Datafi vs. Palantir
Your AI Shouldn't Come With a Cage
Palantir's ontology locks your data, your team, and your future into a system you'll never fully own.
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Lock-in score
vs Palantir60–70%
of Palantir value can't leave with you
Datafi
100% portable Palantir
30% salvageable Side by side
Datafi vs. Palantir, line by line.
Datafi
Palantir
Ontology
Open semantic layer
Proprietary, non-portable
Permissions
Portable RBAC
Locked to platform
Knowledge
Documented, transferable
Trapped in FDE heads
Exit Path
Export anytime
Rebuild from scratch
The lock-in pattern
Four layers decide whether you own your AI stack
Ontology, permissions, knowledge, runtime. Build them on Palantir and they live inside a proprietary system you can't export. Build them on Datafi and every layer ships as open formats, documented configs, and standard APIs you can walk away with in an afternoon.
Run the portability auditBy the numbers
The gap is measurable.
100%
Exportable on Datafi
~$9M
Typical Palantir rebuild cost
0
Customers who've fully left Palantir
4 hrs
To export a Datafi workspace
The switching costs for Palantir are among the highest in enterprise software. Once the ontology is built, customers face a near-total rebuild to migrate.
— Gartner Market Analysis, 2024
Teams that move to Datafi recover ~$9M in rebuild cost.