Snowflake vs Teradata
Snowflake is the stronger choice for cloud-native teams that prioritize ease of use, elastic scaling, and a broad data sharing ecosystem. Teradata is better suited for large enterprises that need hybrid or on-premises deployment, in-database analytics, and sophisticated mixed workload management. Both platforms deliver enterprise-grade data warehousing, but they serve different operational models and infrastructure strategies.
Snowflake4.4Teradata4.3
Data Warehouses
Quick Comparison
| Feature | Snowflake | Teradata |
|---|---|---|
| Best For | Cloud-native analytics teams needing elastic scaling and data sharing | Large enterprises needing hybrid deployment and mixed workload management |
| Pricing Model | Standard (1-10 users): $89/mo; Enterprise: custom | Usage-based pricing with options including $1.50, $4.80, $6.00, $7.20, $9,000/mo, and $10,500/mo. |
| Deployment | Multi-cloud (AWS, Azure, GCP) — cloud-only | Public cloud, hybrid cloud, and on-premises |
| AI/ML Capabilities | Snowpark, LLM deployment, Snowflake Intelligence agent | ClearScape Analytics, in-database analytics, Bring Your Own LLM |
| User Rating | 8.7/10 (455 reviews) | 8.1/10 (220 reviews) |
Snowflake
- Best For:
- Cloud-native analytics teams needing elastic scaling and data sharing
- Pricing Model:
- Standard (1-10 users): $89/mo; Enterprise: custom
- Deployment:
- Multi-cloud (AWS, Azure, GCP) — cloud-only
- AI/ML Capabilities:
- Snowpark, LLM deployment, Snowflake Intelligence agent
- User Rating:
- 8.7/10 (455 reviews)
Teradata
- Best For:
- Large enterprises needing hybrid deployment and mixed workload management
- Pricing Model:
- Usage-based pricing with options including $1.50, $4.80, $6.00, $7.20, $9,000/mo, and $10,500/mo.
- Deployment:
- Public cloud, hybrid cloud, and on-premises
- AI/ML Capabilities:
- ClearScape Analytics, in-database analytics, Bring Your Own LLM
- User Rating:
- 8.1/10 (220 reviews)
Community & Adoption Signals
| Metric | Snowflake | Teradata |
|---|---|---|
| TrustRadius rating | 8.7/10 (455 reviews) | 8.1/10 (220 reviews) |
| PyPI weekly downloads | 39.0M | 1.9M |
| Search interest | 0 | 2 |
| Product Hunt votes | 88 | — |
As of 2026-05-04 — updated weekly.
Interface Preview
Teradata
Feature Comparison
| Feature | Snowflake | Teradata |
|---|---|---|
| Architecture & Deployment | ||
| Cloud-Native Architecture | Yes — built cloud-native from the ground up | Yes — VantageCloud is cloud-native |
| On-Premises Deployment | No — cloud-only | Yes — IntelliFlex and VMware options |
| Hybrid Cloud Support | No — multi-cloud but no on-prem component | Yes — full hybrid cloud with unified management |
| Compute-Storage Separation | Yes — fully independent scaling | Yes — in VantageCloud deployments |
| Multi-Cloud Support | AWS, Azure, and GCP | AWS, Azure, and GCP |
| Analytics & AI | ||
| In-Database Analytics | Limited — relies on Snowpark for advanced analytics | Yes — industry-leading in-database analytic functions |
| ML Model Deployment | Snowpark ML, custom LLM deployment | ClearScape Analytics, ModelOps, Bring Your Own LLM |
| Enterprise Vector Store | Cortex-based vector search | Native Enterprise Vector Store |
| Mixed Workload Management | Separate virtual warehouses per workload | Unified workload management across all query types |
| Natural Language Querying | Snowflake Intelligence agent | AI-powered autonomous agents via Loom |
| Data Management | ||
| Open Table Format Support | Apache Iceberg interoperability | Apache Iceberg and Delta Lake support |
| Data Sharing | Native live data sharing across accounts and clouds | Data fabric for distributed data access |
| Data Engineering Pipelines | Snowpipe, Streams, Tasks for pipeline orchestration | Native data engineering with extensive ETL capabilities |
| Security & Governance | ||
| Encryption | Automatic encryption; Tri-Secret Secure on Business Critical | Enterprise-grade encryption across all deployments |
| Governance Controls | Granular access controls on Enterprise tier and above | Unified governance and observability built-in |
| Ecosystem & Support | ||
| Partner Ecosystem | Large marketplace with 700+ partners and integrations | Partnerships with major cloud providers and system integrators |
| Community & Resources | Active developer community, open-source contributions | Enterprise-focused support, consulting, and managed services |
| Time Travel / Data Recovery | Up to 90 days on Enterprise; Fail-safe recovery | Point-in-time recovery with enterprise backup |
Architecture & Deployment
Cloud-Native Architecture
SnowflakeYes — built cloud-native from the ground up
TeradataYes — VantageCloud is cloud-native
On-Premises Deployment
SnowflakeNo — cloud-only
TeradataYes — IntelliFlex and VMware options
Hybrid Cloud Support
SnowflakeNo — multi-cloud but no on-prem component
TeradataYes — full hybrid cloud with unified management
