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Machine Learning · head to head

DataRobot vs New Relic

DataRobot logo

DataRobot

Machine Learning

Enterprise AI platform for automated machine learning

From
On request
Rated
-
Full reviewWebsite
New Relic logo

New Relic

Logging

Observability made simple

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only New Relic has a free tier, so it costs nothing to try first.
  • Each has a real cost: DataRobot model transparency is limited, often resembling a black box with limited explainability; New Relic data ingest costs can be high for large-scale deployments with high logging volume, making budgeting difficult
  • They diverge on capability: DataRobot covers Automated ML, New Relic covers APM.

Where they differ

Only the attributes on which DataRobot and New Relic actually diverge.

Attributes where DataRobot and New Relic differ
AttributeDataRobotNew Relic
Starting priceOn requestFree
Pricing modelsubscriptionUnknown
Free tierNoYes
PlatformsWebWeb, Api, Mobile
CategoryMachine LearningLogging
Founded20122008

Identical on both: 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
  • Web support

Only in New Relic

  • APM
  • Infrastructure Monitoring
  • Log Management
  • Browser Monitoring
  • Synthetic Monitoring
  • Mobile Monitoring
  • Kubernetes Monitoring
  • AI Ops

Both cover

  • AWS
  • Azure
  • GCP

What people use each for

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

DataRobot

  • Machine learningnot New Relic
  • Data analysisnot New Relic
  • Model trainingnot New Relic
  • Predictive analyticsnot New Relic

New Relic

  • Application monitoringnot DataRobot
  • Infrastructure monitoringnot DataRobot
  • Error trackingnot DataRobot
  • Performance optimizationnot 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

New Relic

  • Data ingest costs can be high for large-scale deployments with high logging volume, making budgeting difficult
  • Core user licensing model adds complexity to pricing with distinction between full platform users and basic users
  • Default logs obfuscation may miss some sensitive patterns requiring custom configuration
  • Retention limits even on paid tiers require additional storage for long-term compliance requirements

Pricing, plan by plan

DataRobot

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

New Relic

Free

No published plan breakdown. See the New Relic review.

Which should you pick?

Choose DataRobot if

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

Choose New Relic if

  • You need apm.
  • You want to start without paying.
  • You work on Web, Api, Mobile.
  • You also want infrastructure monitoring.
New Relic review

Questions people ask

Is DataRobot or New Relic better?
Neither clearly leads. DataRobot starts at On request and New Relic at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DataRobot or New Relic?
New Relic has a free tier; the other does not. Paid plans start at On request for DataRobot and Free for New Relic.
Does DataRobot or New Relic run on more platforms?
DataRobot runs on Web. New Relic runs on Web, Api, Mobile.
Can I use New Relic for free?
Yes. New Relic has a free tier, so you can try it without paying. DataRobot starts at On request.
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 New Relic is typically brought in for.
What can DataRobot do that New Relic cannot?
DataRobot covers Automated ML, Model deployment, Time series, MLOps. New Relic covers APM, Infrastructure Monitoring, Log Management, Browser Monitoring. Both handle AWS, Azure, GCP.

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
New Relic: Does New Relic offer a free tier?

Yes, New Relic's free tier is perpetual with no credit card required. It includes 100 GB of free data ingest monthly, one Full Platform User with access to all 50+ capabilities, and unlimited Basic Users for querying and dashboard creation.

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
New Relic: How much does New Relic cost for paid plans?

Paid plans start at $49 per month per core user. New Relic uses consumption-based pricing where you pay only for what you use. Annual commitment options are available with volume discounts for larger teams.

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
New Relic: What data retention is included in New Relic's free tier?

The free tier includes a minimum of 8 days data retention for troubleshooting. Paid plans offer extended retention periods and customizable data retention policies.

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
New Relic: How many integrations does New Relic support?

New Relic provides access to 780+ integrations and unlimited hosts at no additional cost. These include monitoring integrations for various cloud services, databases, and applications.

Source
New Relic: Can I use New Relic to monitor multiple cloud providers?

Yes, New Relic is cloud-agnostic and supports monitoring across AWS, Google Cloud, Azure, and on-premises infrastructure in a single platform.

Source
New Relic: What is New Relic's ownership structure today?

New Relic was acquired by TPG and Francisco Partners on July 31, 2023, for $6.5 billion and transitioned from a publicly traded company to a private company in November 2023.

Source
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