CoralogixThe telemetry lake for smarter observability
vs
LangfuseOpen Source Agent Evals & Observability
Comparison · Observability · weekly run Nov 3
Coralogix vs Langfuse
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Coralogix is the stronger AI pick in Observability: it has a visibility score of 5 versus 1.4 for Langfuse, and ranks ahead in 0% of the answers that name both.
Choose Coralogix if…
- You want the brand AI engines rank higher (5 vs 1.4)
- You want a lower entry price ($0.06 vs $29)
- Transparent, predictable, usage-based pricing without hidden costs
- Cost-optimized log and telemetry management
Choose Langfuse if…
- You want a free plan to start
- AI answers describe it more positively (50% vs 33% positive)
- 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 | Coralogix | Langfuse |
|---|---|---|
| Visibility score | 5% | 1.4% |
| Change vs last week | New | New |
| Rank in Observability | #13 | #27 |
| Share of voice | 2.4% | 0.4% |
| Mentions this run | 14 | 2 |
| Positive in AI answers | 33% | 50% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Coralogix 0pp · Langfuse 0pp over 0 weekly runs.
Engine by engine
Coralogix leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
CoralogixLangfuse
Head to head in AI answers
1 engine answers name both brands
0Coralogix ranked higher
1Langfuse ranked higher
| Prompt | Engine | Coralogix | Langfuse |
|---|---|---|---|
| Which observability tools offer annual discounts? | Perplexity | #11 | #10 |
Features, pricing & fit
| Dimension | Coralogix | Langfuse |
|---|---|---|
| Pricing model | Usage-based | Usage-based |
| Entry price | $0.06 / mo | Free; paid from $29 / mo |
| Free plan | No · 14-day trial | Yes |
| Onboarding fee | Included | — |
| Deployment | Telemetry is stored in the customer's own cloud storage bucket, such as Amazon S3, in open formats. | Langfuse Cloud in US, EU, Japan and HIPAA regions, or self-hosted under the MIT license |
| Integrations | — | 100+ |
| Compliance | — | SOC 2 Type II, ISO 27001, HIPAA-ready region, GDPR |
| Support | 24/7 real human support included in every account, In-app chat with the Customer Success team, Median 17 second response time for support requests | 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 | 2014 | — |
| Headquarters | Boston, Massachusetts, United States | — |
| Employees | 501–1,000 | — |
| Funding | Series F · $320M raised | Seed · $4M raised |
| Best for | Engineering and operations teams that want to keep all their telemetry in their own cloud and query it with engineers or AI agents. | Engineering teams building LLM applications and AI agents that want open-source, self-hostable tracing and evaluation |
Plans side by side
Pros and cons
Themes from the AI answers that mention each brand
Coralogix
- Transparent, predictable, usage-based pricing without hidden costs
- Cost-optimized log and telemetry management
- Helps control observability costs and telemetry economics
- Reduces vendor lock-in
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, “Coralogix vs Langfuse”, https://slateindex.ai/compare/coralogix-vs-langfuse, data of Nov 3, 2026. Licence: CC BY 4.0.