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護城河比較

最多三家已涵蓋的公司,逐項對照。每一項判斷都是人工編輯的判斷,而非公司揭露的數字——而且每一項都附有其引用依據。

正在比較 Snowflake×Datadog×Cisco Systems× 最多 3 家——請先移除一家再替換
Snowflake SNOW ai 護城河: 最新變動 2026-03-20 Datadog DDOG ai 護城河: 最新變動 2026-02-18 Cisco Systems CSCO ai 護城河: 最新變動 2025-09-03
護城河評級 窄

Narrow, not wide, because the FY2026 10-K documents a strong installed base and a competitive position the company itself says is under erosion. On the asset side: revenue of $4.7 billion (29% growth in each of the last three fiscal years), 13,328 total customers up from 10,996, 790 of the Forbes Global 2000 contributing about 43% of revenue, 733 customers above $1 million in trailing-12-month product revenue up from 576, a 125% net revenue retention rate, and more than 1,050 issued U.S. patents. Against that, Item 1A states plainly that adopting open data formats like Apache Iceberg means 'there is less customer “lock in” when our products are used in external environments' and that 'our support of open data formats may also reduce switching costs between us and our competitors'; that AWS, Azure and GCP 'generally compete in all of our markets' while also supplying the infrastructure a 'substantial majority of our business is run on'; and that the company remains loss-making at $1.3 billion of net loss for the year.

來源:sec.gov

窄

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.

來源:sec.gov

窄

The FY2025 10-K shows a moat that still pays but no longer compounds: total gross margin of 64.9% and remaining performance obligations of $43,533 million (up 6%) against a Networking product category that fell from $34,570 million in fiscal 2023 to $29,229 million in fiscal 2024 to $28,304 million in fiscal 2025, and a product gross-margin bridge in which 'Product pricing' subtracted 1.6 percentage points. All of the reported category growth came from Splunk-carrying lines - Security +59% and Observability +26%. Real and durable, but bounded: narrow, not wide.

來源:sec.gov

護城河類型 轉換成本

The filing makes its own affirmative claim of network effects — 'Our business benefits from powerful network effects. ... The more customers adopt our platform, the more data can be exchanged with other Snowflake customers, partners, data providers, and data consumers' — but the load-bearing, quantified evidence in the document points to switching costs. The platform is sold as the way to 'consolidate data into a single source of truth,' and the disclosed economics of that consolidation are a 125% net revenue retention rate and 733 customers above $1 million in trailing product revenue. Item 1A confirms the mechanism by naming what is at risk: open formats produce 'less customer “lock in”' and 'may also reduce switching costs.' The filing frames lock-in, not network density, as the thing erosion would take away.

來源:sec.gov

轉換成本

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".

來源:sec.gov

轉換成本

The durable piece is the contracted annuity attached to installed equipment: total remaining performance obligations of $43,533 million, of which $21,961 million is services and $21,810 million is long-term (recognised beyond twelve months), carried at a services gross margin of 68.5% that has risen for three consecutive years from 66.4% and 68.1%. Customers keep paying for support on gear they already run.

來源:sec.gov

領先地位 並列領先者

The 10-K contains no ranking, market-share figure, or claim of leadership, and it names no non-hyperscaler competitor by name. The band rests on disclosed scale — $4.7 billion of revenue, 13,328 customers, 9,060 employees across 36 countries — set against the filing's own statement that 'many of our competitors have substantially greater brand recognition, customer relationships, and financial, technical, and other resources than we do.' Co-leader among independent cloud data platforms; not a leader over AWS, Azure and GCP, which the filing says compete in all of its markets.

來源:sec.gov

並列領先者

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.

來源:sec.gov

並列領先者

The 10-K names no competitor and discloses no market share anywhere in Management's Discussion and Analysis. The positional facts it does give are scale and direction: Networking product revenue of $28,304 million in fiscal 2025 - by far the largest of its four categories - but down $6.3 billion from fiscal 2023, with channel partner financing volume falling from $32.1 billion to $27.1 billion to $24.9 billion across fiscal 2023-2025.

