- Specialization
Data Engineeringand 1 more specialization valuesLess
- Distributed Computing
- Business
Software Applicationsand 2 more business valuesLess
- Compute Hosting
- Professional Services
- Market
Cross Industryand 1 more market valuesLess
- Software Development
- Ecosystem
- Not classified
- Customers
Enterprisesand 1 more customers valuesLess
- Developers
More details
- Organization type
- Commercial Company
- Ecosystem
- Not classified
- Business
- Software Applications, Compute Hosting, Professional Services
- Specialization
- Data Engineering, Distributed Computing
- Market
- Cross Industry, Software Development
- Customers
- Enterprises, Developers
- Delivery models
- Hosted Software, Managed Compute, Professional Services
- Revenue models
- Usage Based, Services Fees
- Listing status
- Not classified
- Latest equity round
- Series E Plus
- Reported funding amount
- $1B+
About
Snowflake builds a cloud-based AI Data Cloud for enterprise data warehousing, engineering, analytics, applications, collaboration, and artificial-intelligence workloads. It sells primarily to organizations that need to unify, govern, share, and activate data across AWS, Microsoft Azure, and Google Cloud; its differentiation is a scalable, multi-cloud architecture with consumption-based economics and broad data and AI capabilities.
Market
Snowflake competes in the cloud data warehouse and broader enterprise data-platform market, positioning its AI Data Cloud as a unified foundation for data engineering, analytics, applications, and AI. It differentiates through separated storage and compute, multi-cloud deployment across AWS, Azure, and Google Cloud, and Cortex capabilities that place LLMs, multimodal analysis, agents, governance, and observability alongside data inside a secure perimeter. Its open Arctic model family adds an openness and model-choice angle to the platform.
Snowflake targets enterprise-scale organizations across industries and regions that need a governed data foundation and want to scale analytics and AI. Its likely buyers and users are data, analytics, data-engineering, and AI-strategy leaders, including CTO/CDO organizations and platform teams.
At a Glance
Problem
Enterprises often struggle with fragmented data, disconnected systems, and the difficulty of turning growing volumes of structured, semi-structured, and unstructured information into trusted business value. Snowflake addresses the resulting need for a single source of truth that can support analytics, artificial intelligence, data applications, and secure data sharing while reducing the operational burden of managing separate data infrastructure. The central economic pain is that organizations otherwise have to provision and maintain multiple systems, move data between silos, and pay for capacity they may not consistently use.
The main or “killer” use case is consolidating enterprise data into a governed environment where teams can query it, derive insights, build AI solutions, and share data products without creating new silos. This is increasingly important as companies seek to apply generative AI to their own business data rather than treating AI as a standalone application.
Product / Service
Snowflake provides a fully managed, cloud-based data platform—the AI Data Cloud—delivered through a customer-centric consumption model in which customers pay for the resources they use. Its serverless and managed architecture can scale workloads dynamically, supports structured, semi-structured, and unstructured data, and enables data to be shared across customers, partners, developers, providers, and consumers within secure, governed, and compliant workflows.
The platform combines data warehousing, data engineering, sharing, applications, and AI services in one environment. Snowflake Cortex AI adds managed large language models, retrieval-augmented generation, text-to-SQL, and unstructured-data analysis, allowing organizations to build generative-AI applications closer to their governed enterprise data. The intended benefit is faster data and AI innovation with less infrastructure management and better connectivity across an organization’s data estate.
Market
Snowflake competes in the cloud data platform, enterprise data warehousing, and data-and-AI infrastructure markets. Its AI Data Cloud positioning places it alongside offerings such as Amazon Redshift, Google BigQuery, Databricks, and Microsoft Synapse, which compete across overlapping analytics, data engineering, warehousing, and AI workloads. The category is differentiated less by a single database feature than by scalability, multi-cloud access, governance, sharing, workload economics, and the ability to run AI on enterprise data.
Snowflake is an established commercial company rather than a pre-revenue entrant. Its official materials say thousands of organizations worldwide rely on the platform, and its consumption-based model is designed to monetize customer usage as workloads expand. As an additional indicator of scale, Snowflake’s reported market capitalization was approximately $103.32 billion as of July 2026, although market capitalization is a market signal rather than a measure of operating performance.
Founders & Leadership
Funding History
Sutter Hill Ventures
Sutter Hill Ventures
Redpoint Ventures, Wing Venture Capital, Sutter Hill Ventures
Altimeter Capital
ICONIQ Growth
Capital One Ventures
Altimeter Capital, Sequoia Capital, ICONIQ Growth
Sequoia Capital
Dragoneer Investment Group, Salesforce Ventures
Recent News
Honeydew’s August 2026 product update added workspace publishing to Atlan as semantic assets, including lineage through warehouse columns. It also added an ADAPTIVE refresh mode and initialization-warehouse setting for dynamic datasets deployed as Snowflake Dynamic Tables.
