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Adobe

DO MOREWITH SNOWFLAKE

From ingesting and processing data to analyzing and modeling it, to building and sharing data and AI applications, Snowflake helps you innovate faster and do more with your data.

Connect with us

Adobe, connect with your dedicated Snowflake team!

Contact your Snowflake Team

Your Snowflake Team

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Vy Luu, Account Executivevy.luu@snowflake.com
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Umesh Patel, Principal Solutions Engineerumesh.patel@snowflake.com
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Carlos Camacho Ibanez, Sales Development Representativecarlos.camachoibanez@snowflake.com

One platform to enable what’s possible with data

Easily analyze your unstructured data, build data agents and create ML workflows using a comprehensive suite of AI services, all within the same secure and governed environment as your data.

ai data cloud

Single-EngineArchitecture

unified data

Unified Data

Centralize unstructured, semi-structured, and structured data together for unsiloed access across clouds, on-prem, and open source.

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All Workloads. One Engine

Power complex data pipelines, large-scale analytics, feature engineering, interactive applications, and more, all with one engine.

elastic

Elastic at Scale

Instantly and cost-efficiently scale to handle virtually any number of concurrent users and workloads, without impacting performance.

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Built for Developers

Snowflake delivers flexible, extensible, and powerful ways to program with data– from robust SQL support to the Snowpark developer framework for Python, Java, and Scala.

Fully Managed Service

Snowflake is delivered as a fully managed service with built-in performance optimization, automatic tuning, ACID compliance, and Time Travel — eliminating operational complexity and reducing risk.

Use cases

Turn data into intelligence with AI

Data Agents

Unstructured Data Analytics

ML Workflows

Pipeline Lifecycle

Ingestion

Talk with your data

Build agents and conversational apps grounded in enterprise data

  • Get accurate answers to your business questions with an easy-to-use, intuitive interface.

  • Efficiently build data agents for document analysis, multimodal data processing and contextual information synthesis. 

  • Access all your enterprise data — both structured and unstructured — with scalable and reliable retrieval powered by Cortex Analyst and Cortex Search.
Explore data agents

Efficiently process text and multimodal data at scale

Analyze batch data within Snowflake’s secure perimeter

  • Easily manage unstructured data processing workflows.

  • Efficiently analyze text, documents and other media at scale with Snowflake's multimodal AI capabilities.

  • Access industry-leading LLMs from providers such as Anthropic (Claude) and Meta (Llama) within Snowflake’s secure perimeter.
Explore the use case
Data and AI Platform Diagram-New

Streamline ML development and production

Accelerate end-to-end machine learning workflows

  • Develop, deploy and monitor ML features and models at scale with a fully integrated platform that brings together tools, workflows and compute infrastructure to the data.

  • Develop models faster with Notebooks using a container-based runtime that distributes data loading and model training on GPUs. 

  • Serve models trained anywhere for inference with Snowflake Model Registry.

Explore the use case
ML Workflows unified governance diagram-NEW

Enable reliable data movement

Build, deploy and optimize data pipelines faster

  • Streamline the entire pipeline lifecycle and quickly adopt new data engineering practices — or merge with existing workflows. 
  • Democratize data engineering with Snowflake’s end-to-end workflows, which include  a growing set of native capabilities and tight integrations with open standards and data engineering-specific tools. 
Build better data pipelines
snowflake for data engineering

Connect from any source

Handle data ingestion built for AI and interoperability

  • Unlock seamless data ingestion. Connect any data source into one unified platform, whether structured, unstructured, batch or streaming. 
  • Power your AI initiatives with near real-time, bi-directional data flows. 
  • Adapt to any data architecture, ensuring enterprise-grade reliability and governance, with Snowflake’s open and extensible solutions. 
Learn more about Openflow

Pipeline Lifecycle

Open Lakehouse

AI & Unstructured Data

Ingestion

Developer Experience

Enable reliable data movement

Build, deploy and optimize data pipelines faster

  • Streamline the entire pipeline lifecycle and quickly adopt new data engineering practices — or merge with existing workflows. 
  • Democratize data engineering with Snowflake’s end-to-end workflows, which include  a growing set of native capabilities and tight integrations with open standards and data engineering-specific tools. 
Build better data pipelines
snowflake for data engineering

Centralize data storage in open format

Build or seamlessly integrate your open lakehouse

  • Take advantage of flexible open source standards to build your open lakehouse faster, while still getting the reliability and security of the AI Data Cloud. 
  • Seamlessly integrate with existing lakehouse architectures or build with an open lakehouse format from the ground up, breaking down data silos and getting to value faster
Accelerate your open lakehouse
snowflake data engineering diagram

Innovate with AI

Unlock the potential of even the most advanced AI use cases

  • Access and process an array of unstructured and semi-structured data with an open, flexible architecture. 
  • By simplifying the complexities of data engineering across the entire pipeline, Snowflake makes it surprisingly easy to build generative AI applications, enable AI agents with near real-time data flows and more. 
Learn more about AI
ticket sales trend analysis request screenshot

Connect from any source

Handle data ingestion built for AI and interoperability

  • Unlock seamless data ingestion. Connect any data source into one unified platform, whether structured, unstructured, batch or streaming. 
  • Power your AI initiatives with near real-time, bi-directional data flows. 
  • Adapt to any data architecture, ensuring enterprise-grade reliability and governance, with Snowflake’s open and extensible solutions. 
Learn more about Openflow

Developer Experience

Manage delivery of your AI data foundation

  • Focus more efficiently on your work with developer productivity tools like native development environments, Git integration and observability views and alerts.
  • DevOps in Snowflake allows you to streamline and automate the software development lifecycle for all your Snowflake environments. 
Explore the developer center
A technology stack diagram of the Snowflake Python Developer Ecosystem, including ingestion, transformation, delivery processes on the dev experience and devops elements.

Resources

Discover more about the Snowflake AI Data Cloud

* Private preview, † Public preview, ‡ Coming soon