Machine Learning · head to head
Databricks vs DataRobot

Databricks
Machine Learning
Unified analytics platform for data engineering and data science
- From
- Free
- Rated
- -

DataRobot
Machine Learning
Enterprise AI platform for automated machine learning
- From
- On request
- Rated
- -
The short version
- Only Databricks has a free tier, so it costs nothing to try first.
- Each has a real cost: Databricks cloud compute is billed separately by the cloud provider on top of Databricks DBU charges; DataRobot model transparency is limited, often resembling a black box with limited explainability
- They diverge on capability: Databricks covers Delta Lake, DataRobot covers Automated ML.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Databricks and DataRobot actually diverge.
| Attribute | Databricks | DataRobot |
|---|---|---|
| Starting price | Free | On request |
| Pricing model | usage-based | subscription |
| Free tier | Yes | No |
| Platforms | Web, Aws, Azure, Gcp | Web |
| Founded | 2013 | 2012 |
Identical on both: user rating (Not yet rated), category (Machine Learning).
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 Databricks
- Delta Lake
- Apache Spark
- MLflow
- Unity Catalog
- Photon Engine
- Collaborative Notebooks
- Auto-scaling
- Tableau
Only in DataRobot
- Automated ML
- Model deployment
- Time series
- MLOps
- Model monitoring
- Snowflake
- Databricks
Both cover
- AWS
- Azure
- GCP
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Databricks
- Running Spark data engineering pipelines on managed clustersnot DataRobot
- Building a lakehouse over data in cloud object storagenot DataRobot
- Training and serving machine learning models alongside the datanot DataRobot
DataRobot
- Machine learningnot Databricks
- Data analysisnot Databricks
- Model trainingnot Databricks
- Predictive analyticsnot Databricks
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Databricks
- Cloud compute is billed separately by the cloud provider on top of Databricks DBU charges
- The free trial lasts 14 days
- Discounts require a Committed Use Contract, with larger commitments needed for larger discounts
- Azure Databricks pricing is set by Microsoft rather than by Databricks
- Security and compliance capabilities are sold as separate platform add ons rather than included in the base rate
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
Pricing, plan by plan
Databricks
Free- Community EditionFree
- Limited cluster
- Notebook environment
- Community support
- Standard$0.07/DBU
- Jobs compute
- SQL compute
- Standard support
DataRobot
On request- TrialFree
- Limited access
- Basic features
- EnterpriseFree
- Full platform
- AutoML
- MLOps
Which should you pick?
Choose Databricks if
- You need delta lake.
- You want to start without paying.
- You work on Web, Aws, Azure, Gcp.
- You also want apache spark.
Questions people ask
- Is Databricks or DataRobot better?
- Neither clearly leads. Databricks starts at Free and DataRobot at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Databricks or DataRobot?
- Databricks has a free tier; the other does not. Paid plans start at Free for Databricks and On request for DataRobot.
- Does Databricks or DataRobot run on more platforms?
- Databricks runs on Web, Aws, Azure, Gcp. DataRobot runs on Web.
- Can I use Databricks for free?
- Yes. Databricks has a free tier, so you can try it without paying. DataRobot starts at On request.
- What is Databricks best used for?
- Databricks is most often used for running spark data engineering pipelines on managed clusters, building a lakehouse over data in cloud object storage, training and serving machine learning models alongside the data. Of those, running spark data engineering pipelines on managed clusters and building a lakehouse over data in cloud object storage are not what DataRobot is typically brought in for.
- What can Databricks do that DataRobot cannot?
- Databricks covers Delta Lake, Apache Spark, MLflow, Unity Catalog. DataRobot covers Automated ML, Model deployment, Time series, MLOps. Both handle AWS, Azure, GCP, Web support.
Answered from the vendors’ own pages
Databricks: How is Databricks priced?
Databricks bills pay as you go with no up front cost, charging per second for the products used. Consumption is measured in Databricks Units, a normalised unit of processing power on the platform.
SourceDataRobot: 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.
SourceDatabricks: Does Databricks publish a per DBU price?
Not on its main pricing page. Rates vary by product and instance type, and Databricks directs buyers to individual product pricing pages and a calculator rather than listing a single figure.
SourceDataRobot: 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.
SourceDatabricks: Does the Databricks price include cloud costs?
No. Databricks states that if you configure it to work with your own cloud account, your cloud provider still charges you separately for the underlying resources.
SourceDataRobot: Does DataRobot support generative AI?
Yes, DataRobot offers generative AI capabilities with API-first integrations for LLMs, vector databases, and embedding models.
SourceDatabricks: Can I get a discount on Databricks?
Databricks offers Committed Use Contracts, where larger usage commitments earn greater benefits, including options to use commitments flexibly across multiple clouds.
SourceDataRobot: Can DataRobot handle unstructured data?
Yes, DataRobot supports machine learning on both structured and unstructured data, including deep learning, NLP, and image analysis.
SourceRelated pages
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- DataRobot vs Azure Machine Learning
- DataRobot vs TensorFlow
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- DataRobot vs Apache Spark MLlib
- DataRobot vs Alteryx
- DataRobot vs IBM SPSS
- DataRobot vs Palantir Foundry
- DataRobot vs BentoML
- DataRobot vs ClearML
- DataRobot vs Cohere
- DataRobot vs Dask
- DataRobot vs Fal AI
- DataRobot vs BigQuery ML
- DataRobot vs H2O.ai
- DataRobot vs Domino Data Lab
- DataRobot vs Dataiku
- DataRobot vs RapidMiner
- DataRobot vs Seldon
- DataRobot vs Pachyderm
- DataRobot vs Comet ML
- DataRobot vs Langwatch
- DataRobot vs LlamaIndex
- DataRobot vs Milvus
- DataRobot vs Neptune.ai
- DataRobot vs OpenAI API
- DataRobot vs Semantic Kernel
