Skip to content
SlateIndex
BigQueryFully managed, serverless enterprise data warehouse from Google Cloud
vs
ClickHouseThe leading database for AI
Comparison · Data Warehouse · weekly run Nov 3

BigQuery vs ClickHouse

Which one do AI engines recommend, and how do they differ on price, fit and features?

The short answer

BigQuery is the stronger AI pick in Data Warehouse: it has a visibility score of 63.6 versus 16.5 for ClickHouse, and ranks ahead in 93% of the answers that name both.

Choose BigQuery if…

  • You want the brand AI engines rank higher (63.6 vs 16.5)
  • You need SOC 1 or SOC 2 or SOC 3 or ISO/IEC 27001 or NIST 800-53 or NIST 800-171 or IRAP or GDPR or Cyber Essentials coverage
  • Serverless, highly scalable data warehouse
  • Free tier suited to small teams and light workloads

Choose ClickHouse if…

  • AI answers describe it more positively (58% vs 41% positive)
  • You need PCI coverage
  • fast real-time analytics
  • high-concurrency analytics performance

AI visibility side by side

Latest weekly run · Nov 3

Metric BigQuery ClickHouse
Visibility score63.6%16.5%
Change vs last weekNewNew
Rank in Data Warehouse#2#8
Share of voice12%5.4%
Mentions this run6730
Positive in AI answers41%58%

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

0%25%50%75%100%Nov 3BigQuery 64%

BigQuery 0pp · ClickHouse 0pp over 0 weekly runs.

Engine by engine

BigQuery leads on 3 of 3 engines

ChatGPT
68.7%
14.4%
AI Mode
65.9%
12%
Perplexity
56.1%
23.1%
BigQueryClickHouse

Head to head in AI answers

29 engine answers name both brands

27BigQuery ranked higher
2ClickHouse ranked higher

Features, pricing & fit

DimensionBigQueryClickHouse
Pricing model—Usage-based
Entry price—$0.218 / mo
Free plan—No · 30-day trial
DeploymentServerless, runs only on Google CloudClickHouse Cloud on AWS, GCP and Azure, self-managed open-source installs, and Bring Your Own Cloud within the customer's own VPC.
Integrations—100+
ComplianceSOC 1, SOC 2, SOC 3, ISO/IEC 27001, HIPAA, NIST 800-53, NIST 800-171, IRAP, GDPR, Cyber EssentialsHIPAA, PCI
Support—Expert support with 1 business day response time on Basic, Expert support with 1 hour response time on Scale, Enterprise support with 30 min response time for Severity 1 issues, Named Lead Support Engineer on Enterprise
Founded—2009
Headquarters—Palo Alto, CA, United States
Employees—501–1,000
Funding—Series D, led by Dragoneer
Best for—Developers and data teams that need real-time queries on large datasets at an affordable cost, including teams adding a speed layer on top of an existing data warehouse or OLTP database.

Plans side by side

BigQuery

Pricing not available.

ClickHouse

Basic$0.218per compute unit / hr
Scale$0.299per compute unit / hr
Enterprise$0.39per compute unit / hr
ClickHouse pricing

Pros and cons

Themes from the AI answers that mention each brand

BigQuery

  • Serverless, highly scalable data warehouse
  • Free tier suited to small teams and light workloads
  • Easy to start with low operational overhead
  • Built-in ML and AI capabilities
  • Strong fit for Google Cloud-centric teams
  • Bills are hard to predict

ClickHouse

  • fast real-time analytics
  • high-concurrency analytics performance
  • strong for observability and log analytics
  • $300 credits and 30-day trial
  • best raw performance-to-cost ratio
  • self-hosting requires scaling and maintenance work
  • efficient operation at very large scale needs specialized expertise
  • specialist option rather than broad enterprise warehouse replacement

Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run

Cite as: SlateIndex, “BigQuery vs ClickHouse”, https://slateindex.ai/compare/bigquery-vs-clickhouse, data of Nov 3, 2026. Licence: CC BY 4.0.