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.
| Hon Hai Precision (Foxconn) | Datadog | Oracle | |
|---|---|---|---|
| Moat rating | narrow The advantage the company documents is real but sits almost entirely below the gross line: the 2Q26 release cites EMS market share that 'exceeds 40%', over 240 campuses across 24 countries and CNC/SMT automation 'close to 100%', while the same quarter's gross margin was 6.12% — 21 bps below 2Q25's 6.33% per the results deck — and operating margin was 3.75%. | narrow The FY2025 10-K grounds real stickiness — a trailing-12-month dollar-based net retention rate of "about 120%" as of December 31, 2025 and "approximately 84% of our customers were using two or more products" out of approximately 32,700 customers — but the same filing caps it. It names IBM, Microsoft and SolarWinds (on-premise infrastructure monitoring), Cisco, New Relic and Dynatrace (APM), Cisco and Elastic (log management) and "native solutions from cloud providers such as Amazon Web Services, or AWS, Microsoft Azure, and Google Cloud Platform" as competitors, plus "home-grown and open-source technologies", and concedes "many of our competitors have greater financial, technical and other resources, greater brand recognition, larger sales forces and marketing budgets". It further discloses an AI-native cohort "which cohort includes our largest customer and represented approximately seven percentage points of our year-over-year revenue growth for the quarter ended December 31, 2025" whose members "have rapidly increased their usage of our product and then optimized or may in the future optimize their usage". Sticky but bounded: narrow, not wide. | wide Oracle's FY2026 10-K (fiscal year ended May 31, 2026) describes an installed base in which "substantially all customers opt to purchase software support contracts when they purchase an Oracle software license"; that entrenchment shows up externally as the #1 DB-Engines database ranking (August 2026, first of 435 systems) and $638B of contracted Remaining Performance Obligations at Q4 FY2026 (press release, June 10, 2026) — a durable, multi-decade lock on mission-critical enterprise data layers. |
| Moat type | cost scale Rotating CEO Michael Chiang attributes the sustained operational performance to 'its global footprint and economies of scale', more than 240 sites in 24 countries, 'vertically integrated and highly automated operations' and 'a high in-house production ratio of key components'; the results deck's closing slide is titled 'Vertical integration of AI supply chain L1 to L12 optimizes cost structure'. | switching costs The 10-K locates the durable hold in platform integration rather than protected IP. A single agent collects "metrics, traces, logs, and other data"; under "One Data Model" every ingested datum is "consistently tagged with metadata regardless of its type", so different data types can be "queried together, correlated, alerted on, and visualized in a common user interface"; more than 1,000 out-of-the-box integrations bind it to the customer's stack; and the attach ladder deepens (approximately 84% of customers on two or more products, 55% on four or more, 33% on six or more and 18% on eight or more as of December 31, 2025). Displacing Datadog means re-instrumenting an estate the filing describes as "frequently deployed across a customer's entire infrastructure, making it ubiquitous". | switching costs The core moat is the cost of moving mission-critical databases and back-office suites: the FY2026 10-K notes substantially all license customers attach support contracts and that Oracle's Multicloud Database offerings run Oracle AI Database inside other hyperscalers' clouds — monetizing the installed base even when the customer's infrastructure leaves; the KLAS 2026 EHR report shows the same dynamic in health IT, where roughly a third of Oracle Health customers want to leave but feel unable to do so. |
| Leadership | clear leader Company-stated: the release describes Hon Hai Technology Group as 'the world's largest electronics manufacturer and leading technology solutions provider, ranking 23rd in Fortune Global 500', with EMS market share that 'exceeds 40%' across its four product segments. No independent ranking is cited in the source. | co leader The 10-K claims only that "We believe that we compete favorably with respect to the factors listed above" — never category leadership — and names a distinct credible rival set in each category it serves, while conceding many of those rivals have greater resources and brand recognition. It does claim one first: being "the first to combine the 'three pillars of observability' - metrics, traces, and logs - into a single end-to-end platform" with log management in 2018. That reads as the leading independent among several credible rivals, not a clear leader. | co leader Split by line: clear leader in database (DB-Engines August 2026 ranks Oracle #1 and Oracle-owned MySQL #2 of 435 systems); one of the largest enterprise-application vendors ($15.9B FY2026 SaaS revenue, competing with SAP, Salesforce, Workday and Microsoft per the FY2026 10-K); but in cloud infrastructure a ~4%-share fast-growing challenger behind Amazon (28%), Microsoft (20%) and Google (15%) per Synergy Q2 2026 data (The Register, 2026-08-01), and #2 in US acute-care EHR behind Epic (KLAS 2026). |
