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.
| Digital Realty Trust | Datadog | MongoDB | |
|---|---|---|---|
| Moat rating | narrow The FY2025 10-K's own competitive record cuts both ways. Item 1 says a "high-quality, highly interconnected global portfolio such as ours could not be easily replicated today on a cost-competitive basis," yet Item 1A concedes that competitors have "significantly greater financial, marketing and other resources and more ready access to capital" and that as rivals keep developing space, "rental rates may be reduced or we may face delays in leasing." A durable advantage that its own filing says new supply can price against is bounded, not unassailable. | 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. | 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 | network effects Item 1 attributes the hard-to-replicate part of the portfolio to connectivity rather than to real estate: "the network density, interconnection infrastructure and connectivity-centric customers in certain of our data centers have led to the organic formation of densely connected data communities that are difficult for competitors to replicate." That community sits on over 232,000 cross connects in over 55 metros, so each network and cloud that lands makes the same building worth more to the next tenant. | 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 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 | co leader Item 1 claims the title of "the largest global provider of cloud- and carrier-neutral data center, colocation and interconnection solutions," but the Competition section names Equinix and NTT as operators of properties "similar to ours in some of the same metropolitan areas," plus Global Switch and regional operators abroad — a shared top tier on the company's own telling, not a solitary one. | 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 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 renewals signed re-priced upward in every bucket — +27.0% on greater-than-1 MW space ($146 to $186 per square foot), +4.6% on 0-1 MW ($268 to $280) and +43.0% on other ($49 to $71) — and MD&A expects average aggregate rental rates on 2026 renewals to be positive against the rates currently paid for the same space "on a GAAP basis and on a cash basis." On costs, the filing says utilities expense "is our largest expense category" and that "the vast majority of the expense is passed directly through to our customers," which it credits with significantly mitigating exposure to power-cost increases rather than removing it. The cap: Item 1A warns competitor development could still force rates down. | 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 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 | Digital Realty rents space, power and connectivity rather than compute: at 2025 year-end its portfolio held 310 data centers and roughly 57.6 million rentable square feet across more than 55 metros in over 30 countries, about 84.7% leased, serving more than 5,000 customers. Two different businesses sit inside that footprint. The greater-than-1 MW wholesale side is a capital-and-power race — 769 MW of projects underway with 64% pre-leased, and land that "could accommodate over 3,500 megawatts of additional data center capacity" — where the 10-K names Equinix, NTT, Global Switch and "various private operators" as rivals and warns that added supply can push rents down. The colocation and interconnection side is the defended half: over 232,000 cross connects and the "densely connected data communities" Item 1 says competitors cannot easily replicate, reinforced by contracts the filing describes as generally running 5-10+ years on large deployments and by improvements "installed at our customers' expense." FY2025 leasing supports that read — renewals signed re-priced +27.0% on greater-than-1 MW space and +4.6% on 0-1 MW — while customer concentration is the offsetting exposure, with the largest customer at roughly 11.7% of annualized recurring 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. | 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 | Landlord to the AI stack — sells the space, power and interconnection that cloud, network and enterprise tenants run compute in (Oracle, IBM, Meta Platforms, AT&T, Comcast and Lumen are among the customers named in Item 1), with roughly 2.9 GW of total in-place IT capacity. | 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. | Layer-10 application-layer data platform — the operational database under AI and general software workloads. |
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| Long-horizon vote | +0.17 at weight 0.20 · swarm neutral Editorial prior, not backtested. | +0.13 at weight 0.20 · swarm neutral Editorial prior, not backtested. | +0.13 at weight 0.20 · swarm neutral Editorial prior, not backtested. |