Palantir built FDE-driven. We built platform-driven.
Foundry's strength is its ontology and the forward-deployed engineers who shape it to your business. That model works at $50M+ deals over multi-year cycles. Eisberg's autonomous loop discovers the ontology, governs the agents, and ships the compliance modules out of the box — for the Fortune 1000 and the Series-D fintech alike.
0
FDE army required to be productive
Apache Iceberg
your data stays in your bucket
<30 days
to first measurable outcome
Outcome-priced
every line item has evidence
The differences that show up in your procurement cycle.
FDE-driven vs platform-driven.
Palantir's value model is forward-deployed engineers customizing the platform per customer. That works at $50M+ deals. Eisberg ships the platform — the autonomous loop, agent governance, compliance modules — without an FDE army. The platform is the FDE.
Closed-format gravity, even with the open marketing.
Foundry stores your data in Palantir-managed infrastructure. Eisberg writes Apache Iceberg in your bucket, behind your KMS keys. Continuity is structural, not contractual.
Mid-market and below, Palantir is wrong-shaped.
Foundry's pricing and FDE model presume customers with Palantir-sized budgets and Palantir-sized decision-making cycles. Eisberg is built for the Fortune 1000 — and shrinks to fit a Series-D fintech without a service contract.
Agent-native vs ontology-native.
Foundry's strength is the ontology. Eisberg's ontology is automated — discovered, not consultant-built. Plus agent-native APIs, MCP integration, and per-action metering Foundry was not designed for.
Open standards from line one.
Eisberg's portability commitment is structural. Apache Iceberg, MCP, open lineage protocols. Foundry interoperates by export; Eisberg interoperates by virtue of writing the standard format.
Cost transparency vs services pricing.
Foundry pricing is bespoke and opaque. Eisberg's outcome-based pricing ties every line item to a measured outcome with replayable evidence — auditable from the invoice alone.
The honest head-to-head.
| Capability | Eisberg | Snowflake | Databricks |
|---|---|---|---|
| GPU-native query engine | |||
| Open format (Iceberg) by default | |||
| Customer-owned object storage | |||
| Sub-100ms agent API targets | |||
| MCP-protocol native | |||
| Per-action agent metering | |||
| Policy-as-code governance at every layer | |||
| Compliance modules (BCBS 239 / SR 11-7 / HIPAA) | |||
| Autonomous data classification | |||
| Pipelines that resolve their own failures | |||
| Platform that gets smarter every quarter | |||
| Cost ceiling via outcome pricing |
Considering Foundry?
A 30-minute conversation about what your team actually needs. We will be honest about which use cases Foundry serves better — and which use cases we serve faster, cheaper, and without the FDE engagement.