PARTNER NETWORK

Power Reliable AI Workflows in Snowflake

Go from AI experimentation to production in Snowflake with confidence. Anaconda delivers secure, governed environments across Snowpark, Notebooks, and beyond — so your teams move faster without sacrificing control.

Secure AI Workflows from Experimentation to Production

Snowflake secures your data platform.
Anaconda secures the AI tooling your teams use everywhere else.

Snowflake secures your data platform. Anaconda secures the AI tooling your teams use everywhere else.

Govern Open Source

Enforce consistent security policies and vulnerability scanning across every environment, not just Snowflake.

Secure Local Development

Give data science teams curated, trusted AI tooling on their desktops and laptops, where most prototyping starts.

Unify Multi-Cloud

Build Once. Run Everywhere. Without Environment Drift. One Trusted AI Foundation Across Clouds and On-Prem

Pass Audits Faster

Enterprise-Grade Compliance for AI Development You Can Deploy Confidently in Regulated Environments

Reclaim Development Time

Stop losing hours to broken environments and dependency conflicts. Pre-configured, portable environments ship ready to go.

Standardize Tooling

Consolidate Python management under one vendor. Simplify procurement, support, and onboarding across business units.

Real Outcomes for Your Industry

See how organizations in regulated industries use Anaconda + Snowflake together.

Fraud Detection & Risk Models

Run risk models in secure, governed on-prem environments with full auditability for financial regulators.

Clinical Data Analysis

Meet data residency and compliance requirements for healthcare and life sciences Python workflows.

Predictive Maintenance

Deploy consistent forecasting models across manufacturing sites running hybrid cloud and on-prem infrastructure.

Model Prototyping to Production

Prototype locally, validate in Snowflake, deploy to any cloud — with the same governed Python stack throughout.

From Snowflake to Everywhere in Three Steps

Already Embedded in Snowflake. Ready to Go Further.
A three-stage diagram showing Anaconda's secure open source package pipeline for Snowflake. Open source authors contribute source code (Stage 1), which Anaconda acquires, rebuilds, validates dependencies, checks compatibility, and tests within its secure infrastructure (Stage 2), then releases to a package repository for delivery to Snowflake engineers and analysts (Stage 3).

See How Anaconda Expands Your Snowflake Investment

Talk to a specialist about securing and governing Python across your full environment. No commitment required.
Request a Demo

Frequently Asked Questions

Snowflake provides access to over 8,000 curated Anaconda packages through the Snowflake Anaconda channel, including pandas, NumPy, scikit-learn, PyTorch, and XGBoost. All packages are security-scanned and tested for compatibility with Snowpark Python. Browse available packages directly in your Snowflake account or visit the Snowflake documentation for a complete list.

No. Anaconda is natively embedded in Snowflake. Snowflake users can access Anaconda’s curated packages through Snowpark and Snowflake Notebooks without a separate Anaconda license. If your teams also work outside of Snowflake on local machines, on-prem servers, or other cloud environments, an Anaconda Platform license gives you the same governed Python experience everywhere.

Every package in the Anaconda repository is scanned for known vulnerabilities (CVEs) and verified for license compliance. Anaconda generates software bills of materials (SBOMs) for any project or environment, provides detailed audit logs, and supports policy enforcement for package access. This is especially relevant for teams in healthcare, financial services, and manufacturing that face strict regulatory requirements.

Yes. Anaconda publishes a dedicated Snowflake channel (repo.anaconda.com/pkgs/snowflake/) that mirrors the exact packages available inside Snowpark. Configure your local conda environment to use this channel, and your code will behave the same in development and production.

The Anaconda Platform is available as a cloud-hosted SaaS, a self-hosted deployment in your AWS VPC, or an on-premises installation. All options include Anaconda Core for Python package management, with AI Catalyst available for organizations that need AI model management and inference capabilities.

If you are already using Snowflake, Anaconda packages are available immediately through Snowpark and Snowflake Notebooks. To extend Anaconda to your local, on-prem, or multi-cloud environments, fill out the form above and our team will walk you through the options.