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BigQueryFully managed, serverless enterprise data warehouse from Google Cloud
vs
TeradataTurn intelligence into autonomous action
Comparison · Data Warehouse · weekly run Nov 3

BigQuery vs Teradata

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 5.7 for Teradata, and ranks ahead in 100% of the answers that name both.

Choose BigQuery if…

  • You want the brand AI engines rank higher (63.6 vs 5.7)
  • AI answers describe it more positively (41% vs 36% positive)
  • You need SOC 1 or SOC 2 or 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

Choose Teradata if…

  • You need a self-hosted or on-premises option
  • You need SOC 2 Type II or TX-RAMP or ISO/IEC 27001:2022 or IRAP PROTECTED or FedRAMP Ready at Moderate impact level on AWS coverage
  • Suited to large, highly regulated enterprise environments
  • Mature SQL workload management and hybrid deployment options

AI visibility side by side

Latest weekly run · Nov 3

Metric BigQuery Teradata
Visibility score63.6%5.7%
Change vs last weekNewNew
Rank in Data Warehouse#2#16
Share of voice12%2.5%
Mentions this run6714
Positive in AI answers41%36%

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 · Teradata 0pp over 0 weekly runs.

Engine by engine

BigQuery leads on 3 of 3 engines

ChatGPT
68.7%
3.5%
AI Mode
65.9%
5.9%
Perplexity
56.1%
7.6%
BigQueryTeradata

Head to head in AI answers

14 engine answers name both brands

14BigQuery ranked higher
0Teradata ranked higher

Features, pricing & fit

DimensionBigQueryTeradata
DeploymentServerless, runs only on Google CloudCloud, on-premises and hybrid
ComplianceSOC 1, SOC 2, SOC 3, ISO/IEC 27001, HIPAA, NIST 800-53, NIST 800-171, IRAP, GDPR, Cyber EssentialsSOC 2 Type II, TX-RAMP, ISO/IEC 27001:2022, IRAP PROTECTED, FedRAMP Ready at Moderate impact level on AWS
Founded—1979
Headquarters—San Diego, California
Employees—5,000+

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

Teradata

  • Suited to large, highly regulated enterprise environments
  • Mature SQL workload management and hybrid deployment options
  • Strong for complex, governed enterprise workloads
  • Good fit for modernizing existing Teradata environments
  • High PeerSpot enterprise-warehouse rating

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

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