vioscale
Comparison

Google BigQuery vs Teradata

No leader: the top candidate Teradata has only 0.14 confidence (low), below the 0.35 needed to declare a winner. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.

Google BigQuery full profile →Teradata full profile →
Machine formatsJSONMarkdownGraphQLor send Accept: application/json
Google BigQuery46
Teradata61
Score
Vioscale score
Google BigQuery46 / 100low · 49%
Teradata61 / 100low · 14%
Pricing
Free tier
Google BigQuery✓
Teradata✗
Model
Google BigQueryfreemium
Teradatacommercial
Price level
Google BigQuerylow
Teradatalow
Transparent
Google BigQuery✗
Teradata✓
Integrations
Count
Google BigQuery4
Teradata–
Security
Disclosure policy
Google BigQuery–
Teradata✓
Reliability
Status page
Google BigQuery✓
Teradata–
Market
Availability

Capabilities

Feature-by-feature on the axes that matter for data warehouse software. “-” means undocumented, not absent.

Deployment
Deployment
Google BigQueryManaged cloud
TeradataHybrid
Architecture
Architecture
Google BigQueryServerless
Teradata-
Compute model
Google BigQuery-
Teradata-
Query
SQL dialect
Google BigQueryVendor-specific
Teradata-
Federation / lakehouse query-in-place
Google BigQuery✓
Teradata-
Interoperability
Table-format support
Google BigQuery-
Teradata-
Scale
Concurrency scaling
Google BigQuery-
TeradataAutomatic
Ingestion
Streaming ingest
Google BigQuery✗
Teradata-
Data model
Semi-structured (JSON/VARIANT)
Google BigQueryFirst-class
TeradataFirst-class
Analytics
ML / in-DB functions
Google BigQuery✓
Teradata✓
Sharing
Data sharing / marketplace
Google BigQuery✓
Teradata-
Licensing
Licence class
Google BigQueryProprietary
Teradata-

What each one is

The product in its own terms, so the numbers below have context.

Google BigQuery

BigQuery is a fully managed, serverless data warehouse that supports analytics, machine learning, and AI applications. It enables users to store and query large datasets while integrating built-in AI capabilities for predictive analytics and natural language interaction.

Independently observed

Teradata

Teradata's Autonomous Knowledge Platform connects multi-modal data, operationalizes AI and analytics, and embeds intelligence into workflows for autonomous decision-making at scale. Supports cloud and on-premises deployments.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

Google BigQuery

Usage-basedFree tier

Free tier with 10 GiB storage and 1 TiB monthly queries. New customers receive $300 in free credits.

  • Free tierFree
as of verify ↗

Teradata

from $4.80/moconsumption

Consumption-based pricing: from $4.80/hour compute + storage from $276/TB/year (object storage). On-demand and commitment options. Pricing for U.S. region; data transfer charged separately.

  • StandardFrom $4.80/hour compute (U.S. region only)
    • Teradata Engine
    • Premier Cloud Support
  • VantageCloud LakeFrom $6.00/hour compute (U.S. region only)
    • Teradata Engine
  • VantageCloud Lake+From $7.20/hour compute (U.S. region only)
    • Teradata Engine
    • Priority Service
as of verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
Web
Google BigQuery✓
Teradata✓
Deployment
Cloud / SaaS
Google BigQuery✓
Teradata✓
On-premise
Google BigQuery✗
Teradata✓
Hybrid
Google BigQuery✗
Teradata✓

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

Google BigQuery

4 total
  • Gemini Enterprise Agent Platform
  • Data Engineering Agent
  • Data Science Agent
  • Conversational Analytics Agent
Independently observed

Teradata

Not documented yet.

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.