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Snowflake AI Data Cloud

Snowflake AI Data Cloud

Cloud Data PlatformDivision· part of Snowflakesnowflake.com

Snowflake AI Data Cloud is a cloud data platform that brings a governed AI control plane to customer data within their own accounts, enabling AI enrichment as part of the analytics workflow rather than a separate pipeline.

Last updated Oct 5, 2026 by the ATDb Editorial Team

Founded
2012
HQ
Bozeman, Montana, United States
Parent
Snowflake
Connections
21

AI-drafted from public sources2 sources cited

At a glance

Employees
5001-10000
Funding
$3.4B+
Revenue
$3B–$4B
Stock
SNOW
20integrations1corporate family
Attribution & AnalyticsCustomer Data PlatformData Management Platform

About

Market leader in cloud data warehousing and multi-cloud data sharing, increasingly positioned as an AI-native data platform for enterprise workloads

Snowflake AI Data Cloud is a cloud data platform that brings a governed AI control plane to customer data within their own accounts, enabling AI enrichment as part of the analytics workflow rather than a separate pipeline. In a marketing context, Snowflake is used to accelerate measurement, analysis, and data activation, provided teams adopt a usage-oriented approach. Campaign results, audience segments, and spend data live within Snowflake, allowing advertising and media teams to connect content signals to performance — including scoring inventory for brand suitability at the scene level and curating content libraries based on what a clip actually contains. For partners who cannot share raw data with each other, Snowflake's Data Clean Rooms enable content-derived signals to be brought into collaborative workflows alongside audience and outcome data, without sending footage to an outside service. Many of the largest names in media and entertainment, including Warner Bros. Discovery, Disney, and Paramount, build on Snowflake. Source 1: twelvelabs.io — TwelveLabs Video Understanding Comes to Snowflake AI ... Source 2: adviso.ca — Expertises - Snowflake AI Data Cloud - Adviso

Business model

Usage-based SaaS

Target market

Enterprise

What they offer

  • Snowflake Data Warehouse

    Fully managed, multi-cluster cloud data warehouse with separation of compute and storage for scalable analytics workloads.

  • Snowpark

    Developer framework enabling data engineers and data scientists to write Python, Java, and Scala code directly within Snowflake.

  • Cortex AI

    Suite of fully managed AI and ML functions built into Snowflake, including LLM-powered features for text analysis, classification, and generation.

  • Snowflake Marketplace

    Data and application exchange where providers list live, governed data products and apps that consumers can access without ETL.

  • Data Clean Rooms

    Privacy-preserving collaboration environment enabling multiple parties to run joint analyses on combined datasets without exposing raw data.

  • Snowflake Native Apps

    Framework for building and distributing data applications that run within a customer's Snowflake environment.

  • Snowflake Horizon

    Unified governance, compliance, and observability layer across data, apps, and AI models within the platform.

  • Dynamic Tables

    Declarative data pipeline feature that automatically refreshes materialized results as source data changes.

Key features

Separation of compute and storage for independent scalingMulti-cloud support across AWS, Azure, and Google CloudZero-copy data sharing across organizations without data movementNative AI/ML with Cortex AI and SnowparkPrivacy-preserving clean room collaborationSnowflake Marketplace for live data and app exchangeUnified governance via Snowflake HorizonTime Travel and Fail-safe for data recovery

Use cases

Audience segmentation and activation for digital advertisingPrivacy-safe data collaboration via clean roomsThird-party data enrichment through MarketplaceAttribution and measurement across media channelsCustomer 360 and identity resolutionReal-time and batch analytics at petabyte scaleAI/ML model training and inference on enterprise dataData monetization and productization

Customer segments

Enterprise advertisers and brandsPublishers and media companiesData providers and data brokersAdTech platforms and DSPsFinancial services firmsHealthcare and life sciences organizationsRetail and CPG companiesTechnology companies

Tech & specs

Technology stack

Multi-cloud infrastructure (AWS, Azure, GCP)Columnar storage enginePython / Java / Scala via SnowparkSQLLarge Language Models via Cortex AIApache Iceberg supportREST and GraphQL APIsKafka and Spark connectors

Security & compliance

SOC 2 Type IIISO 27001GDPRCCPAHIPAAPCI DSSFedRAMP (Government tier)

Deployment

Cloud

API

Yes

Explore further

3 views
On the AtlasAttribution & AnalyticsOn the Mapby country + regionOn the GraphNetwork around Snowflake AI Data Cloud