Snowflake (AI Data Cloud) vs TwelveLabs
Neutral, data‑driven comparison to evaluate data analytics.
Comparing 2 AI tools.
| Feature | ||
|---|---|---|
Upvotes | 57 | 3 |
Avg. Rating | 4.5 | N/A |
Slogan | Your Data. Your AI. One Cloud. | AI that understands video |
Category | ||
Pricing Model | Freemium Pay-per-Use Enterprise Contact for Pricing | Free Pay-per-Use Enterprise |
Pricing Details | Snowflake pricing is consumption-based, with a free trial offering credits, pay-as-you-go (on-demand), and pre-purchased capacity (subscription) contracts. Four editions are available—Standard, Enterprise, Business Critical, and Virtual Private Snowflake (VPS)—differing by feature set, governance, and security. Costs include compute (starting at $2.00–$4.00 per credit, depending on edition), storage (typically $23–$40 per TB/month based on plan and region), and data transfer. Higher-tier plans and large enterprise discounts require contacting sales. There are no new core pricing models or editions as of September 2025. | Free tier up to 10 hours; after that, pay-per-use from $0.0083/min (audio), $0.033–$0.042/min (video), $0.002/1k text tokens; Enterprise: custom pricing |
Platforms | ||
Target Audience | Software Developers, Scientists, Business Executives, Entrepreneurs, Financial Experts | Content Creators, Product Managers, Business Executives, Entrepreneurs, Marketing Professionals, Educators, Students, Scientists, Software Developers |
Website |
Why this comparison matters
This comprehensive comparison of Snowflake (AI Data Cloud) and TwelveLabs provides objective, data-driven insights to help you choose the best data analytics solution for your needs. We evaluate both tools across multiple dimensions including feature depth, pricing transparency, integration capabilities, security posture, and real-world usability.
Whether you're evaluating tools for personal use, team collaboration, or enterprise deployment, this comparison highlights key differentiators, use case recommendations, and cost-benefit considerations to inform your decision. Both tools are evaluated based on verified data, community feedback, and technical capabilities.
Quick Decision Guide
Choose Snowflake (AI Data Cloud) if:
- Developer-friendly—Snowflake (AI Data Cloud) provides comprehensive API and 2 SDKs for custom integrations, while TwelveLabs has limited developer tools
- Security-first design—Snowflake (AI Data Cloud) prioritizes data security and compliance features
- Community favorite—Snowflake (AI Data Cloud) has 57 upvotes (1800% more than TwelveLabs), indicating strong user preference
- Unique features—Snowflake (AI Data Cloud) offers ai data cloud and cloud data platform capabilities not found in TwelveLabs
Choose TwelveLabs if:
- Specialized in video generation—TwelveLabs offers category-specific features and optimizations for video generation workflows
- Multilingual support—TwelveLabs supports 7 languages vs Snowflake (AI Data Cloud)'s 1
- Unique features—TwelveLabs offers video analysis and multimodal ai capabilities not found in Snowflake (AI Data Cloud)
Pro tip: Start with a free trial or free tier if available. Test both tools with real workflows to evaluate performance, ease of use, and integration depth. Consider your team size, technical expertise, and long-term scalability needs when making your final decision.
When to Choose Each Tool
When to Choose Snowflake (AI Data Cloud)
Snowflake (AI Data Cloud) is the better choice when you prioritize specific features and capabilities. Snowflake (AI Data Cloud) making it ideal for teams valuing community-validated solutions.
Ideal for:
- Developer-friendly—Snowflake (AI Data Cloud) provides comprehensive API and 2 SDKs for custom integrations, while TwelveLabs has limited developer tools
- Security-first design—Snowflake (AI Data Cloud) prioritizes data security and compliance features
- Community favorite—Snowflake (AI Data Cloud) has 57 upvotes (1800% more than TwelveLabs), indicating strong user preference
- Unique features—Snowflake (AI Data Cloud) offers ai data cloud and cloud data platform capabilities not found in TwelveLabs
Target Audiences:
When to Choose TwelveLabs
TwelveLabs excels when you need cost-effective entry points (free tier available). TwelveLabs provides a free tier for testing, while making it ideal for teams with specific requirements.
