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Cybersecurity · head to head

Baffle vs Palantir Gotham

Baffle logo

Baffle

Cybersecurity

Transparent proxy that encrypts, tokenises and masks database fields without application code changes

From
On request
Free plan
No
Full reviewWebsite
Palantir Gotham logo

Palantir Gotham

Government

Data Integration for Defense & Intelligence

From
$10000/month
Free plan
No
Full reviewWebsite

The short version

  • Each has a real cost: Baffle the proxy sits in the production data path, so it becomes a latency contributor and a failure domain, and any deployment needs load and failover testing that customers routinely underestimate.; Palantir Gotham no pricing information published; enterprise product requiring direct sales engagement
  • They diverge on capability: Baffle covers Transparent proxy deployment, Palantir Gotham covers Data Integration.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Baffle and Palantir Gotham actually diverge.

Attributes where Baffle and Palantir Gotham differ
AttributeBafflePalantir Gotham
Starting priceOn request$10000/month
PlatformsLinux, WebDesktop, Web
CategoryCybersecurityGovernment
FoundedUnknown2003

Identical on both: pricing model (quote), free tier (No), 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 Baffle

  • Transparent proxy deployment
  • Field-level encryption
  • Tokenisation
  • Format-preserving de-identification
  • Dynamic data masking
  • Bring your own key
  • Analytics and pipeline support
  • AI pipeline protection

Only in Palantir Gotham

  • Data Integration
  • Pattern Analysis
  • Link Analysis
  • Geospatial Analysis
  • Collaboration
  • Intelligence Databases
  • Classified Systems
  • GIS

What people use each for

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

Baffle

  • A bank with a legacy application it cannot safely refactor that has an audit finding requiring field-level encryption of account datanot Palantir Gotham
  • A company wanting to take a reporting database out of PCI scope by tokenising card fields before they landnot Palantir Gotham
  • A healthcare organisation that must ensure database administrators and cloud operators cannot read patient identifiers in the tables they administernot Palantir Gotham
  • A team moving regulated data into a warehouse or an AI retrieval pipeline that needs identifiers de-identified in transit without rewriting the ingest jobsnot Palantir Gotham

Palantir Gotham

  • Citizen Servicesnot Baffle
  • Records Managementnot Baffle
  • Public Safetynot Baffle
  • Civic Engagementnot Baffle

Where each one falls short

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

Baffle

  • The proxy sits in the production data path, so it becomes a latency contributor and a failure domain, and any deployment needs load and failover testing that customers routinely underestimate.
  • What you can still do in SQL depends on the protection mode chosen, and stronger modes restrict comparisons, joins and aggregations on protected columns, which can quietly break existing reports and analytics.
  • Database and driver coverage is finite, so an organisation with an unusual engine, an old driver or heavy use of stored procedures may find its most important system is exactly the one not supported.
  • Pricing is unpublished and scales with protected data stores, which means an enterprise trying to protect a long tail of small databases pays disproportionately compared with protecting a handful of large ones.
  • Key management is your responsibility under bring your own key, and while that is the correct security posture, it moves a real operational burden and a genuine data-loss risk onto the customer.

Palantir Gotham

  • No pricing information published; enterprise product requiring direct sales engagement

Pricing, plan by plan

Baffle

On request
  • Baffle Data Protection Services$undefined/year
    • Quoted by protected data stores and deployment scale
    • Self-managed and cloud marketplace deployment options
    • Annual subscription

Palantir Gotham

$10000/month
  • Enterprise$10000/month
    • Data Integration
    • Analysis Tools
    • Collaboration

Which should you pick?

Choose Baffle if

  • You need transparent proxy deployment.
  • You work on Linux, Web.
  • You also want field-level encryption.
Baffle review

Choose Palantir Gotham if

  • You need data integration.
  • You work on Desktop, Web.
  • You also want pattern analysis.
Palantir Gotham review

Questions people ask

Is Baffle or Palantir Gotham better?
Neither clearly leads. Baffle starts at On request and Palantir Gotham at $10000/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Baffle or Palantir Gotham?
Baffle starts at On request and Palantir Gotham at $10000/month.
Does Baffle or Palantir Gotham run on more platforms?
Baffle runs on Linux, Web. Palantir Gotham runs on Desktop, Web.
What is Baffle best used for?
Baffle is most often used for a bank with a legacy application it cannot safely refactor that has an audit finding requiring field-level encryption of account data, a company wanting to take a reporting database out of pci scope by tokenising card fields before they land, a healthcare organisation that must ensure database administrators and cloud operators cannot read patient identifiers in the tables they administer, a team moving regulated data into a warehouse or an ai retrieval pipeline that needs identifiers de-identified in transit without rewriting the ingest jobs. Of those, a bank with a legacy application it cannot safely refactor that has an audit finding requiring field-level encryption of account data and a company wanting to take a reporting database out of pci scope by tokenising card fields before they land are not what Palantir Gotham is typically brought in for.
What can Baffle do that Palantir Gotham cannot?
Baffle covers Transparent proxy deployment, Field-level encryption, Tokenisation, Format-preserving de-identification. Palantir Gotham covers Data Integration, Pattern Analysis, Link Analysis, Geospatial Analysis.

Answered from the vendors’ own pages

Baffle: Do applications need code changes?

No. That is the central design choice. Baffle intercepts traffic as a proxy rather than requiring an SDK call at every read and write.

Palantir Gotham: How much does Palantir Gotham cost?

Palantir Gotham does not publish pricing information on its website. As an enterprise analytics platform, costs are determined through direct sales consultation tailored to organizational scope and requirements.

Source
Baffle: Can you still query encrypted columns?

Partly, and it depends on the protection mode. Some modes preserve equality matching and format, stronger modes restrict what SQL operations remain possible, so this must be tested against your actual queries.

Baffle: Does it take systems out of PCI scope?

Tokenisation can reduce scope by ensuring card data never lands in the protected system, but scope reduction is an assessor judgement, not a product setting.

Baffle: Who holds the encryption keys?

You do, through your own key management service. Baffle supports bring your own key rather than holding customer keys itself.

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