Compute-Storage Separation
SnowflakeYes — fully independent scaling
TeradataYes — in VantageCloud deployments
Multi-Cloud Support
SnowflakeAWS, Azure, and GCP
TeradataAWS, Azure, and GCP
Analytics & AI
In-Database Analytics
SnowflakeLimited — relies on Snowpark for advanced analytics
TeradataYes — industry-leading in-database analytic functions
ML Model Deployment
SnowflakeSnowpark ML, custom LLM deployment
TeradataClearScape Analytics, ModelOps, Bring Your Own LLM
Enterprise Vector Store
SnowflakeCortex-based vector search
TeradataNative Enterprise Vector Store
Mixed Workload Management
SnowflakeSeparate virtual warehouses per workload
TeradataUnified workload management across all query types
Natural Language Querying
SnowflakeSnowflake Intelligence agent
TeradataAI-powered autonomous agents via Loom
Data Management
Open Table Format Support
SnowflakeApache Iceberg interoperability
TeradataApache Iceberg and Delta Lake support
Data Sharing
SnowflakeNative live data sharing across accounts and clouds
TeradataData fabric for distributed data access
Data Engineering Pipelines
SnowflakeSnowpipe, Streams, Tasks for pipeline orchestration
TeradataNative data engineering with extensive ETL capabilities
Security & Governance
Encryption
SnowflakeAutomatic encryption; Tri-Secret Secure on Business Critical
TeradataEnterprise-grade encryption across all deployments
Governance Controls
SnowflakeGranular access controls on Enterprise tier and above
TeradataUnified governance and observability built-in
Ecosystem & Support
Partner Ecosystem
SnowflakeLarge marketplace with 700+ partners and integrations
TeradataPartnerships with major cloud providers and system integrators
Community & Resources
SnowflakeActive developer community, open-source contributions
TeradataEnterprise-focused support, consulting, and managed services
Time Travel / Data Recovery
SnowflakeUp to 90 days on Enterprise; Fail-safe recovery
TeradataPoint-in-time recovery with enterprise backup
Our Verdict
Snowflake is the stronger choice for cloud-native teams that prioritize ease of use, elastic scaling, and a broad data sharing ecosystem. Teradata is better suited for large enterprises that need hybrid or on-premises deployment, in-database analytics, and sophisticated mixed workload management. Both platforms deliver enterprise-grade data warehousing, but they serve different operational models and infrastructure strategies.
This verdict is based on general use cases. Your specific requirements, existing tech stack, and team expertise should guide your final decision.
Frequently Asked Questions
Is Snowflake or Teradata better for large-scale enterprise analytics?
It depends on your deployment model. Snowflake excels at cloud-native analytics with elastic scaling and near-zero maintenance. Teradata is purpose-built for large enterprise workloads with its in-database analytics and mixed workload management capabilities. Organizations already running hybrid infrastructure often find Teradata a better fit, while cloud-first companies typically prefer Snowflake.
How does Snowflake pricing compare to Teradata pricing?
Both use consumption-based pricing, but the models differ. Snowflake charges per credit ($2-$3 depending on edition) with separate storage costs around $23-$40/TB/month. Teradata uses unit-based consumption with VantageCloud Lake starting from $4.80/hour. Snowflake's median contract is $96,594/year based on 622 verified purchases, while Teradata's costs scale significantly with user count, with estimates around $57,600/year for a single user.
Can Teradata be deployed on-premises while Snowflake cannot?
Yes. Teradata offers full on-premises deployment through IntelliFlex and VMware options, plus hybrid cloud configurations. Snowflake is exclusively cloud-based and runs on AWS, Azure, and GCP. Organizations with strict data residency requirements or existing on-premises infrastructure investments may need Teradata's deployment flexibility.
Which platform has stronger AI and machine learning capabilities?
Teradata offers deeper in-database analytics through ClearScape Analytics, ModelOps, and its Bring Your Own LLM capability. Snowflake provides Snowpark for ML development, LLM deployment, and Snowflake Intelligence for natural language querying. Teradata's strength is running analytics where the data lives, while Snowflake focuses on making AI accessible through its cloud ecosystem.
What industries typically choose Teradata over Snowflake?
Teradata has strong adoption in heavily regulated industries. Ten of the top 10 banks, seven of the top 10 airlines, and seven of the top 10 telecom companies use Teradata. These organizations value hybrid deployment, enterprise-grade workload management, and decades of proven reliability at scale. Snowflake has broader adoption across technology, retail, and media companies that operate cloud-first.