Honeycomb vs Uptrace
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Honeycomb is the stronger AI pick in Observability: it has a visibility score of 14.1 versus 0.7 for Uptrace, and ranks ahead in 100% of the answers that name both.
Choose Honeycomb if…
- You want the brand AI engines rank higher (14.1 vs 0.7)
- You need SOC 2 Type II coverage
- You prefer a larger, established vendor (201–500 employees)
- High-cardinality debugging
Choose Uptrace if…
- You need a self-hosted or on-premises option
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Honeycomb | Uptrace |
|---|---|---|
| Visibility score | 14.1% | 0.7% |
| Change vs last week | New | New |
| Rank in Observability | #9 | #32 |
| Share of voice | 5.2% | 0.4% |
| Mentions this run | 31 | 2 |
| Positive in AI answers | 47% | — |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Honeycomb 0pp · Uptrace 0pp over 0 weekly runs.
Engine by engine
Honeycomb leads on 3 of 3 engines
Head to head in AI answers
2 engine answers name both brands
| Prompt | Engine | Honeycomb | Uptrace |
|---|---|---|---|
| How do I choose an observability platform for a mid-market team? | Perplexity | #7 | #13 |
| How much does an observability platform cost per month? | Perplexity | #4 | #6 |
Features, pricing & fit
| Dimension | Honeycomb | Uptrace |
|---|---|---|
| Pricing model | Usage-based | Usage-based |
| Entry price | Free; paid from $150 / mo | Contact sales |
| Free plan | Yes | Yes |
| Deployment | Cloud-hosted, with a Honeycomb Private Cloud option | Uptrace Cloud, or self-hosted with Docker, Ansible or Kubernetes, or on-premises with a license |
| Integrations | 100+ | — |
| Compliance | SOC 2 Type II | — |
| Support | Honeycomb Support on Pro plans, Enterprise-grade support with onboarding on Enterprise plans, Installation and enablement services as an add-on | 16/5 enterprise support across EU and US business hours, Email and scheduled calls, Dedicated support engineer on on-premises plans |
| Founded | 2016 | — |
| Headquarters | San Francisco, CA, United States | Chisinau, Moldova |
| Employees | 201–500 | 1–10 |
| Funding | Series C | Bootstrapped |
| Best for | Engineering teams running distributed services and AI agents in production, including dev, ops, SRE, and platform teams | Engineering teams that run OpenTelemetry and want traces, metrics and logs in one platform at predictable cost. |
Plans side by side
Uptrace
Pros and cons
Themes from the AI answers that mention each brand
Honeycomb
- High-cardinality debugging
- Deep distributed tracing for complex distributed systems
- Predictable event-based pricing
- Highly rated by Gartner Peer Insights
- Recognized as a visionary for high-cardinality data exploration
- Self-hosted backend must be managed and scaled by the team
Uptrace
Profile in progress.
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Honeycomb vs Uptrace”, https://slateindex.ai/compare/honeycomb-vs-uptrace, data of Nov 3, 2026. Licence: CC BY 4.0.