UiPath and Snowflake announced an expanded partnership providing a two-way integration between Snowflake’s governed data platform and UiPath’s business orchestration and automation platform. The integration lets customers use Snowflake data in UiPath automations and trigger automations from Snowflake without copying data between the systems.
LSEG and Snowflake announced an expanded five-year, enterprise-wide collaboration to connect trusted financial data with cloud-native AI workflows. The announcement describes the collaboration as bringing LSEG’s financial data together with Snowflake’s platform for use in AI workflows.
Snowflake priced $3.75 billion of 0.00% convertible senior notes: $2.0 billion due in 2029 and $1.75 billion due in 2031, upsizing the offering from $3.5 billion. The company said proceeds would go toward capped-call transactions, repurchasing some existing notes, and general corporate purposes.
Liquibase announced that Liquibase Secure was available on Snowflake Marketplace on September 23. The release says Snowflake customers can use it to automate and govern database changes from development through production.
On September 22, AlphaSense announced a strategic integration with Snowflake. The native, read-only connector lets joint customers query governed Snowflake data through Cortex capabilities and analyze it alongside AlphaSense content, while Snowflake remains the system of record for proprietary data.
Snowflake published its September 'Snow Report' highlighting three product capabilities reaching general availability — including Per-User Quotas GA — along with new AI cost controls and the opening of registration for Expedition 2026.
Snowflake announced the most comprehensive update to the Snowflake Partner Network in years, taking effect November 2, 2026. The update expands build resources for partners (including up to 5x demo/development credits for Services partners and a new CoCo Foundational Accreditation), while requiring Elite Data Cloud Product partners to embed Cortex AI capabilities and meet higher bars around Snowflake CoCo, CoWork, and Cortex AI adoption. Live partner webinars were scheduled for September 16-17, 2026.
Tieto announced that it achieved Premier Partner status in the Snowflake AI Data Cloud Services Partner Program. The expanded partnership creates opportunities for closer collaboration on customer assessments, proofs of concept, cloud deployments, and joint go-to-market activities.
Snowflake reported financial results for the second quarter of fiscal 2027 (ended July 31, 2026), with revenue of $1.55 billion, up 35% year-over-year (product revenue of $1.49 billion, up 37%), net revenue retention of 126%, and adjusted EPS of $0.62, beating Wall Street expectations; shares jumped roughly 22% on the report.
Sayari announced that it selected Snowflake to rebuild its Commercial World Model, which maps companies, ownership structures, people, and trade relationships. The rebuilt platform will use more than a decade of data comprising 12 billion records from 715 sources across 250 jurisdictions and is expected to reduce Sayari’s data-infrastructure costs by more than 50%.
CrowdStrike announced a collaboration with Snowflake to make the Falcon platform available through Snowflake Marketplace. Snowflake customers will be able to use pre-committed capacity to procure Falcon, connecting security and data operations at enterprise scale.
Estuary announced that it had achieved Premier partner status with Snowflake. Snowflake’s partner directory also identifies Estuary Technologies as a Snowflake Premier Services Partner for data engineering.
Snowflake announced dynamic model routing within Cortex AI Gateway and its flagship AI products, alongside expanded access to leading open models. The capability routes simpler workloads to more efficient models and deeper-reasoning tasks to frontier models, while extending across Snowflake CoCo, Snowflake CoWork, and third-party AI agents to help control inference costs.
The SAP Business Data Cloud Zerocopy Connector became generally available, enabling zero-copy data sharing between SAP Business Data Cloud and Snowflake without moving the data.
Snowflake announced a definitive agreement to acquire Observe. The deal is intended to combine Observe’s AI SRE and open-standard observability architecture with Snowflake’s data platform; closing remained subject to regulatory approvals and customary conditions.
Snowflake and Anthropic announced a multiyear, $200 million partnership to bring Anthropic’s Claude models and agentic AI capabilities to enterprises through Snowflake’s AI platform.
Active Roles
359Business Model
Snowflake primarily earns product revenue from customers' consumption of compute, storage, and data-transfer resources on its platform, rather than recognizing fixed subscription fees ratably. Professional services and other revenue provide a smaller secondary stream; in fiscal 2026, product revenue represented 95% of total revenue and professional services and other revenue represented 5%.
Products
Customers
Tech Stack
Similar Companies
Competitors
Key Investors
Dragoneer Investment Group; Salesforce Ventures; Altimeter Capital; Sequoia Capital; ICONIQ Growth; Redpoint Ventures; Capital One Ventures; Meritech; Wing Venture Capital