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Databases · head to head

Apache Solr vs Palantir Foundry

Apache Solr logo

Apache Solr

Databases

Enterprise search platform built on Apache Lucene

From
Free
Rated
-
Full reviewWebsite
Palantir Foundry logo

Palantir Foundry

Machine Learning

Operating system for modern enterprise

From
On request
Rated
-
Full reviewWebsite

The short version

  • Only Apache Solr has a free tier, so it costs nothing to try first.
  • Each has a real cost: Apache Solr xML-heavy configuration and a developer experience that feels dated beside newer engines; Palantir Foundry custom pricing model with no public information makes budgeting difficult
  • They diverge on capability: Apache Solr covers Lucene-based indexing, Palantir Foundry covers Data integration.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Apache Solr and Palantir Foundry actually diverge.

Attributes where Apache Solr and Palantir Foundry differ
AttributeApache SolrPalantir Foundry
Starting priceFreeOn request
Pricing modelOpen source, no licence feesubscription
Free tierYesNo
PlatformsLinux, Docker, Kubernetes, Self-hostedWeb
CategoryDatabasesMachine Learning
FoundedUnknown2003

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 Apache Solr

  • Lucene-based indexing
  • Faceted search
  • SolrCloud
  • Schema control

Only in Palantir Foundry

  • Data integration
  • Ontology modeling
  • Pipeline builder
  • Operational analytics
  • Governance
  • Enterprise systems
  • Cloud platforms
  • IoT

What people use each for

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

Apache Solr

  • Library, archive and catalogue search where faceting is centralnot Palantir Foundry
  • Long-lived enterprise deployments valuing stability over noveltynot Palantir Foundry
  • Search requiring precise, explicitly configured relevance tuningnot Palantir Foundry

Palantir Foundry

  • Machine learningnot Apache Solr
  • Data analysisnot Apache Solr
  • Model trainingnot Apache Solr
  • Predictive analyticsnot Apache Solr

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Apache Solr

  • XML-heavy configuration and a developer experience that feels dated beside newer engines
  • SolrCloud depends on ZooKeeper, adding a component Elasticsearch removed years ago
  • Smaller mindshare now, so newer tutorials, hiring and integrations favour Elasticsearch
  • Considerably heavier than a purpose-built application search engine

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

Apache Solr

Free
  • Apache SolrFree
    • Full functionality
    • No usage limits
    • Community support

Palantir Foundry

On request
  • EnterpriseFree
    • Full platform
    • Custom deployment
    • Enterprise support

Which should you pick?

Choose Apache Solr if

  • You need lucene-based indexing.
  • You want to start without paying.
  • You work on Linux, Docker, Kubernetes, Self-hosted.
  • You also want faceted search.
Apache Solr review

Choose Palantir Foundry if

  • You need data integration.
  • You also want ontology modeling.
Palantir Foundry review

Questions people ask

Is Apache Solr or Palantir Foundry better?
Neither clearly leads. Apache Solr 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, Apache Solr or Palantir Foundry?
Apache Solr has a free tier; the other does not. Paid plans start at Free for Apache Solr and On request for Palantir Foundry.
Does Apache Solr or Palantir Foundry run on more platforms?
Apache Solr runs on Linux, Docker, Kubernetes, Self-hosted. Palantir Foundry runs on Web.
Can I use Apache Solr for free?
Yes. Apache Solr has a free tier, so you can try it without paying. Palantir Foundry starts at On request.
What is Apache Solr best used for?
Apache Solr is most often used for library, archive and catalogue search where faceting is central, long-lived enterprise deployments valuing stability over novelty, search requiring precise, explicitly configured relevance tuning. Of those, library, archive and catalogue search where faceting is central and long-lived enterprise deployments valuing stability over novelty are not what Palantir Foundry is typically brought in for.
What can Apache Solr do that Palantir Foundry cannot?
Apache Solr covers Lucene-based indexing, Faceted search, SolrCloud, Schema control. Palantir Foundry covers Data integration, Ontology modeling, Pipeline builder, Operational analytics.

Answered from the vendors’ own pages

Apache Solr: Is Apache Solr free?

Yes, open source under the Apache Software Foundation.

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
Apache Solr: Solr or Elasticsearch?

Both are built on Lucene. Elasticsearch has the larger ecosystem and a friendlier API; Solr is very mature and strong on faceted search, and remains common in library and catalogue systems.

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
Apache Solr: Is Solr still maintained?

Yes, actively, as a top-level Apache project.

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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