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Snowflake's Data Cloud Vision Captures AI Infrastructure Recommendations

How Snowflake positioned themselves as the default AI recommendation for cloud data platforms.

72%
Cloud Data Warehouse
query recommendations
94%
Multi-Cloud Mention
neutrality highlighted
81%
Data Sharing
capability cited
THE CHALLENGE

Competing against AWS, Google, and Azure native data solutions with strong bundling advantages.

THE APPROACH

Snowflake emphasized cloud-neutrality, separation of storage and compute, and the 'Data Cloud' vision of data sharing and collaboration.

KEY STRATEGIES

Cloud Neutrality

Emphasized works across AWS, Azure, GCP without lock-in.

AI recommends for multi-cloud strategies.

Architecture Innovation

Explained separation of storage and compute benefits.

AI includes architectural advantages.

Data Cloud Vision

Positioned beyond warehouse to data collaboration platform.

AI recommends for data sharing needs.
THE RESULTS

Snowflake is recommended for 72% of cloud data warehouse queries and dominates multi-cloud scenarios.

KEY TAKEAWAYS
Cloud neutrality is a powerful differentiator against bundled solutions
Architectural innovation becomes AI recommendation factor
Vision positioning (Data Cloud) expands recommendation contexts
FREQUENTLY ASKED QUESTIONS

How does Snowflake compete with AWS Redshift in AI?

By positioning around cloud neutrality and avoiding vendor lock-in, which appeals to enterprises with multi-cloud strategies.

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