Snowflake vs Starburst

Snowflake excels in data warehousing and analytics with a managed, scalable architecture. Starburst offers unique federated querying… See pricing, features & verdict.

Data Warehouses
Last Updated:

Quick Comparison

Snowflake

Best For:
Data warehousing, analytics, and data sharing across multiple clouds.
Architecture:
Separates storage and compute resources for scalable performance. Runs on AWS, Azure, and GCP.
Pricing Model:
Standard (1-10 users): $89/mo; Enterprise: custom
Ease of Use:
Highly user-friendly with a familiar SQL interface and managed services.
Scalability:
Fully scalable to handle large datasets and high concurrency.
Community/Support:
Strong community support, extensive documentation, and paid support options.

Starburst

Best For:
Federated queries across multiple data sources including data lakes, warehouses, and databases.
Architecture:
Built on Trino (formerly PrestoSQL), supports federated querying without moving data.
Pricing Model:
Free tier (10 users), Pro $29/mo
Ease of Use:
Moderate ease of use, requires some setup but offers a unified query interface.
Scalability:
Highly scalable, supports distributed querying across various data sources.
Community/Support:
Active community support with open-source contributions and paid enterprise support options.

Interface Preview

Starburst

Starburst interface screenshot

Feature Comparison

Querying & Performance

SQL Support

Snowflake
Starburst⚠️

Real-time Analytics

Snowflake⚠️
Starburst⚠️

Scalability

Snowflake
Starburst⚠️

Platform & Integration

Multi-cloud Support

Snowflake⚠️
Starburst⚠️

Data Sharing

Snowflake⚠️
Starburst⚠️

Ecosystem & Integrations

Snowflake⚠️
Starburst⚠️

Legend:

Full support⚠️Partial / LimitedNot supported

Our Verdict

Snowflake excels in data warehousing and analytics with a managed, scalable architecture. Starburst offers unique federated querying capabilities across various data sources without moving data.

When to Choose Each

👉

Choose Snowflake if:

When you need robust data warehousing and analytics services on multiple clouds.

👉

Choose Starburst if:

If your use case involves federated queries across different data sources without the need to move or replicate data.

💡 This verdict is based on general use cases. Your specific requirements, existing tech stack, and team expertise should guide your final decision.

Frequently Asked Questions

What is the main difference between Snowflake and Starburst?

Snowflake focuses on managed data warehousing with separate storage and compute, while Starburst provides federated querying across various data sources.

Which is better for small teams?

Small teams might prefer Starburst due to its freemium model and lower entry cost, whereas Snowflake may be more suitable for larger datasets and complex analytics.

Can I migrate from Snowflake to Starburst?

Migration would depend on the specific data requirements and architecture. It's possible but requires careful planning and consideration of data movement and query patterns.

What are the pricing differences?

Snowflake uses a usage-based model starting at $2/credit, while Starburst offers a freemium model with paid tiers starting at $5/core/hour.

📊
See both tools on the Data Warehouses landscape
Interactive quadrant map — Leaders, Challengers, Emerging, Niche Players

Explore More