Snowflake
Managed enterprise data cloud for analytics, sharing, AI, and clean rooms.
Available information varies by company and source.
Profile record updated:
Company facts
- Official name
- Snowflake Inc.
- Entity type
- COMPANY
- Founded
- 2012
- Headquarters
- Suite 3A, 106 East Babcock Street, Bozeman, MT 59715
- Company size
- >5,000
- Market role
- B2B SaaS Provider
- Ticker
- SNOW
- Official website
- snowflake.com
What Snowflake does
Snowflake operates a B2B cloud software model built around a managed data platform. It creates value by abstracting infrastructure management, unifying storage and compute, enabling governed data sharing, and extending that core platform into adjacent services such as marketplace distribution, privacy-safe clean rooms, developer tooling, and AI inference. This allows enterprise customers to consolidate multiple data workloads within one commercial and technical environment.
Category differentiation
Snowflake is an enterprise cloud data platform vendor, not a consumer app, media owner, or adtech buying platform. It should be distinguished from generic cloud storage providers by its focus on governed data warehousing, sharing, clean rooms, and in-platform analytics and AI workloads.
Strategic context
AI-supported assessment from the existing company research; distinguish interpretation from sourced facts.
Snowflake is a US-based public enterprise software company that provides a managed cloud data platform for storing, processing, governing, sharing, and analysing data across cloud environments. Its platform is used by enterprise data teams, developers, AI engineers, advertisers, publishers, and other business users to run analytics, data engineering, machine learning, and privacy-safe collaboration workloads without operating underlying infrastructure themselves. The company generates revenue primarily through consumption-based pricing, charging customers for compute, storage, and related platform services used across its core platform and adjacent products such as clean rooms, marketplace distribution, and AI capabilities. Snowflake’s customers are predominantly large enterprises and data-intensive organisations, and its value proposition centres on unifying data workloads, reducing operational complexity, and enabling governed collaboration across organisations.
Company news briefing
Briefing updated:
Snowflake has expanded its enterprise AI capabilities on Cortex AI with the integration of Claude Opus 5.5 and Kimi K3, alongside the introduction of dynamic model routing to improve AI economics. These platform enhancements build upon the company's previous strategic acquisitions of Observe and Natoma Labs, supported by strong second-quarter financial results reporting total revenue of $1.55 billion. The continuous rollout of advanced model integrations underscores Snowflake's ongoing focus on scaling high-performance machine learning infrastructure.
Business model & monetisation
Snowflake monetises mainly through consumption-based pricing. Customers buy usage through credits tied to compute, storage, data processing, and AI-related workloads, either on demand or through annual capacity commitments. It also monetises adjacent platform activity through marketplace-related transactions and provider monetisation models, while the broader commercial structure remains enterprise software sold on recurring contracts with variable usage expansion.
- Core platform compute, storage, and data services
- Consumption-based credits and capacity commitments
- AI inference and managed AI workloads
- Usage-based platform consumption
- Data clean room workloads
- Platform consumption within enterprise contracts
- Marketplace-related monetisation
- Provider monetisation and billed marketplace transactions
Products & capabilities
No products with linked sources are available in this view.
Products & market categories
Competitors & alternatives
- Amazon Web Services (AWS)
Cloud infrastructure, platform and AI services for enterprises and developers.
- Oracle
Enterprise cloud infrastructure and customer experience software provider.
- Hitachi
Industrial and enterprise technology group selling software, infrastructure and services.
- VAST Data
Unified AI data platform for enterprise storage, database and orchestration.
- Palantir
Enterprise software for operational data integration, analytics and AI deployment.
Side-by-side comparisons
Recent recorded signals
Dates refer to the source publication. Older entries are historical context, not evidence of a new event.
AI in IT: 89% report productivity gains, but disparities persist
AI · Recorded impact score: 2/5
A new survey by Snowflake, involving 200 data and IT professionals from companies with over 500 employees, including 150 from Germany, reveals that 85% of respondents use AI daily. 89% report increased productivity and 87% say AI saves time rather than creating extra work. However, the benefits are uneven: 68% of executives feel a noticeable relief, compared to only 55% of non-managerial staff. Conversely, 20% of individual contributors say AI has increased their daily workload, versus 11% of executives. Looking ahead, 89% believe AI will further improve their company's working methods in the next two years. Snowflake's Germany Country Manager, Jonah Rosenboom, emphasizes that merely introducing AI tools is insufficient; companies must address foundational systems to fully realize AI's benefits.
- 85% of surveyed IT professionals use AI daily.
- 89% report increased productivity from AI, 87% say it saves time.
