ClickHouseThe leading database for AI
vs
LangfuseOpen Source Agent Evals & Observability
Comparison · Observability · weekly run Nov 3
ClickHouse vs Langfuse
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Langfuse is the stronger AI pick in Observability: it has a visibility score of 1.4 versus 0.9 for ClickHouse.
Choose ClickHouse if…
- You want a lower entry price ($0.218 vs $29)
- AI answers describe it more positively (58% vs 50% positive)
- You need HIPAA or PCI coverage
- fast real-time analytics
Choose Langfuse if…
- You want the brand AI engines rank higher (1.4 vs 0.9)
- You want a free plan to start
- You need a self-hosted or on-premises option
- You need SOC 2 Type II or ISO 27001 or HIPAA-ready region or GDPR coverage
AI visibility side by side
Latest weekly run · Nov 3
| Metric | ClickHouse | Langfuse |
|---|---|---|
| Visibility score | 0.9% | 1.4% |
| Change vs last week | New | New |
| Rank in Observability | #31 | #27 |
| Share of voice | 0.3% | 0.4% |
| Mentions this run | 2 | 2 |
| Positive in AI answers | 58% | 50% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
ClickHouse 0pp · Langfuse 0pp over 0 weekly runs.
Engine by engine
Langfuse leads on 1 of 3 engines
ChatGPT
AI Mode
Perplexity
ClickHouseLangfuse
Head to head in AI answers
0 engine answers name both brands
0ClickHouse ranked higher
0Langfuse ranked higher
Features, pricing & fit
| Dimension | ClickHouse | Langfuse |
|---|---|---|
| Pricing model | Usage-based | Usage-based |
| Entry price | $0.218 / mo | Free; paid from $29 / mo |
| Free plan | No · 30-day trial | Yes |
| Deployment | ClickHouse Cloud on AWS, GCP and Azure, self-managed open-source installs, and Bring Your Own Cloud within the customer's own VPC. | Langfuse Cloud in US, EU, Japan and HIPAA regions, or self-hosted under the MIT license |
| Integrations | 100+ | 100+ |
| Compliance | HIPAA, PCI | SOC 2 Type II, ISO 27001, HIPAA-ready region, GDPR |
| Support | Expert support with 1 business day response time on Basic, Expert support with 1 hour response time on Scale, Enterprise support with 30 min response time for Severity 1 issues, Named Lead Support Engineer on Enterprise | 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 |
| Founded | 2009 | — |
| Headquarters | Palo Alto, CA, United States | — |
| Employees | 501–1,000 | — |
| Funding | Series D, led by Dragoneer | Seed · $4M raised |
| Best for | Developers and data teams that need real-time queries on large datasets at an affordable cost, including teams adding a speed layer on top of an existing data warehouse or OLTP database. | Engineering teams building LLM applications and AI agents that want open-source, self-hostable tracing and evaluation |
Plans side by side
ClickHouse
Basic$0.218per compute unit / hr
Scale$0.299per compute unit / hr
Enterprise$0.39per compute unit / hr
Pros and cons
Themes from the AI answers that mention each brand
ClickHouse
- fast real-time analytics
- high-concurrency analytics performance
- strong for observability and log analytics
- $300 credits and 30-day trial
- best raw performance-to-cost ratio
- self-hosting requires scaling and maintenance work
- efficient operation at very large scale needs specialized expertise
- specialist option rather than broad enterprise warehouse replacement
Langfuse
- Discounted cloud pricing for qualifying early-stage startups
- Well suited to evaluating and debugging LLM or agent behavior
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “ClickHouse vs Langfuse”, https://slateindex.ai/compare/clickhouse-vs-langfuse, data of Nov 3, 2026. Licence: CC BY 4.0.