
Technology
Use Case
Bring your code to your data. Build faster with AI, deploy and monetize on a unified platform and ship enterprise-ready by default.
Overview
Whether you’re building internal apps or external-facing apps, stop stitching together fragmented services. Develop, deploy and distribute apps on the platform that connects all your data and AI.
Use the languages, frameworks such as Streamlit, Next.js and AI tools you already know. Snowflake handles the rest.
Every app inherits your enterprise security and governance controls automatically. No extra reviews.
SNOWFLAKE APPS ON GOVERNED DATA
App experiences, AI and database foundations all live on one platform, so every layer works together from Day 1.
Streamlit in Snowflake and Snowflake App Runtime give teams a fast and secure path to build internal apps and tools from Python-based data apps to full-stack apps and AI agents. The Native App framework allows you to package, distribute and monetize your app in Snowflake Marketplace.
Cortex AI, Cortex Agents, Snowflake ML and CoCo bring intelligence into every app without moving data to a separate stack.
Hybrid Tables let you build internal enterprise apps without standing up a separate database, while Snowflake Postgres allows you to lift and shift Postgres apps to Snowflake without code changes, bringing apps and analytics onto one platform.

BUILT-IN AI
Go from prompt to deployed app in minutes with Snowflake CoCo that is grounded in Snowflake context, not generic autocomplete.
Call Cortex APIs directly from your app to summarize, classify or chat, or embed a Cortex Agent that reasons over your data and calls your app's tools
Expose any app's data and actions over MCP so agents can discover and use them across your organization.
Turnkey security
Use your existing Snowflake identity, access controls, lineage and auditability. No manual setup or extra security reviews required.
Continuously verify configurations and detect anomalies to support compliance.
Share what you build directly with partners and customers using zero-copy sharing.

use cases
Build KPI dashboards, dynamic analytical reports and data exploration tools over live Snowflake data. Add charts, filters and drill-downs that go beyond static reports, from quick Streamlit dashboards to fully custom interfaces.
Create data entry forms, approval workflows, inventory trackers and multi-step operational tools with a large dataset that read and write governed data with collaborative state and per-user access.
Embed Cortex Agents that reason over your data, call Cortex APIs to summarize, classify or chat, and expose your app's tools over MCP so agents across your organization can discover and use them.
Our Customers
“With reduced latency, our customers have the ability to run hundreds of different scenarios in a very short time. What would have taken our customers many days — if not weeks — is now possible in minutes.”
Gurdip Singh
Chief Product Officer, Blue Yonder

751 of Forbes Global 2000 Companies Use Snowflake*




Snowflake Apps
Have questions about Snowflake Apps? We've got answers. Here are some of the most common questions to help you understand how it works and how you can get started.
Snowflake Apps are data-intensive applications built and deployed on the Snowflake platform. They connect directly to your data, wherever it lives. They are enterprise-ready by default, automatically inheriting Snowflake's security, lineage and access controls. You can build internal apps for your organization or customer-facing apps distributed via the Snowflake Marketplace.
Build with the tools and languages you already know, such as Python, JavaScript, React, Node.js and Streamlit. For containerized workloads, Snowpark Container Services supports any language, including Go and C++. You can also use AI-assisted coding tools like Snowflake CoCo and Vercel v0 to go from a natural language prompt to a deployed app in minutes.
Traditional providers generally require you to stitch together separate services for frontend, compute and databases, increasing data movement risk and integration complexity. Snowflake Apps run where your data already lives, so there's no extra ETL, no duplicate security reviews and no fragmented governance. You get a single platform with built-in billing, deployment, versioning and enterprise-grade security capabilities out of the box.
Yes. With the Snowflake Native App Framework, you can package and distribute full-stack apps to 10,000+ Snowflake customers via the Snowflake Marketplace. Apps run inside the customer's Snowflake account, so their data doesn’t need to leave their perimeter. Plus, you get built-in billing, metering, listings and co-sell motions to scale globally.
Every Snowflake App inherits your existing Snowflake security controls by default. Apps deploy into a pre-approved perimeter with fine-grained isolation and encryption, eliminating the need for separate security reviews per app. The Snowflake Trust Center provides continuous compliance verification and anomaly detection.