Comparisons // Cloud Data Warehouses
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BigQuery vs Azure Synapse Analytics: Cloud Data Warehouses Comparison

VerdictBigQuery for serverless analytics in Google Cloud; Azure Synapse Analytics for organizations standardized on Azure.

Compare BigQuery and Azure Synapse Analytics 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 Spotted something out of date?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, 20263 min read425 wordsIntermediatePopularity 73/100
Serverless analytics in Google CloudOrganizations standardized on Azure

BigQuery vs Azure Synapse Analytics: Head-to-Head Comparison

Quick Verdict

BigQuery is the better pick for serverless analytics in Google Cloud. Azure Synapse Analytics is the better pick for organizations standardized on Azure.


At a Glance

FeatureBigQueryAzure Synapse Analytics
Best ForServerless analytics in Google CloudOrganizations standardized on Azure
PricingFree tier, then usage-based pricingPay-as-you-go usage pricing
Free to StartYesNo
LicenseProprietaryProprietary
DeploymentManaged cloudManaged cloud
LinkVisit BigQueryVisit Azure Synapse Analytics

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

Azure Synapse Analytics

Analytics service on Azure combining SQL and Spark

Pros:

  • Integrated with the Azure ecosystem
  • Serverless and dedicated SQL pools
  • Built-in Spark

Cons:

  • Microsoft is steering new workloads toward Microsoft Fabric
  • Azure only

Key Differences

  • Positioning: BigQuery — Google Cloud’s serverless data warehouse. Azure Synapse Analytics — analytics service on Azure combining SQL and Spark.
  • Both share the same licensing model (proprietary), so the decision comes down to features and workflow fit.
  • BigQuery can be started for free, while Azure Synapse Analytics requires a paid plan. Azure Synapse Analytics pricing: pay-as-you-go usage pricing.
  • Signature strength: BigQuery — fully serverless. Azure Synapse Analytics — integrated with the Azure ecosystem.

Frequently Asked Questions

Is BigQuery better than Azure Synapse Analytics?

It depends on your requirements. BigQuery is a strong fit for serverless analytics in Google Cloud, while Azure Synapse Analytics suits organizations standardized on Azure.

Is BigQuery free to use?

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

Is Azure Synapse Analytics free to use?

Azure Synapse Analytics does not have a permanent free plan. Pricing model: Pay-as-you-go usage pricing.

Can I self-host BigQuery or Azure Synapse Analytics?

BigQuery is offered as a managed service: managed cloud. Azure Synapse Analytics is offered as a managed service: managed cloud.

What are the main drawbacks of BigQuery and Azure Synapse Analytics?

BigQuery: on-demand pricing per bytes scanned; Google Cloud centric. Azure Synapse Analytics: Microsoft is steering new workloads toward Microsoft Fabric; Azure only.

Specification Matrix

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

Frequently Asked Questions

Is BigQuery better than Azure Synapse Analytics?

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

Is BigQuery free to use?

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

Is Azure Synapse Analytics free to use?

A

Can I self-host BigQuery or Azure Synapse Analytics?

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

What are the main drawbacks of BigQuery and Azure Synapse Analytics?

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

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