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Amazon RedshiftFully managed, petabyte-scale cloud data warehouse on AWS
vs
BigQueryFully managed, serverless enterprise data warehouse from Google Cloud
Comparison · Data Warehouse · weekly run Nov 3

Amazon Redshift vs BigQuery

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 40.5 for Amazon Redshift, and ranks ahead in 89% of the answers that name both.

Choose Amazon Redshift if…

  • You need ISO 27001 or ISO 27017 or ISO 27018 or ISO 9001 or C5 or PCI DSS coverage
  • Petabyte-scale, fully managed data warehouse service
  • Deep integration with AWS services like S3, IAM, and existing AWS operations
  • Reserved pricing can cut compute costs substantially for committed use

Choose BigQuery if…

  • You want the brand AI engines rank higher (63.6 vs 40.5)
  • AI answers describe it more positively (41% vs 19% positive)
  • You need SOC 3 or ISO/IEC 27001 or HIPAA or NIST 800-53 or NIST 800-171 or IRAP or GDPR or Cyber Essentials coverage
  • Serverless, highly scalable data warehouse

AI visibility side by side

Latest weekly run · Nov 3

Metric Amazon Redshift BigQuery
Visibility score40.5%63.6%
Change vs last weekNewNew
Rank in Data Warehouse#3#2
Share of voice9.8%12%
Mentions this run5567
Positive in AI answers19%41%

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 3Amazon Redshift 41%

Amazon Redshift 0pp · BigQuery 0pp over 0 weekly runs.

Engine by engine

BigQuery leads on 3 of 3 engines

ChatGPT
47%
68.7%
AI Mode
32%
65.9%
Perplexity
42.4%
56.1%
Amazon RedshiftBigQuery

Head to head in AI answers

57 engine answers name both brands

6Amazon Redshift ranked higher
51BigQuery ranked higher

Features, pricing & fit

DimensionAmazon RedshiftBigQuery
DeploymentCloud, fully managed on AWS, as Provisioned clusters or ServerlessServerless, runs only on Google Cloud
ComplianceISO 27001, ISO 27017, ISO 27018, ISO 9001, C5, PCI DSS, SOC 1, SOC 2SOC 1, SOC 2, SOC 3, ISO/IEC 27001, HIPAA, NIST 800-53, NIST 800-171, IRAP, GDPR, Cyber Essentials
Founded2013—

Pros and cons

Themes from the AI answers that mention each brand

Amazon Redshift

  • Petabyte-scale, fully managed data warehouse service
  • Deep integration with AWS services like S3, IAM, and existing AWS operations
  • Reserved pricing can cut compute costs substantially for committed use
  • Free trial with Redshift Serverless or node-hour allowance
  • Widely shortlisted as a leading cloud data warehouse
  • Requires capacity and cost management, and bills can be hard to predict

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

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

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