LangfuseOpen Source Agent Evals & Observability
vs
SnowflakeWhere data does more
Comparison · MLOps Platforms · weekly run Nov 2
Langfuse vs Snowflake
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Snowflake is the stronger AI pick in MLOps Platforms: it has a visibility score of 6.3 versus 0.3 for Langfuse.
Choose Langfuse if…
- You want a free plan to start
- AI answers describe it more positively (50% vs 35% positive)
- You need a self-hosted or on-premises option
- You need SOC 2 Type II or HIPAA-ready region or GDPR coverage
Choose Snowflake if…
- You want the brand AI engines rank higher (6.3 vs 0.3)
- You need SOC 1 or SOC 2 Type 2 or FedRAMP Moderate or FedRAMP High or DoD IL4 or DoD IL5 or PCI-DSS or HITRUST or TISAX or ITAR or ISO 42001 coverage
- Multi-cloud deployment and secure, governed data sharing
- Decoupled storage and compute architecture
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Langfuse | Snowflake |
|---|---|---|
| Visibility score | 0.3% | 6.3% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #51 | #13 |
| Share of voice | 0.2% | 1.1% |
| Mentions this run | 1 | 8 |
| Positive in AI answers | 50% | 35% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Langfuse 0pp · Snowflake 0pp over 0 weekly runs.
Engine by engine
Snowflake leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
LangfuseSnowflake
Head to head in AI answers
0 engine answers name both brands
0Langfuse ranked higher
0Snowflake ranked higher
Features, pricing & fit
| Dimension | Langfuse | Snowflake |
|---|---|---|
| Pricing model | Usage-based | Usage-based |
| Entry price | Free; paid from $29 / mo | Contact sales |
| Free plan | Yes | No |
| Deployment | Langfuse Cloud in US, EU, Japan and HIPAA regions, or self-hosted under the MIT license | Fully managed cloud service that runs across major public clouds and regions |
| Integrations | 100+ | — |
| Compliance | SOC 2 Type II, ISO 27001, HIPAA-ready region, GDPR | ISO 27001, SOC 1, SOC 2 Type 2, FedRAMP Moderate, FedRAMP High, DoD IL4, DoD IL5, PCI-DSS, HITRUST, TISAX, ITAR, ISO 42001 |
| Support | Community support via GitHub, In-app support, Private Slack or MS Teams channel on Pro and Enterprise plans, Named lead support engineer on Enterprise plans | Support, Priority Support, Status page, Community forum |
| Founded | — | 2012 |
| Headquarters | — | Andover, KS, United States |
| Employees | — | 5,000+ |
| Funding | Seed · $4M raised | Post-IPO equity |
| Best for | Engineering teams building LLM applications and AI agents that want open-source, self-hostable tracing and evaluation | Enterprises that run data engineering, analytics and AI on governed enterprise data, including large and highly regulated organizations |
Plans side by side
Snowflake
StandardCustomconsumption-based (credits)
EnterpriseCustomconsumption-based (credits)
Business CriticalCustomconsumption-based (credits)
Virtual Private SnowflakeCustomcontact sales
Pros and cons
Themes from the AI answers that mention each brand
Langfuse
- Discounted cloud pricing for qualifying early-stage startups
- Well suited to evaluating and debugging LLM or agent behavior
Snowflake
- Multi-cloud deployment and secure, governed data sharing
- Decoupled storage and compute architecture
- Free trial with usage credits for easy getting started
- Widely adopted, most popular cloud data warehouse
- Strong for enterprise governance, high concurrency and workload isolation
- Unoptimized queries can rack up a surprisingly high bill
- Consumption pricing and credit usage are hard to predict
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Langfuse vs Snowflake”, https://slateindex.ai/compare/langfuse-vs-snowflake, data of Nov 2, 2026. Licence: CC BY 4.0.