon is most often used for a software vendor embedding a structure sketcher and search into its own product rather than writing chemistry code, a pharmaceutical informatics team building an internal compound registration system on jchem cartridges, a computational chemistry group needing consistent pka and logd prediction across a screening cascade, a university teaching cheminformatics that can use the free two-year academic package for a class. Of those, a software vendor embedding a structure sketcher and search into its own product rather than writing chemistry code and a pharmaceutical informatics team building an internal compound registration system on jchem cartridges are not what Schrodinger is typically brought in for.
What can Chemaxon do that Schrodinger cannot?
Chemaxon covers Marvin, JChem toolkits, Calculator Plugins, Compound Registration. Schrodinger covers Maestro, Glide, FEP+, Desmond.

Answered from the vendors’ own pages

Chemaxon: Is Chemaxon still independent?

No. It has been a subsidiary of Certara since October 2024. The products continue under the Chemaxon name.

Schrodinger: How is Schrodinger software licensed?

Annual licences with a shared token pool. Tokens cap how much you can run at once rather than which modules you own outright.

Chemaxon: Is the academic licence really free?

The education package is free for two-year terms covering a class or faculty. Non-commercial research groups pay a discounted commercial academic licence.

Schrodinger: Is there published pricing?

Only for academic site licences, which start around 7,500 USD a year for a premium package. Commercial pricing is quoted.

Chemaxon: Can I ship Chemaxon inside my own software?

Yes, but embedded redistribution is licensed separately from internal use and must be negotiated.

Schrodinger: Do I need my own GPUs?

For FEP+ and Desmond in practice yes, or cloud GPU capacity. Compute is not included in the licence.

Chemaxon: How does it compare with RDKit?

RDKit is free and covers basic structure handling well. Chemaxon differentiates on property prediction, registration workflows, the sketcher and commercial support.

Schrodinger: Does Schrodinger compete with its customers?

It runs its own drug pipeline as well as selling software. It manages this through contractual separation, but buyers with sensitive targets should raise it during procurement.

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