Google BigQuery vs ClickHouse Cloud

Google BigQuery9.4Visit ClickHouse Cloud9.0Visit

Higher score Google BigQuery #1 in Columnar Databases 9.4/10 Free plan Free plan✓ 0 of 3 features Try Google BigQuery

vs

ClickHouse Cloud #3 in Columnar Databases 9.0/10 From $50/mo · 30-day trial Free trial✓ 0 of 3 features Try ClickHouse Cloud

• Google BigQuery fits best

  Serverless analytics and lakehouse teams

• ClickHouse Cloud fits best

  Managed high-performance columnar analytics

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Side by side

Feature	Google BigQuery 9.4/10 Visit ↗	ClickHouse Cloud 9.0/10 Visit ↗
At a glance
Editor score	9.4	9.0
Ranking	#1 in Columnar Databases	#3 in Columnar Databases
Best for	Serverless analytics and lakehouse teams	Managed high-performance columnar analytics
Pricing model	Free	Paid
Starting price	Free	$50/mo
Free plan	✓ (best)	—
Free trial	—	30 days
Deployment	Cloud	Cloud
Platforms	Web	Web
Integrations	10 integrations	12 integrations
Features Google BigQuery 0/3 · ClickHouse Cloud 0/3
Managed service	Not checked yet	Not checked yet
Object storage support	Not checked yet	Not checked yet
Streaming ingestion	Not checked yet	Not checked yet
Specs
Deployment model	Cloud	Not checked yet
Supported data formats	Not checked yet	Not checked yet
Included storage	Not checked yet	Not checked yet
Our review
Pros	Separates storage and compute for independent scaling Queries lake data and external sources through federated access Combines streaming, SQL-based ML, governance, and AI features	Separated compute and storage with vertical and horizontal scaling Replication, backups, and guided restore workflows are managed Integrates with Kafka, S3, PostgreSQL, Grafana, dbt, and BI tools
Cons	Usage-based pricing varies by data scanned, storage, region, and operation Capacity-based editions require planning around query processing Cloud deployment may not suit teams needing another deployment model	Starts at $50 per month and uses usage-based pricing No perpetual free plan Point-in-time recovery details are limited for ClickHouse Cloud
Our verdict	Google BigQuery is a fully managed, serverless cloud data warehouse for organizations that store, query, and analyze large datasets. It is aimed at data engineering, business intelligence, data science, real-time analytics, and warehouse… Read the review →	ClickHouse Cloud is a fully managed, cloud-hosted version of ClickHouse, a SQL-based column-oriented database for real-time analytics, observability, data warehousing, and AI-related workloads. It is aimed at teams that need analytical… Read the review →

Strengths and trade-offs

• Google BigQuery — where it wins

  • Separates storage and compute for independent scaling
  • Queries lake data and external sources through federated access
  • Combines streaming, SQL-based ML, governance, and AI features

  Where it doesn't

  • Usage-based pricing varies by data scanned, storage, region, and operation
  • Capacity-based editions require planning around query processing
  • Cloud deployment may not suit teams needing another deployment model

• ClickHouse Cloud — where it wins

  • Separated compute and storage with vertical and horizontal scaling
  • Replication, backups, and guided restore workflows are managed
  • Integrates with Kafka, S3, PostgreSQL, Grafana, dbt, and BI tools

  Where it doesn't

  • Starts at $50 per month and uses usage-based pricing
  • No perpetual free plan
  • Point-in-time recovery details are limited for ClickHouse Cloud

• Google BigQuery9.4/10 · Free plan

  A flexible serverless warehouse for teams combining lakehouse analytics, streaming, and ML.

  Try Google BigQueryFull verdict →
• ClickHouse Cloud9.0/10 · From $50/mo · 30-day trial

  A managed ClickHouse service for elastic, high-performance analytical workloads.

  Try ClickHouse CloudFull verdict →