Machine Learning & Data Science · head to head
Databricks vs Palantir Foundry

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

Palantir Foundry
Machine Learning & Data Science
Operating system for modern enterprise
- 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; Palantir Foundry custom pricing model with no public information makes budgeting difficult
- They diverge on capability: Databricks covers Delta Lake, Palantir Foundry covers Data integration.
Where they differ
Only the attributes on which Databricks and Palantir Foundry actually diverge.
| Attribute | Databricks | Palantir Foundry |
|---|---|---|
| Starting price | Free | On request |
| Pricing model | usage-based | subscription |
| Free tier | Yes | No |
| Platforms | Web, Aws, Azure, Gcp | Web |
| Founded | 2013 | 2003 |
Identical on both: user rating (Not yet rated), category (Machine Learning & Data Science).
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
- AWS
Only in Palantir Foundry
- Data integration
- Ontology modeling
- Pipeline builder
- Operational analytics
- Governance
- Enterprise systems
- Cloud platforms
- IoT
Both cover
- 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 Palantir Foundry
- Building a lakehouse over data in cloud object storagenot Palantir Foundry
- Training and serving machine learning models alongside the datanot Palantir Foundry
Palantir Foundry
- 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
Palantir Foundry
- Custom pricing model with no public information makes budgeting difficult
- Steep implementation and configuration requirements
- Requires significant technical expertise to operate effectively
- Long sales cycle typical for enterprise software
Pricing, plan by plan
Databricks
Free- Community EditionFree
- Limited cluster
- Notebook environment
- Community support
- Standard$0.07/DBU
- Jobs compute
- SQL compute
- Standard support
Palantir Foundry
On request- EnterpriseFree
- Full platform
- Custom deployment
- Enterprise support
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.
Choose Palantir Foundry if
- You need data integration.
- You also want ontology modeling.
Questions people ask
- Is Databricks or Palantir Foundry better?
- Neither clearly leads. Databricks starts at Free and Palantir Foundry at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Databricks or Palantir Foundry?
- Databricks has a free tier; the other does not. Paid plans start at Free for Databricks and On request for Palantir Foundry.
- Does Databricks or Palantir Foundry run on more platforms?
- Databricks runs on Web, Aws, Azure, Gcp. Palantir Foundry runs on Web.
- Can I use Databricks for free?
- Yes. Databricks has a free tier, so you can try it without paying. Palantir Foundry 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 Palantir Foundry is typically brought in for.
- What can Databricks do that Palantir Foundry cannot?
- Databricks covers Delta Lake, Apache Spark, MLflow, Unity Catalog. Palantir Foundry covers Data integration, Ontology modeling, Pipeline builder, Operational analytics. Both handle Web support.
Answered from the vendors’ own pages
Palantir Foundry: What is Palantir Foundry designed for?
Palantir Foundry is an enterprise data integration and analytics platform supporting end-to-end data pipelines, covering ingestion, processing, pipeline building, monitoring, and creating analytics dashboards with both code and no-code tools.
SourcePalantir Foundry: How much does Palantir Foundry cost?
Palantir Foundry uses custom pricing. No public list pricing is available. Enterprise customers and government agencies must contact Palantir directly for formal quotes and licensing terms.
SourcePalantir Foundry: Who uses Palantir Foundry?
Palantir Foundry serves enterprise and government organizations needing complex data integration, analytics, and operational intelligence across large-scale data environments.
SourceRelated pages
More on Palantir Foundry
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- Palantir Foundry vs Comet ML
- Palantir Foundry vs Keras
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- Palantir Foundry vs Weights & Biases
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- Palantir Foundry vs Anaconda
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