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Machine Learning · head to head

DataRobot vs Rootly

DataRobot logo

DataRobot

Machine Learning

Enterprise AI platform for automated machine learning

From
On request
Rated
-
Full reviewWebsite
Rootly logo

Rootly

Logging

AI-native incident management with automation, on-call, and root cause analysis

From
$20/user-month
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: DataRobot model transparency is limited, often resembling a black box with limited explainability; Rootly pricing higher than some competitors for basic features
  • They diverge on capability: DataRobot covers Automated ML, Rootly covers AI SRE automation.

Where they differ

Only the attributes on which DataRobot and Rootly actually diverge.

Attributes where DataRobot and Rootly differ
AttributeDataRobotRootly
Starting priceOn request$20/user-month
PlatformsWebWeb, Mobile, Slack, Microsoft Teams
CategoryMachine LearningLogging
Founded20122020

Identical on both: 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 Rootly

  • AI SRE automation
  • Alert routing
  • On-call management
  • Incident response
  • Call routing
  • AI meeting bot
  • Status pages

What people use each for

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

DataRobot

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

Rootly

  • Automate on-call and incident response workflowsnot DataRobot
  • Run root cause analysis with AI assistancenot DataRobot
  • Track and improve Mean Time to Mitigation (MTTR)not DataRobot
  • Coordinate response across distributed teamsnot DataRobot
  • Learn from post-incident retrospectivesnot 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

Rootly

  • Pricing higher than some competitors for basic features
  • AI SRE features require separate contact-sales engagement
  • Learning curve for advanced automation features
  • Per-user pricing increases costs as team grows

Pricing, plan by plan

DataRobot

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

Rootly

$20/user-month
  • Incident Response Essentials$20/user-month
    • Response with Slack integration
    • @Rootly AI Chat
    • AI Similar Incidents detection
  • Incident Response Enterprise$undefined/custom
    • All Essentials features
    • Custom forms and incident types
    • Private incidents
  • On-Call Essentials$20/user-month
    • Alert grouping and routing
    • Live call routing (1 phone number)
    • Schedules and escalation policies
  • On-Call Enterprise$undefined/custom
    • All Essentials features
    • 5 phone numbers for call routing
    • Unlimited schedules

Which should you pick?

Choose DataRobot if

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

Choose Rootly if

  • You need ai sre automation.
  • You work on Web, Mobile, Slack, Microsoft Teams.
  • You also want alert routing.
Rootly review

Questions people ask

Is DataRobot or Rootly better?
Neither clearly leads. DataRobot starts at On request and Rootly at $20/user-month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DataRobot or Rootly?
DataRobot starts at On request and Rootly at $20/user-month.
Does DataRobot or Rootly run on more platforms?
DataRobot runs on Web. Rootly runs on Web, Mobile, Slack, Microsoft Teams.
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 Rootly is typically brought in for.
What can DataRobot do that Rootly cannot?
DataRobot covers Automated ML, Model deployment, Time series, MLOps. Rootly covers AI SRE automation, Alert routing, On-call management, Incident response.

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
Rootly: How much does Rootly cost?

Rootly charges $20/user/month for both Incident Response and On-Call Essentials plans. Enterprise plans require contacting sales. Startups under 100 employees with less than $50M raised get up to 50% discount.

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
Rootly: What is Rootly AI SRE?

AI SRE is an advanced feature that provides automated root cause analysis, alert correlation with system changes, impact analysis, and remediation suggestions. Pricing requires contact with sales.

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
Rootly: Does Rootly integrate with Slack?

Yes, Rootly natively integrates with Slack for incident response workflows, allowing teams to manage incidents directly in Slack.

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
Rootly: Are there discounts for small companies?

Yes, startups under 100 employees or less than 25 employees can get special pricing up to 50% discount. Contact Rootly sales for details.

Source
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