Snowflake vs Google BigQuery vs Amazon Redshift

Snowflake is the independent, multi-cloud warehouse with the most mature SQL experience and data sharing. BigQuery is Google's serverless warehouse with zero cluster management and native GCP integration. Redshift is AWS's warehouse with the deepest AWS ecosystem integration and a new serverless option. Choose Snowflake for multi-cloud and ecosystem breadth, BigQuery for serverless simplicity on GCP, Redshift for AWS-native teams.

Data Warehouses3-Way Comparison
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Quick Comparison

Snowflake

Best For:
Fully managed cloud data platform with elastic compute and storage separation
Architecture:
Cloud-native
Pricing Model:
Standard (1-10 users): $89/mo; Enterprise: custom
Ease of Use:
Moderate — standard setup and configuration
Scalability:
High — cloud-native auto-scaling
Community/Support:
Documentation and community forums

Google BigQuery

Best For:
Serverless cloud data warehouse with pay-per-query pricing and deep GCP integration
Architecture:
Cloud-native
Pricing Model:
First 1 TB processed per month: free; $5/GB over 1 TB
Ease of Use:
Moderate — standard setup and configuration
Scalability:
High — built for enterprise workloads
Community/Support:
Commercial support included

Amazon Redshift

Best For:
Fast, fully managed cloud data warehouse from AWS
Architecture:
Cloud-native
Pricing Model:
Free tier (3 nodes, 2 TB storage), Pro $299/mo (10 nodes, 30 TB storage)
Ease of Use:
Moderate — standard setup and configuration
Scalability:
Enterprise-grade — petabyte-scale
Community/Support:
Documentation and community forums

Feature Comparison

Querying & Performance

SQL Support

Snowflake
Google BigQuery
Amazon Redshift⚠️

Real-time Analytics

Snowflake⚠️
Google BigQuery
Amazon Redshift⚠️

Scalability

Snowflake
Google BigQuery
Amazon Redshift

Platform & Integration

Multi-cloud Support

Snowflake⚠️
Google BigQuery
Amazon Redshift

Data Sharing

Snowflake⚠️
Google BigQuery
Amazon Redshift⚠️

Ecosystem & Integrations

Snowflake⚠️
Google BigQuery
Amazon Redshift

General

Documentation Quality

SnowflakeGood
Google BigQueryGood
Amazon RedshiftGood

API Availability

Snowflake
Google BigQuery
Amazon Redshift

Community Support

SnowflakeActive
Google BigQueryActive
Amazon RedshiftActive

Enterprise Support

Snowflake
Google BigQuery
Amazon Redshift

Legend:

Full support⚠️Partial / LimitedNot supported

Our Verdict

Snowflake is the independent, multi-cloud warehouse with the most mature SQL experience and data sharing. BigQuery is Google's serverless warehouse with zero cluster management and native GCP integration. Redshift is AWS's warehouse with the deepest AWS ecosystem integration and a new serverless option. Choose Snowflake for multi-cloud and ecosystem breadth, BigQuery for serverless simplicity on GCP, Redshift for AWS-native teams.

When to Choose Each

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Choose if:

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Choose if:

💡 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

Which cloud data warehouse is cheapest?

For sporadic queries, BigQuery on-demand ($6.25/TB) is cheapest. For consistent workloads, Redshift provisioned or Snowflake with commitment pricing are comparable at $2-4/credit-hour. All three offer 30-60% discounts with reserved capacity.

Can I use Snowflake on AWS?

Yes, Snowflake runs on AWS, GCP, and Azure. BigQuery runs only on GCP. Redshift runs only on AWS. Snowflake's multi-cloud support is a key advantage for organizations not locked to a single cloud.

Which is best for a startup?

BigQuery — its serverless model means zero infrastructure management and you only pay for queries. Snowflake is also good with per-second billing. Redshift requires more upfront cluster sizing decisions.

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