Softwr

Machine Learning & Data Science · head to head

Databricks vs Palantir Foundry

Databricks logo

Databricks

Machine Learning & Data Science

Unified analytics platform for data engineering and data science

From
Free
Rated
-
Palantir Foundry logo

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.

Attributes where Databricks and Palantir Foundry differ
AttributeDatabricksPalantir Foundry
Starting priceFreeOn request
Pricing modelusage-basedsubscription
Free tierYesNo
PlatformsWeb, Aws, Azure, GcpWeb
Founded20132003

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.

Source
Palantir 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.

Source
Palantir 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.

Source

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