Google BigQuery vs Amazon Redshift

Google BigQuery9.4Visit Amazon Redshift9.2Visit

Higher score Google BigQuery #1 in Data Warehouse Software 9.4/10 Free plan Free plan✓ 4 of 4 features Try Google BigQuery

vs

Amazon Redshift #2 in Data Warehouse Software 9.2/10 Paid ✓ 4 of 4 features Try Amazon Redshift

• Google BigQuery fits best

  Teams wanting a broad serverless warehouse

• Amazon Redshift fits best

  AWS-centric analytics teams

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Side by side

Feature	Google BigQuery 9.4/10 Visit ↗	Amazon Redshift 9.2/10 Visit ↗
At a glance
Editor score	9.4	9.2
Ranking	#1 in Data Warehouse Software	#2 in Data Warehouse Software
Best for	Teams wanting a broad serverless warehouse	AWS-centric analytics teams
Pricing model	Free	Paid
Starting price	Free	$0.54/unit usage-based
Free plan	✓ (best)	—
Free trial	—	—
Deployment	Cloud	Cloud
Platforms	Web	Web
Support	Docs, Live chat, Phone, Tickets, Community	Email, Live chat, Phone, Tickets, Docs
Compliance	SOC 2, ISO 27001, HIPAA	SOC 2, ISO 27001, HIPAA, PCI DSS, SSO/SAML, 2FA
Integrations	10 integrations	15 integrations
Built for	Small business, Mid-market, Enterprise	Small business, Mid-market, Enterprise
Features Google BigQuery 4/4 · Amazon Redshift 4/4
Separate storage and compute	✓	✓
Data lake support	✓	✓
Streaming ingestion	✓	✓
In-database machine learning	✓	✓
Specs
Deployment model	Cloud	Cloud
Pricing model	Hybrid	Hybrid
Our review
Pros	Serverless SQL with storage and compute that scale independently Supports lake queries, streaming ingestion, CDC, and federated sources Includes BigQuery ML, governance controls, and broad integrations	Provisioned and serverless deployment options Queries Amazon S3 data lakes and supports streaming ingestion Native SQL-based machine learning with Redshift ML
Cons	Usage-based pricing can vary by region and operation Additional storage, ingestion, and extraction charges can apply Broad feature coverage may exceed the needs of narrow warehouse use cases	No free plan Serverless is priced at $1.50 per hour Managed storage is billed separately for some provisioned nodes
Our verdict	Google BigQuery is a fully managed, serverless cloud data warehouse for organizations that need to store, query, and analyze large datasets. Its audience spans data engineering, business intelligence, data science, real-time analytics, and… Read the review →	Amazon Redshift is a fully managed cloud data warehouse for analyzing large datasets with SQL. It supports data teams, analysts, developers, and organizations running business intelligence, data lake, real-time analytics, and predictive… Read the review →

Strengths and trade-offs

• Google BigQuery — where it wins

  • Serverless SQL with storage and compute that scale independently
  • Supports lake queries, streaming ingestion, CDC, and federated sources
  • Includes BigQuery ML, governance controls, and broad integrations

  Where it doesn't

  • Usage-based pricing can vary by region and operation
  • Additional storage, ingestion, and extraction charges can apply
  • Broad feature coverage may exceed the needs of narrow warehouse use cases

• Amazon Redshift — where it wins

  • Provisioned and serverless deployment options
  • Queries Amazon S3 data lakes and supports streaming ingestion
  • Native SQL-based machine learning with Redshift ML

  Where it doesn't

  • No free plan
  • Serverless is priced at $1.50 per hour
  • Managed storage is billed separately for some provisioned nodes

• Google BigQuery9.4/10 · Free plan

  A broad serverless warehouse with flexible analytics, lake, streaming, governance, and ML capabilities.

  Try Google BigQueryFull verdict →
• Amazon Redshift9.2/10 · Paid

  A broad AWS-native warehouse with flexible deployments, but no free plan.

  Try Amazon RedshiftFull verdict →