Ideal for:
- Specialized in video generation—TwelveLabs offers category-specific features and optimizations for video generation workflows
- Multilingual support—TwelveLabs supports 7 languages vs Snowflake (AI Data Cloud)'s 1
- Unique features—TwelveLabs offers video analysis and multimodal ai capabilities not found in Snowflake (AI Data Cloud)
Target Audiences:
Cost-Benefit Analysis
Snowflake (AI Data Cloud)
Value Proposition
Freemium model allows gradual scaling without upfront commitment. Pay-as-you-go pricing aligns costs with actual usage. API and SDK access enable custom automation, reducing manual work.
ROI Considerations
- API access enables automation, reducing manual work
TwelveLabs
Value Proposition
Free tier available for testing and small-scale use. Pay-as-you-go pricing aligns costs with actual usage.
ROI Considerations
- Start free, scale as needed—minimal upfront investment
Cost Analysis Tip: Beyond sticker price, consider total cost of ownership including setup time, training, integration complexity, and potential vendor lock-in. Tools with free tiers allow risk-free evaluation, while usage-based pricing aligns costs with value. Factor in productivity gains, reduced manual work, and improved outcomes when calculating ROI.
Who Should Use Each Tool?
Snowflake (AI Data Cloud) is Best For
- Software Developers
- Scientists
- Business Executives
- Entrepreneurs
- Financial Experts
TwelveLabs is Best For
- Content Creators
- Product Managers
- Business Executives
- Entrepreneurs
- Marketing Professionals
Pricing Comparison
Snowflake (AI Data Cloud)
Pricing Model
Freemium, Pay-per-Use, Enterprise, Contact for Pricing
Details
Snowflake pricing is consumption-based, with a free trial offering credits, pay-as-you-go (on-demand), and pre-purchased capacity (subscription) contracts. Four editions are available—Standard, Enterprise, Business Critical, and Virtual Private Snowflake (VPS)—differing by feature set, governance, and security. Costs include compute (starting at $2.00–$4.00 per credit, depending on edition), storage (typically $23–$40 per TB/month based on plan and region), and data transfer. Higher-tier plans and large enterprise discounts require contacting sales. There are no new core pricing models or editions as of September 2025.
Estimated Monthly Cost
$+/month
TwelveLabs
Pricing Model
Free, Pay-per-Use, Enterprise
Details
Free tier up to 10 hours; after that, pay-per-use from $0.0083/min (audio), $0.033–$0.042/min (video), $0.002/1k text tokens; Enterprise: custom pricing
Estimated Monthly Cost
$+/month
Strengths & Weaknesses
Snowflake (AI Data Cloud)
Strengths
- Free tier available
- Developer-friendly (2+ SDKs)
- API available
- Highly rated (4.5⭐)
Limitations
- Few integrations
- Not GDPR compliant
TwelveLabs
Strengths
- Free tier available
- Developer-friendly (2+ SDKs)
Limitations
- Few integrations
- Not GDPR compliant
- No public API
Community Verdict
Snowflake (AI Data Cloud)
TwelveLabs
Integration & Compatibility Comparison
Snowflake (AI Data Cloud)
Platform Support
Integrations
Developer Tools
SDK Support:
✓ REST API available for custom integrations
TwelveLabs
Platform Support
Integrations
Developer Tools
SDK Support:
Integration Evaluation: Assess how each tool fits into your existing stack. Consider API availability for custom integrations if native options are limited. Evaluate integration depth, authentication methods (OAuth, API keys), webhook support, and data synchronization capabilities. Test integrations in your environment before committing.
