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Machine Learning · head to head

DataRobot vs Devin

DataRobot logo

DataRobot

Machine Learning

Enterprise AI platform for automated machine learning

From
On request
Rated
-
Full reviewWebsite
Devin logo

Devin

Software Development

Autonomous AI software engineer planning and executing code in its own environment

From
On request
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: DataRobot model transparency is limited, often resembling a black box with limited explainability; Devin pricing not published; specific costs and plan tiers require signup or contact with sales

Where they differ

Only the attributes on which DataRobot and Devin actually diverge.

Attributes where DataRobot and Devin differ
AttributeDataRobotDevin
PlatformsWebDesktop, Windsurf integration, Web
CategoryMachine LearningSoftware Development
Founded2012Unknown

Identical on both: starting price (On request), pricing model (subscription), free tier (No), 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 DataRobot

  • Automated ML
  • Model deployment
  • Time series
  • MLOps
  • Model monitoring
  • Snowflake
  • Databricks
  • AWS

Only in Devin

Nothing recorded that DataRobot does not also cover.

What people use each for

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

DataRobot

  • Machine learningnot Devin
  • Data analysisnot Devin
  • Model trainingnot Devin
  • Predictive analyticsnot Devin

Devin

  • Feature implementation and ticket resolution in established codebasesnot DataRobot
  • Code migrations and refactoring at scale across repositoriesnot DataRobot
  • Bug fixing and debugging with test-driven verificationnot DataRobot
  • Rapid prototyping and proof-of-concept developmentnot DataRobot
  • Repetitive implementation tasks freeing human engineers for complex designnot DataRobot

Where each one falls short

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

DataRobot

  • Model transparency is limited, often resembling a black box with limited explainability
  • Requires integration with separate data manipulation tools for complex data transformation
  • Lacks native Python and R code customization for proprietary algorithms
  • Dependence on cloud connectivity means offline capabilities are not available
  • Uploading sensitive data to third-party servers raises data privacy and security concerns

Devin

  • Pricing not published; specific costs and plan tiers require signup or contact with sales
  • Cannot handle extremely difficult tasks reliably; success rate decreases with task complexity
  • Requires clear, well-scoped task descriptions; ambiguous requirements reduce effectiveness
  • Requires human oversight and integration into existing workflows; not fully autonomous

Pricing, plan by plan

DataRobot

On request
  • TrialFree
    • Limited access
    • Basic features
  • EnterpriseFree
    • Full platform
    • AutoML
    • MLOps

Devin

On request

No published plan breakdown. See the Devin review.

Which should you pick?

Choose DataRobot if

  • You need automated ml.
  • You also want model deployment.
DataRobot review

Choose Devin if

  • You work on Desktop, Windsurf integration, Web.
Devin review

Questions people ask

Is DataRobot or Devin better?
Neither clearly leads. DataRobot starts at On request and Devin at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DataRobot or Devin?
DataRobot starts at On request and Devin at On request.
Does DataRobot or Devin run on more platforms?
DataRobot runs on Web. Devin runs on Desktop, Windsurf integration, Web.
What is DataRobot best used for?
DataRobot is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what Devin is typically brought in for.
What can DataRobot do that Devin cannot?
DataRobot covers Automated ML, Model deployment, Time series, MLOps.

Answered from the vendors’ own pages

DataRobot: Does DataRobot require data science expertise?

DataRobot automates much of the ML pipeline including data preparation, feature engineering, and model selection, making it more accessible to non-experts, though it is still an enterprise platform.

Source
Devin: What does Devin cost?

Devin's pricing is not publicly listed on their website. Interested parties must request a demo to discuss pricing and availability.

Source
DataRobot: What does DataRobot cost?

DataRobot uses custom enterprise pricing with typical starting costs around $2,500 per month for smaller organizations. For 10 users, monthly costs range from $15,000 to $20,000. Implementation and professional services are 20-40% of first-year contract value.

Source
Devin: How do I get access to Devin?

Devin is accessed by requesting a demo. There is no information about self-service signup, trial, or pricing on the public website.

Source
DataRobot: Does DataRobot support generative AI?

Yes, DataRobot offers generative AI capabilities with API-first integrations for LLMs, vector databases, and embedding models.

Source
DataRobot: Can DataRobot handle unstructured data?

Yes, DataRobot supports machine learning on both structured and unstructured data, including deep learning, NLP, and image analysis.

Source
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