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Software · head to head

DataRobot vs Redash

DataRobot logo

DataRobot

Software

Enterprise AI platform for automated machine learning

From
On request
Rated
-
Full reviewWebsite
Redash logo

Redash

Software

Connect and visualize your data

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only Redash 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; Redash a basic self-hosted deployment needs a minimum of 4GB of RAM, and more RAM and CPU as background workers and API processes grow
  • They diverge on capability: DataRobot covers Automated ML, Redash covers SQL Query Editor.

Where they differ

Only the attributes on which DataRobot and Redash actually diverge.

Attributes where DataRobot and Redash differ
AttributeDataRobotRedash
Starting priceOn requestFree
Pricing modelsubscriptionfreemium
Free tierNoYes
PlatformsWebWeb, Self-hosted, Cloud
Founded20122013

Identical on both: user rating (Not yet rated), category (Unknown).

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 Redash

  • SQL Query Editor
  • Multiple Data Sources
  • Visualizations
  • Dashboards
  • Alerts
  • PostgreSQL
  • MySQL
  • BigQuery

Both cover

  • Web support

What people use each for

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

DataRobot

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

Redash

  • Self-hosted SQL query editor and dashboarding over existing databasesnot DataRobot
  • Sharing scheduled query results with a team without buying a BI licencenot 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

Redash

  • A basic self-hosted deployment needs a minimum of 4GB of RAM, and more RAM and CPU as background workers and API processes grow
  • The official Docker images were not updated for V10, so the documented route is to deploy a V8 instance and then upgrade it
  • Anyone not using a provided cloud image has to configure the environment variables and secrets by hand

Pricing, plan by plan

DataRobot

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

Redash

Free
  • Open SourceFree
    • Full Features
    • Self-hosted
    • Community Support
  • Cloud$49/month
    • Managed Hosting
    • Automatic Updates
    • Support

Which should you pick?

Choose DataRobot if

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

Choose Redash if

  • You need sql query editor.
  • You want to start without paying.
  • You work on Web, Self-hosted, Cloud.
  • You also want multiple data sources.
Redash review

Questions people ask

Is DataRobot or Redash better?
Neither clearly leads. DataRobot starts at On request and Redash at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DataRobot or Redash?
Redash has a free tier; the other does not. Paid plans start at On request for DataRobot and Free for Redash.
Does DataRobot or Redash run on more platforms?
DataRobot runs on Web. Redash runs on Web, Self-hosted, Cloud.
Can I use Redash for free?
Yes. Redash 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 Redash is typically brought in for.
What can DataRobot do that Redash cannot?
DataRobot covers Automated ML, Model deployment, Time series, MLOps. Redash covers SQL Query Editor, Multiple Data Sources, Visualizations, Dashboards. Both handle Web support.

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
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
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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