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Brief
Snowflake

Snowflake

Data Infrastructure & Cloud Analyticssnowflake.com

Snowflake's Data Cloud enables organizations to unify, share, and analyze data across clouds and organizational boundaries at scale, powering privacy-safe collaboration and real-time insights without data silos.

Last updated Jun 23, 2026 by ATDb automated enrichment · Connections updated Jul 9, 2026

Founded
2012
HQ
Bozeman, Montana, United States
Connections
396

At a glance

Employees
5001-10000
Funding
$3.4B (IPO)
Revenue
$3B–$4B annually
Stock
SNOW
327integrations8competitors10corporate family1partners5acquisitions

About

Market leader in cloud data warehousing and a foundational platform for data clean rooms and privacy-safe advertising infrastructure

Snowflake is a cloud-based data platform founded in 2012 that has become one of the most significant infrastructure players in the modern data ecosystem. Its core offering is a fully managed, multi-cloud data warehouse that separates compute from storage, enabling organizations to scale each independently and pay only for what they use. Snowflake runs natively on AWS, Microsoft Azure, and Google Cloud Platform, allowing seamless data sharing and collaboration across cloud environments without data movement. In the AdTech and marketing ecosystem, Snowflake plays a critical enabling role as the backbone for data clean rooms, audience segmentation, identity resolution, and cross-platform measurement. Its Data Cloud concept allows advertisers, publishers, data providers, and agencies to securely share and collaborate on data without copying it, making it foundational to privacy-safe advertising workflows. Major AdTech players including The Trade Desk, LiveRamp, Nielsen, and Epsilon have built integrations or clean room solutions on top of Snowflake. Snowflake went public in September 2020 in one of the largest software IPOs in history, raising approximately $3.4 billion. The company serves thousands of enterprise customers globally across financial services, healthcare, retail, media, and advertising. With its Snowpark developer framework, Native Apps marketplace, and expanding AI/ML capabilities, Snowflake continues to evolve from a data warehouse into a broader data application platform, positioning itself as essential infrastructure for the data-driven advertising industry.

Business model

SaaS / Usage-based

Target market

Enterprise

What they offer

  • Snowflake Data Cloud

    Core multi-cloud data warehousing and analytics platform with separated compute and storage architecture

  • Data Clean Rooms

    Privacy-preserving environment for secure data collaboration between advertisers, publishers, and data providers

  • Snowpark

    Developer framework enabling data engineers and scientists to build data pipelines and ML models directly in Snowflake using Python, Java, or Scala

  • Snowflake Marketplace

    Data marketplace for discovering, purchasing, and sharing live data sets from third-party providers without data movement

  • Native Apps Framework

    Platform for building and distributing data applications that run within customers' Snowflake environments

  • Cortex AI

    Suite of AI and ML capabilities including LLM functions, vector search, and document AI built natively into Snowflake

  • Unistore / Hybrid Tables

    Transactional and analytical workload support within a single platform

  • Dynamic Tables

    Declarative data pipeline feature for automated, incremental data transformations

Key features

Separation of compute and storage for independent scalingMulti-cloud support across AWS, Azure, and Google CloudSecure data sharing without data movement or copyingZero-copy cloning for instant data duplicationTime Travel for historical data access and recoveryAutomatic query optimization and concurrency handlingNative support for semi-structured data (JSON, Avro, Parquet)Data clean room capabilities for privacy-safe collaborationSnowpark for Python, Java, and Scala developmentBuilt-in AI/ML with Cortex AI functions

Use cases

Data clean rooms for privacy-safe audience collaborationCross-publisher advertising measurement and attributionFirst-party data activation and audience segmentationIdentity resolution across advertising platformsReal-time bidding data analysis and campaign optimizationCustomer 360 and unified marketing data platformsThird-party data enrichment via MarketplaceRetail media network data infrastructureMarketing mix modeling and incrementality testingRegulatory-compliant data sharing between brands and agencies

Customer segments

Enterprise advertisers and brandsPublishers and media companiesAdTech platforms and DSPs/SSPsData providers and data brokersAdvertising agencies and holding companiesRetail media networksFinancial services firmsHealthcare and life sciences organizationsTechnology companies

Tech & specs

Technology stack

Cloud-native architecture (AWS, Azure, GCP)Columnar storage engineMassively parallel processing (MPP)Python, Java, Scala via SnowparkSQLApache Iceberg supportREST and Python APIsKafka connectorsdbt integrationSpark connector

Security & compliance

SOC 1 Type IISOC 2 Type IIGDPRCCPAHIPAAPCI DSSISO 27001FedRAMPHITRUSTIRAP

Deployment

Cloud

API

Yes

Corporate history
  1. 2012 · Founded
How it came together
20122015201820212024TodaySnowflakeSelect Star2025Truera2024Neeva2023Streamlit2022
Year unknown
  • · acquired
See the full lineage →
Connection details
View Snowflake’s full portfolio (10) See alternatives to Snowflake See integrations with Snowflake (327) See acquisitions by Snowflake (5)

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