DatadogSee inside any stack, any app, at any scale, anywhere.
vs
LangfuseOpen Source Agent Evals & Observability
Comparison · Observability · weekly run Nov 3
Datadog vs Langfuse
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Datadog is the stronger AI pick in Observability: it has a visibility score of 69.5 versus 1.4 for Langfuse, and ranks ahead in 100% of the answers that name both.
Choose Datadog if…
- You want the brand AI engines rank higher (69.5 vs 1.4)
- You want a lower entry price ($0.05 vs $29)
- You need more native integrations (1000+ vs 100+)
- You need FedRAMP High (Datadog for Government) coverage
Choose Langfuse if…
- You want a free plan to start
- AI answers describe it more positively (50% vs 27% 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 | Datadog | Langfuse |
|---|---|---|
| Visibility score | 69.5% | 1.4% |
| Change vs last week | New | New |
| Rank in Observability | #1 | #27 |
| Share of voice | 11% | 0.4% |
| Mentions this run | 65 | 2 |
| Positive in AI answers | 27% | 50% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Datadog 0pp · Langfuse 0pp over 0 weekly runs.
Engine by engine
Datadog leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
DatadogLangfuse
Head to head in AI answers
2 engine answers name both brands
2Datadog ranked higher
0Langfuse ranked higher
| Prompt | Engine | Datadog | Langfuse |
|---|---|---|---|
| Best observability platform with AI features | Perplexity | #1 | #2 |
| Which observability tools offer annual discounts? | Perplexity | #1 | #10 |
Features, pricing & fit
| Dimension | Datadog | Langfuse |
|---|---|---|
| Pricing model | Usage-based | Usage-based |
| Entry price | $0.05 / mo | Free; paid from $29 / mo |
| Free plan | No | Yes |
| Deployment | SaaS | Langfuse Cloud in US, EU, Japan and HIPAA regions, or self-hosted under the MIT license |
| Integrations | 1000+ | 100+ |
| Compliance | FedRAMP High (Datadog for Government) | SOC 2 Type II, ISO 27001, HIPAA-ready region, GDPR |
| Support | Support plans, Services and enablement | 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 | 2010 | — |
| Headquarters | New York, NY | — |
| Employees | 1,001–5,000 | — |
| Funding | IPO | Seed · $4M raised |
| Best for | Engineering teams that maintain, optimize and secure cloud or hybrid environments | Engineering teams building LLM applications and AI agents that want open-source, self-hostable tracing and evaluation |
Plans side by side
Datadog
AI Credits$500per 500 credits per month, billed annually (on-demand $1.30 per credit)
Code Coverage$8per committer per month, billed annually (on-demand $12)
Log Management Ingest$0.1per ingested or scanned GB per month, billed annually (on-demand $0.10)
Flex Storage$0.05per million events stored per month, billed annually (on-demand $0.075)
Flex Logs Starter$0.6per million events stored per month
Pros and cons
Themes from the AI answers that mention each brand
Datadog
- Market-leading observability platform
- All-in-one platform breadth across infrastructure, APM, logs and security
- Great out-of-the-box integrations and ease of use
- AI-assisted troubleshooting and unified full-stack correlation
- Free trial available
- Rising costs at scale and sticker shock as log and trace volumes grow
- Complex, opaque billing and surprise overage fees
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, “Datadog vs Langfuse”, https://slateindex.ai/compare/datadog-vs-langfuse, data of Nov 3, 2026. Licence: CC BY 4.0.