In-house experts can help you deploy with confidence
Implement, realize and scale the best of what the Snowflake AI Data Cloud offers with our experienced professional services team.
Why Snowflake
Easy. Connected. Trusted.
Leading enterprises rely on the AI Data Cloud to power the end-to-end data lifecycle, from ingestion to sharing, so they can innovate faster and do more with their data.
354 %
Reported ROI by companies that use Snowflake for their data¶
766
The number of Forbes Global 2000 companies that use Snowflake1
EASY
One platform to enable what’s possible with data, apps and AI
From effortless onboarding and operations, to low maintenance management, to easy-to-optimize savings, Snowflake provides a single, fully-managed platform for all your data.
Easily migrate to a modern platform
Whether moving from on-premises to the cloud or between clouds, Snowflake helps you have a seamless migration journey — from any source.
CONNECTED
Don’t sink time building and maintaining pipelines. Share data at speed instead.
With a platform that’s interoperable out of the box, sharing across clouds is lightning fast.
Advertising, Media & Entertainment
Merkle Improves Customer Experiences While Providing Data Governance and Security
Merkle, a dentsu company, consolidates sensitive data and collaborates with clients in Snowflake, resulting in a more efficient, trusted data environment that expedites data access and reduces risk.
- 64% faster data development cycle
- 20% estimated cost savings
Pfizer accelerates insights and processes data 4x faster with Snowpark
By migrating to Snowflake, this pharma giant has unified business units with greater access to insights and seamless data sharing — all while reducing total cost of ownership (TCO).
- 19K annual hours saved, thanks to faster data processing
- 57% reduction in TCO vs. previous solution
"With Snowflake, I can empower smart people to bring AI to life in one place. Cortex is a one-stop shop. It scales, it's easy, and the data stays 100% in Snowflake's environment"
Thomas Bodenski
COO & Chief Data & Analytics Officer, TS Imagine
- 30% cost reduction by using Snowflake Cortex AI vs. other top external pretrained LLM APIs
- 4k hours per year saved, previously spent on manual email monitoring tasks
Trusted
Stay safe, compliant and in control withbuilt-in governance and always-on security
Snowflake services and accounts are designed for security, lowering the risk of vulnerabilities and breaches with features that help customers configure comprehensive levels of security for their data and users.
Snowflake Compliance Certifications include:
Why Snowflake
Frequently Asked Questions
What cloud platforms does Snowflake run on?
Snowflake is a cloud-agnostic platform and runs on the three major public cloud providers:
- Amazon Web Services (AWS)
- Microsoft Azure
- Google Cloud Platform (GCP)
This gives you the flexibility to choose the cloud provider that best suits your strategy.
What’s the pricing model?
Snowflake uses a flexible, consumption-based pricing model. Costs are based on two main components:
Compute: For compute resources, Snowflake employs a consumption-based model.
Storage: Storage costs are based on the amount of data (measured in terabytes per month) stored within Snowflake.
This model allows you to scale resources independently and optimize costs. Learn more about Snowflake pricing.
Does Snowflake work across clouds and regions?
Yes, Snowflake offers a multi-cloud and cross-region experience. It runs on major cloud platforms (AWS, Azure and Google Cloud) across numerous global regions, providing flexibility, seamless data sharing and replication capabilities independent of the underlying cloud.
Does Snowflake offer built-in security and governance?
Snowflake has robust, enterprise-grade security and governance features built-in. This includes end-to-end encryption, granular role-based access control (RBAC), network policies, multi-factor authentication and comprehensive data governance capabilities (like data masking, tagging and access history) often managed through Snowflake Horizon Catalog.
Does Snowflake have built-in support for AI/ML?
Yes, Snowflake provides strong built-in support for AI and machine learning. Through Snowflake Cortex, you can access large language models (LLMs) and other AI-powered functions. Additionally, Snowpark ML allows users to build, train and deploy custom ML models using Python within Snowflake, keeping data secure and integrated.
Where can I learn about how customers are using Snowflake’s features?
You can visit our customer stories page or Inside the AI Data Cloud, the Snowflake blog, to read about customer success stories, case studies and use case examples.
How to get started with the Snowflake platform?
Getting started with Snowflake is easy:
- Sign up for a free trial: Snowflake offers a 30-day free trial which includes free credits, allowing you to explore its features
- Explore quickstart guides: Snowflake provides hands-on tutorials that walk you through setting up your environment, loading data, performing various analytical tasks, from basic querying to more advanced analytics
- Join the community: Use Snowflake’s active community forums to learn best practices and get answers to your questions