Zoom's Marketing Rebuild: Beyond Pandemic Fame
Marketing Strategy · Recorded impact score: 2/5
At AdExchanger's Programmatic IO, Zoom's VP of brand and content, Josh Reed, discussed the company's marketing overhaul. Despite 99% unaided brand awareness, Zoom is pigeonholed as a video call app. Reed highlighted the 'iceberg' problem: being known for one thing while other products like contact center, events platform, VoIP, and AI tools remain invisible. Under CMO Kim Storin, Zoom consolidated marketing functions, expanded into linear TV, creator partnerships, and affiliate marketing. They launched the Solopreneur 50 program and are experimenting with commission-based creator models. Measurement is shifting from last-touch to multi-touch attribution using Snowflake as a data spine. Zoom is also adapting to the 'dark funnel', where B2B research starts in LLMs and AI chatbots, requiring a new approach to meet buyers where they are.
- Zoom has 99% unaided brand awareness, but is mostly known for video calling.
- Josh Reed, VP of brand and content, spoke at AdExchanger's Programmatic IO in NYC on the marketing challenge.
8-K Financial Filing Analysis for Snowflake (2026-10-02)
financials · Recorded impact score: 4.2/5
On September 28, 2026, Snowflake Inc. completed a private offering of $3.75 billion aggregate principal amount of 0.00% Convertible Senior Notes, consisting of $2.0 billion due 2029 and $1.75 billion due 2031. Net proceeds were approximately $3.70 billion (expandable to $4.24 billion upon full exercise of initial purchasers' options to buy up to $550 million in additional notes). Snowflake deployed approximately $383.5 million to enter into capped call transactions with an initial cap price of $820.30 (a 150% premium over the reference price) to minimize dilution, and used $548.3 million to repurchase a portion of its outstanding 0.00% convertible senior notes due 2027. Remaining proceeds are allocated toward general corporate purposes, potential stock repurchases, and strategic investments or acquisitions.
- Snowflake issued $2.0 billion of 0.00% Convertible Senior Notes due 2029 (conversion price ~$500.38) and $1.75 billion due 2031 (conversion price ~$483.98), with a 13-day option for initial purchasers to acquire up to $550 million in additional notes.
- Net proceeds totaled approximately $3.70 billion, with $383.5 million allocated to capped call transactions (initial cap price $820.30 per share) and $548.3 million used to repurchase existing 0.00% convertible notes due 2027.
Experian Expands Snowflake Data Services for Customer Insights
Data & Identity · Recorded impact score: 3/5
Experian, a global data and analytics company, has expanded its suite of services available on the Snowflake Data Cloud. The new offerings aim to help businesses unlock greater value from their customer data, leveraging Experian's data assets and analytics capabilities within Snowflake's collaborative environment. While the article is brief and lacks specific details about the exact services, integrations, or technical capabilities introduced, the move underscores the growing trend of data providers integrating with cloud data platforms to enable privacy-compliant audience targeting and data enrichment directly within the enterprise data ecosystem. This partnership is significant for marketers and advertisers seeking to activate and analyze first-party data within their existing cloud infrastructure.
- Experian expands its range of services in Snowflake.
- The expanded services help businesses unlock value from customer data.
Snowflake Blog: Latest AI Model Announcements and Product Updates
Recorded impact score: 4/5
Snowflake announced new AI models on Cortex AI: Claude Opus 5.5, Claude Sonnet 5.5, GPT-6 Sol and Luna, and Kimi K3. Also introduced Agent Observability for AI performance, and Elastic Channels supporting up to 20 GB/s.
Careers & open positions
Open positions indexed from verified career portals and applicant tracking systems.
| Position | Department | Location | Posted |
|---|---|---|---|
| Senior Director of Engineering – Horizon Catalog, Collaboration & Marketplace(Director) | Engineering | US-CA-Menlo Park | |
| Solution Engineering Enablement, Principal(Lead) | Marketing | AU-Sydney | |
| Staff Cloud Support Engineer(Lead) | Global Support | US-CA-Dublin | |
| Staff Escalation Manager(Lead) | Global Support | CA-Ontario-Toronto | |
| Sr. Engagement Manager(Unspecified) | Professional Services | SG-Singapore |
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Questions about Snowflake
What is Snowflake?
Snowflake is a public enterprise software company that provides a managed cloud data platform for analytics, data sharing, clean rooms, developer workflows, and AI workloads.
Who uses Snowflake?
It is used mainly by enterprise data teams, engineers, analytics teams, developers, AI teams, and in some cases advertisers, publishers, and data partners using clean room capabilities.
How does Snowflake make money?
Snowflake makes money primarily through consumption-based pricing, charging customers for platform usage such as compute, storage, data processing, and AI-related workloads, alongside marketplace-related monetisation.
Sources & coverage
This profile uses public, official and technically observable information. Missing information does not prove that a product or relationship does not exist. The list below does not imply that every profile statement has been verified.
19 publicly documented primary sources and citations linked across the market graph.
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