來源:sec.gov

定價權 中等

The consumption model plus 125% net revenue retention shows real expansion pricing, and the filing argues it competes on 'pricing transparency and optimized price-performance.' But Item 1A limits how far that goes: competition 'may negatively impact our ability to acquire new customers ... put downward pressure on our prices and gross margins'; the company 'may not be able to ... offer as many discounts or free services as our competitors'; results depend on 'changes in our pricing model, including in response to significant price discounts by our competitors' and on 'customer optimization efforts that result in reduced consumption.' On the cost side, 'our costs and gross margins are significantly influenced by the prices we are able to negotiate with these public cloud providers, which in certain cases are also our competitors.'

來源:sec.gov

中等

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.

來源:sec.gov

中等

The product gross-margin bridge attributes fiscal 2025's 0.2-point improvement to productivity (+2.0 points) and mix (+1.1 points) while 'Product pricing' subtracted 1.6 points; a legal dispute with a supplier cost a further 0.8 points. Total gross margin of 64.9% (product 63.7%, services 68.5%) is held by cost and mix, not by price.

來源:sec.gov

綜述

Snowflake's advantage in its FY2026 10-K rests on being the consolidation point for enterprise data: a multi-cluster shared-data architecture with proprietary columnar storage and automatic micro-partitioning, delivered across three major public clouds and 53 interconnected regional deployments, that customers adopt as a single governed source of truth and then expand on — 125% net revenue retention, 790 of the Forbes Global 2000 as customers. The filing layers a collaboration claim on top, with sharing 'generally without copying or moving the underlying data' and a Marketplace of 'hundreds of live, ready-to-query third-party data sets and data products.' The same document is unusually candid about the counter-pressure: Iceberg and open formats reduce lock-in by the company's own account, the three hyperscalers compete across every market while setting the cloud costs that 'significantly influence' gross margins, and frontier AI model providers 'may seek to vertically integrate ... by expanding into the data storage and management layers.'

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.

The installed base still switches slowly - but the filing does not claim it is winning the AI datacenter on the strength of that base. The fiscal 2025 Networking decline is attributed to 'product shipments returning to normalized levels during the first half of fiscal 2025 from the elevated levels ... in the first half of fiscal 2024', to servers, and to 'a decline in campus switching' - normalisation, not disclosed share loss, so the whitebox/Arista thesis is not something this 10-K either confirms or denies. What the filing does disclose is the shape of the AI dollar Cisco is actually winning: Americas service provider and cloud growth 'driven by AI infrastructure revenue from webscale customers', funded by additional purchase commitments 'related to manufacturing Cisco Silicon One and other products to meet demand from webscale and other customers', which 'significantly increased our supply chain exposure, which has resulted in negative impacts to our product gross margin in recent periods and may result in further negative impacts in future periods'. Enterprise switching earns 63.7% product gross margin; webscale silicon costs margin to serve. The moat is intact where the annuity is and thin where the growth is.

產業鏈位置

Sits at the enterprise data and governance layer of the AI stack, and the AI exposure is explicit rather than incidental: the filing brands the product the 'AI Data Cloud,' lists AI as a product category, and put Snowflake Intelligence, Cortex Agents and a Managed MCP Server into general availability during the fiscal year. It is a buyer of hyperscaler compute and of third-party frontier models — 'strategic partnerships with foundational model providers deliver state-of-the-art models natively within Snowflake Cortex AI,' with stated 'model neutrality' — and a supplier of governed enterprise data and GPU-backed managed compute to AI applications built on top.

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.

Supplies networking into AI datacenters: the 10-K ties Americas service provider and cloud growth to 'AI infrastructure revenue from webscale customers' and to Cisco Silicon One manufacturing commitments.

產品(市佔 / 門檻)
  • Cisco Silicon One and webscale AI infrastructure 挑戰者 · 低 來源:sec.gov
  • Collaboration (Webex Suite, devices, Contact Center, CPaaS) 挑戰者 · 低 來源:sec.gov
  • Networking (switching, routing, wireless, servers) 領先 · 中等 來源:sec.gov
  • Observability (Splunk Observability Suite, ThousandEyes) 利基市場 · 中等 來源:sec.gov
  • Security (Splunk TDR, SASE, network security) 前三 · 中等 來源:sec.gov
  • Technical support and services 領先 · 深 來源:sec.gov
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