Compare moats
Up to three covered companies, band by band. Every call is a curated editorial judgment, never a disclosed figure — and every band carries its cited basis.
| Palantir Technologies | Cerebras Systems | MongoDB | |
|---|---|---|---|
| Moat rating | narrow The FY2025 10-K competition section concedes that some competitors have 'greater name recognition, longer operating histories, and larger customer bases', 'larger and more mature intellectual property portfolios', and 'substantially greater financial, technical, and other resources' — and that Palantir is 'fundamentally competing with the internal software development efforts of our potential customers'. A real moat exists but the filing's own disclosure caps it below wide. | narrow One-of-a-kind silicon sold to very few buyers: the IPO prospectus discloses G42 at 24.0% of 2025 revenue (85.0% in 2024), MBZUAI at 62.0% of 2025 revenue, and a December 2025 MRA with OpenAI representing 'a substantial portion of our projected revenues over the next several years' — against a competitive field the same document names as NVIDIA, AMD, Intel, hyperscaler accelerators and the major clouds. | narrow The FY2026 10-K frames a 'rapidly evolving and highly competitive' database market where the principal rivals — 'legacy database providers and large cloud providers' — hold explicit advantages: 'longer operating histories, more established relationships … significantly greater financial, technical, marketing or other resources … broader global distribution,' and can offer competing products 'at a low cost or no cost.' A developer-mindshare and switching-cost position is defensible but not wide against that field. |
| Moat type | switching costs The 10-K reports that 'our top three customers by revenue for the year ended December 31, 2025, have been with us for an average of ten years' and that a significant portion of revenue comes from existing customers expanding their relationships. The filing explicitly disclaims patent dependence — 'we are not dependent on any particular patent or application' — so the durable source is embedded deployment, not IP. | intangibles ip Wafer-scale integration is the moat's substance: the prospectus contrasts the WSE-3's 4 trillion transistors on 46,225 mm² of silicon with NVIDIA's B200 at 208 billion on roughly 1,600 mm² — a commercial chip category with one occupant. | switching costs A database is the system an application is built on: the 10-K states 'a database directly impacts an application's performance, scalability, flexibility and reliability,' and Atlas is 'our managed multi-cloud database-as-a-service' running the customer's live workloads — re-platforming a database is a rewrite, not a swap. |
| Leadership | at parity The 10-K claims only that 'we believe we generally compete favorably with our competitors', while conceding rivals' greater scale, recognition and resources. The filing does not assert market leadership, so a leader band is not groundable from it. | clear leader Scoped to the category the record supports: wafer-scale integration has no other commercial occupant per the prospectus's own comparison, and the Q2 release claims — attributed, via AMD and AWS partnerships — leadership in disaggregated inference, a technique the prospectus defines. | co leader The 10-K positions MongoDB as the leading document database by developer mindshare but names 'legacy database providers and large cloud providers' as better-resourced rivals across the broader database market — a category leader within a market it does not lead overall. |
| Pricing power | strong FY2025 gross profit of $3.7 billion on a gross margin of 82% (84% excluding stock-based compensation), up from 80% (83% ex-SBC) in FY2024 — a sustained and rising 80%+ gross margin. | moderate The CFO states Q2 'significantly improved core gross and operating margins compared to a year ago' — improving, from a base where three named customers hold most of the revenue and the leverage that comes with it. | moderate Owning the IP and the roadmap ('the determination of which features are included in our free or paid offerings') gives real list-price control, but the same filing flags competitors offering database products 'at a low cost or no cost basis,' which caps it. |
| Summary | Customers who deploy Foundry model their operations in the Ontology and build workflows on top of it, so displacement means rebuilding that layer rather than swapping a vendor — which is why the 10-K frames its main competitor as the customer's own internal build effort. Ten-year average tenure among the top three customers is the filing's own evidence that those deployments persist. | Cerebras bet that AI compute should be one enormous chip rather than many small ones — 'quantities of compute and memory never before assembled on a single commercial chip,' avoiding 'the latency and the power-draw induced by the traditional approach,' in the prospectus's words — and is converting that bet into an inference cloud: Q2 2026 cloud revenue grew 281% with 600 MW of data center capacity under contract and $25.4 billion of remaining performance obligations. The concentration that funded the bet is the risk that remains: two related-party Gulf customers were 86% of 2025 revenue between them, with the OpenAI MRA now layered on top. | MongoDB monetizes developer mindshare that began as open source: the 10-K notes 'we own the intellectual property of our offerings since we are the creators of the software,' which lets it run a 'proprietary software subscription business model' and control the roadmap. The durable asset is the document-model install base and Atlas's managed multi-cloud workloads, positioned for AI as 'the underlying database … capable of processing queries against rich and complex data structures.' The counterweight, in the filing's own words, is that the large cloud providers it depends on for Atlas hosting are also its best-resourced competitors. |
| Chain position | Application-layer software sitting above the cloud and model providers; AIP connects to third-party LLMs rather than supplying them. | Layer-4 wafer-scale accelerators plus an inference cloud — hardware vendor and specialized cloud in one node. | Layer-10 application-layer data platform — the operational database under AI and general software workloads. |
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| Long-horizon vote | +0.11 at weight 0.20 · swarm bullish Editorial prior, not backtested. | +0.20 at weight 0.20 · swarm bearish Editorial prior, not backtested. | +0.13 at weight 0.20 · swarm neutral Editorial prior, not backtested. |