Developer Experience
Snowflake (AI Data Cloud)
SDK Support
API
✅ REST API available
TwelveLabs
SDK Support
Deployment & Security
Snowflake (AI Data Cloud)
Deployment Options
Compliance
GDPR status not specified
Hosting
Global
TwelveLabs
Deployment Options
Compliance
GDPR status not specified
Hosting
Global
Common Use Cases
Snowflake (AI Data Cloud)
+8 more use cases available
TwelveLabs
+9 more use cases available
Making Your Final Decision
Choosing between Snowflake (AI Data Cloud) and TwelveLabs ultimately depends on your specific requirements, team size, budget constraints, and long-term goals. Both tools offer unique strengths that may align differently with your workflow.
Consider Snowflake (AI Data Cloud) if:
- •Developer-friendly—Snowflake (AI Data Cloud) provides comprehensive API and 2 SDKs for custom integrations, while TwelveLabs has limited developer tools
- •Security-first design—Snowflake (AI Data Cloud) prioritizes data security and compliance features
- •Community favorite—Snowflake (AI Data Cloud) has 57 upvotes (1800% more than TwelveLabs), indicating strong user preference
Consider TwelveLabs if:
- •Specialized in video generation—TwelveLabs offers category-specific features and optimizations for video generation workflows
- •Multilingual support—TwelveLabs supports 7 languages vs Snowflake (AI Data Cloud)'s 1
- •Unique features—TwelveLabs offers video analysis and multimodal ai capabilities not found in Snowflake (AI Data Cloud)
Next Steps
- Start with free trials: Both tools likely offer free tiers or trial periods. Use these to test real workflows and evaluate performance firsthand.
- Involve your team: Get feedback from actual users who will interact with the tool daily. Their input on usability and workflow integration is invaluable.
- Test integrations: Verify that each tool integrates smoothly with your existing stack. Check API documentation, webhook support, and authentication methods.
- Calculate total cost: Look beyond monthly pricing. Factor in setup time, training, potential overages, and long-term scalability costs.
- Review support and roadmap: Evaluate vendor responsiveness, documentation quality, and product roadmap alignment with your needs.
Remember: The "best" tool is the one that fits your specific context. What works for one organization may not work for another. Take your time, test thoroughly, and choose based on verified data rather than marketing claims. Both Snowflake (AI Data Cloud) and TwelveLabs are capable solutions—your job is to determine which aligns better with your unique requirements.
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Web AppDesktop AppMobile App#ai assistant#knowledge management#workspace automation4.3(3)379Integrations: 1 - 5
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FAQ
Is Snowflake (AI Data Cloud) better than TwelveLabs for Data Analytics?
There isn’t a universal winner—decide by fit. Check: (1) Workflow/UI alignment; (2) Total cost at your usage (seats, limits, add‑ons); (3) Integration coverage and API quality; (4) Data handling and compliance. Use the table above to align these with your priorities.
What are alternatives to Snowflake (AI Data Cloud) and TwelveLabs?
Explore adjacent options in the Data Analytics category. Shortlist by feature depth, integration maturity, transparent pricing, migration ease (export/API), security posture (e.g., SOC 2/ISO 27001), and roadmap velocity. Prefer tools proven in production in stacks similar to yours and with clear SLAs/support.
What should I look for in Data Analytics tools?
Checklist: (1) Must‑have vs nice‑to‑have features; (2) Cost at your scale (limits, overages, seats); (3) Integrations and API quality; (4) Privacy & compliance (GDPR/DSA, retention, residency); (5) Reliability/performance (SLA, throughput, rate limits); (6) Admin, audit, SSO; (7) Support and roadmap. Validate with a fast pilot on your real workloads.
How should I compare pricing for Snowflake (AI Data Cloud) vs TwelveLabs?
Normalize to your usage. Model seats, limits, overages, add‑ons, and support. Include hidden costs: implementation, training, migration, and potential lock‑in. Prefer transparent metering if predictability matters.
What due diligence is essential before choosing a Data Analytics tool?
Run a structured pilot: (1) Replicate a real workflow; (2) Measure quality and latency; (3) Verify integrations, API limits, error handling; (4) Review security, PII handling, compliance, and data residency; (5) Confirm SLA, support response, and roadmap.