Comparisons // Cloud Data Warehouses
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BigQuery vs Amazon Redshift: Cloud Data Warehouses Comparison

VerdictBigQuery for serverless analytics in Google Cloud; Amazon Redshift for AWS-centric analytics.

Compare BigQuery and Amazon Redshift for cloud data warehouses: pricing, licensing, hosting, pros, cons and which one fits your team.

Built from the StackVersus tool catalog: structured pricing models, licensing, hosting and editor-curated pros and cons. Last reviewed Oct 9, 2026. Spotted something out of date? Send a correction.

Updated Oct 9, 20262 min read380 wordsIntermediatePopularity 81/100
Serverless analytics in Google CloudAWS-centric analytics

BigQuery vs Amazon Redshift: Head-to-Head Comparison

Quick Verdict

BigQuery is the better pick for serverless analytics in Google Cloud. Amazon Redshift is the better pick for AWS-centric analytics.


At a Glance

FeatureBigQueryAmazon Redshift
Best ForServerless analytics in Google CloudAWS-centric analytics
PricingFree tier, then usage-based pricingPay-as-you-go usage pricing
Free to StartYesNo
LicenseProprietaryProprietary
DeploymentManaged cloudManaged cloud
LinkVisit BigQueryVisit Amazon Redshift

Detailed Breakdown

BigQuery

Google Cloud’s serverless data warehouse

Pros:

  • Fully serverless
  • Built-in ML with BigQuery ML
  • Free monthly query tier

Cons:

  • On-demand pricing per bytes scanned
  • Google Cloud centric

Amazon Redshift

AWS cloud data warehouse

Pros:

  • Deep AWS integration
  • Serverless option
  • Mature SQL warehouse

Cons:

  • Provisioned clusters need tuning
  • AWS only

Key Differences

  • Positioning: BigQuery — Google Cloud’s serverless data warehouse. Amazon Redshift — AWS cloud data warehouse.
  • Both share the same licensing model (proprietary), so the decision comes down to features and workflow fit.
  • BigQuery can be started for free, while Amazon Redshift requires a paid plan. Amazon Redshift pricing: pay-as-you-go usage pricing.
  • Signature strength: BigQuery — fully serverless. Amazon Redshift — deep AWS integration.

Frequently Asked Questions

Is BigQuery better than Amazon Redshift?

It depends on your requirements. BigQuery is a strong fit for serverless analytics in Google Cloud, while Amazon Redshift suits AWS-centric analytics.

Is BigQuery free to use?

Yes, you can start with BigQuery for free. Pricing model: Free tier, then usage-based pricing.

Is Amazon Redshift free to use?

Amazon Redshift does not have a permanent free plan. Pricing model: Pay-as-you-go usage pricing.

Can I self-host BigQuery or Amazon Redshift?

BigQuery is offered as a managed service: managed cloud. Amazon Redshift is offered as a managed service: managed cloud.

What are the main drawbacks of BigQuery and Amazon Redshift?

BigQuery: on-demand pricing per bytes scanned; Google Cloud centric. Amazon Redshift: provisioned clusters need tuning; AWS only.

Specification Matrix

The matrix is generated from the pros/cons in the article.

Frequently Asked Questions

Is BigQuery better than Amazon Redshift?

It depends on your requirements. BigQuery is a strong fit for serverless analytics in Google Cloud, while Ama

Is BigQuery free to use?

Yes, you can start with BigQuery for free. Pricing model: Free tier, then usage-based pricing.

Is Amazon Redshift free to use?

Ama

Can I self-host BigQuery or Amazon Redshift?

BigQuery is offered as a managed service: managed cloud. Ama

What are the main drawbacks of BigQuery and Amazon Redshift?

BigQuery: on-demand pricing per bytes scanned; Google Cloud centric. Ama

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