| Pricing power | weak Gross margin was 6.12% in 2Q26 and 6.15% in 1H26, and the results deck shows the quarter 21 bps below 2Q25's 6.33% even as revenue grew 41% year-on-year; the group frames profitability against its own 3% operating-margin target, met at 3.67% in 1H26 — margins of that order leave little headroom to price above cost. | moderate Expansion is real but volume-driven rather than price-driven. The 10-K attributes the increase in trailing-12-month dollar-based net retention to about 120% (from "high-110%'s" a year earlier) to "increased usage growth from existing customers", and describes self-service expansion by "adding hosts or volumes of data monitored". The same filing warns that if customers "reduce their usage, fail to renew their subscriptions or renew on different terms", then "our revenue and dollar-based net retention may decline" — a usage-metered model hands the customer a dial that seat-based pricing does not. | moderate Strong in the installed base — the FY2026 10-K states substantially all license customers purchase support contracts, a recurring stream customers rarely drop — but the same 10-K lists "total cost of ownership" first among key competitive factors and describes intense competition across every segment; AI-infrastructure deals are won against hyperscalers and neoclouds, and Q4 FY2026 SaaS grew a moderate 10% versus 93% for IaaS (press release, June 10, 2026). |
| Summary | Foxconn's own 2Q26 disclosure rests the business on scale and integration: over 240 campuses in 24 countries, EMS market share above 40%, CNC and SMT automation close to 100%, and an L1-to-L12 in-house chain for AI racks — high-speed cable, power busbars, sockets and connectors, enclosures, chassis, heatsinks, PCB/PCBA, compute and switch trays, manifolds, racks — which management says lets the group 'maintain sound operating efficiency and yields in the face of high unit price and highly complex AI products'. Cloud and networking products were 51% of 2Q26 revenue, the company says it 'continues to expand its market share in AI server racks', and its stated AI advantage is 'providing complete, end-to-end system solutions, rather than just single products'. The counterweight is in the same release: 6.12% gross margin and a 3.75% operating margin on NT$2.53 trillion of quarterly revenue. | Datadog's advantage is consolidation, not exclusivity. Per the FY2025 10-K it runs a modular platform of "over 20 products" fed by one agent and one tagged data model, deployed across a customer's whole estate with more than 1,000 integrations — so each additional product adopted makes the estate costlier to unwind, which shows up as roughly 120% dollar-based net retention and a multi-product attach ladder that thickened at every rung during 2025. What holds the rating at narrow rather than wide is that the filing itself names hyperscaler-native monitoring and open-source tooling as direct substitutes in the same categories, and flags an AI-native cohort including its largest customer that can optimize usage down as quickly as it ramped up. | Oracle pairs the deepest switching-cost franchise in enterprise software — the #1-ranked database (DB-Engines, August 2026) plus Fusion/NetSuite back-office suites, with support attach near-universal per the FY2026 10-K — with a late but explosive push into AI cloud infrastructure: Q4 FY2026 IaaS revenue grew 93% to $5.8B and RPO reached $638B (up 363% YoY), mostly large-scale AI contracts (press release, June 10, 2026). The two reinforce each other via multicloud — Oracle Multicloud AI Database grew 404% in Q4 running inside rival clouds. The offsets: in cloud infrastructure Oracle is still a ~4%-share challenger behind AWS/Microsoft/Google (Synergy Q2 2026 data via The Register), the AI buildout drove FY2026 free cash flow to negative $23.7B, and the Cerner-based Oracle Health business has lost US hospital share for three straight years (KLAS 2026). |
| Chain position | Builds and integrates the rack-level AI systems the cloud buildout ships in: cloud and networking products were 51% of 2Q26 revenue, NVIDIA Vera Rubin NVL72 was shown at COMPUTEX 2026, and the company said on 12 Aug 2026 that Vera Rubin racks were entering mass production in the third quarter. | A software layer above the cloud rather than a supplier into it: the 10-K describes the platform as "cloud agnostic", deployable across "public cloud, private cloud, on-premise, multi-cloud, and hybrid environments", and monetizes the AI build-out through LLM Observability, which traces LLM chains and correlates them with APM. | Supply-chain role in AI: OCI sells GPU compute for AI training and inference — the Q4 FY2026 press release attributes most of the $85B sequential RPO increase to large-scale AI contracts (some with customer-prepaid or customer-supplied GPUs totaling $75B) and guides FY2027 total revenue to $90B — making Oracle a primary capacity supplier to AI model builders. |
| Products (share / barrier) |
|
|
|
| Long-horizon vote | +0.13 at weight 0.20 · swarm neutral Editorial prior, not backtested. | +0.13 at weight 0.20 · swarm neutral Editorial prior, not backtested. | +0.30 at weight 0.20 · swarm bullish Editorial prior, not backtested. |