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Teradata VantageCloud logo
Snowflake logo
Snowflake
Snowflake
BigQuery logo
BigQuery
Google
Head-to-head in this comparison
Advantages
Can run on-premise
Vendor is publicly listed — audited financial disclosure
Longest track record — vendor founded 1979
Most deployment options (Cloud (SaaS), On-premise, Hybrid)
Only one here with Two-factor authentication, GDPR compliance, Multi-language
Free trial available
Vendor is publicly listed — audited financial disclosure
Broadest feature coverage (12)
Free trial available
Free plan available
Free trial available
Vendor is publicly listed — audited financial disclosure
Largest vendor (183,000 employees)
Drawbacks
Lacks SOC 2, ISO 27001, HIPAA +1 more — offered by others here
No free plan
No free trial
No public adoption figures
Narrowest feature scope (5)
No free plan
Cloud only
No free plan
Cloud only
No public adoption figures
Smallest vendor (4,000 employees) — check support capacity
Least established — vendor founded 2013
Lacks Dashboards — offered by others here
Cloud only
No public adoption figures
Editorial assessment
Strengths
Handles large-scale, mixed analytic workloads
Mature workload management and query optimization
Runs across major public clouds and on-premise
Separate storage and compute scale independently
Near-zero maintenance as a fully managed service
Strong data sharing and multi-cloud support
Unified lakehouse for data engineering and AI
Built on open formats like Delta Lake and Spark
Strong collaborative notebooks and ML tooling
Serverless with no infrastructure to manage
Fast SQL analytics on very large datasets
Built-in ML and tight Google Cloud integration
Considerations
Higher cost than some cloud-native alternatives
Requires specialized administration skills
Usage-based costs can be hard to predict and control
Requires governance to avoid runaway warehouse spend
No on-premise deployment option
Usage-based costs can be hard to predict
Requires data engineering expertise
Cluster tuning and governance need attention
Query costs can be hard to predict
Best fit for Google Cloud-centric stacks
Cost optimization requires query discipline
Product & company facts
Deloitte alliance ✓ ✓ ✓ ✓
Rating — — — —
Starting price Contact for quote Price not listed Price not listed Free plan available
Pricing model Quote-based Usage-based Usage-based Usage-based
Free plan ✕ ✕ ✕ ✓
Free trial ✕ ✓ ✓ ✓
Open source ✕ ✕ ✕ ✕
Deployment Cloud (SaaS), On-premise, Hybrid Cloud (SaaS) Cloud (SaaS) Cloud (SaaS)
Platforms Web Web Web Web
Turkish interface ✕ ✕ ✕ ✕
Target size Enterprise Mid-market, Enterprise Mid-market, Enterprise Small business, Mid-market, Enterprise
Industries served Banking & capital markets, Technology, media & telecom, Retail & consumer, Transportation & logistics, Healthcare, Manufacturing & industrial Banking & capital markets, Retail & consumer, Healthcare, Technology, media & telecom, Cross-industry Banking & capital markets, Healthcare, Life sciences, Retail & consumer, Manufacturing & industrial, Cross-industry Retail & consumer, Banking & capital markets, Healthcare, Technology, media & telecom, Government & public sector, Cross-industry
Active users — — — —
Customers — 11K — —
Vendor employees 8,300 7,800 4,000 183,000
Headquarters San Diego, US Bozeman, US San Francisco, CA, US Mountain View, US
Founded 1979 2012 2013 1998
Categories Databases, Data Platforms & Warehousing Databases, Business Intelligence (BI) Data Platforms & Warehousing, AI & ML Platforms Data Platforms & Warehousing
Features
AI features ✓ ✓ ✓ ✓
GDPR compliance — ✓ — —
HIPAA — ✓ ✓ ✓
ISO 27001 — ✓ ✓ ✓
SOC 2 — ✓ ✓ ✓
API access ✓ ✓ ✓ ✓
Multi-language — ✓ — —
Dashboards — ✓ ✓ —
Audit log ✓ ✓ ✓ ✓
Role-based access ✓ ✓ ✓ ✓
Single sign-on (SSO) ✓ ✓ ✓ ✓
Two-factor authentication — ✓ — —

Feature marks are based on our curated data; “—” means not verified, not necessarily missing. Head-to-head points are derived from this data relative to the selected products; editorial points are curated summaries.

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