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HoneycombObservability built for the AI era
vs
TempoOpen-source, high-scale distributed tracing backend
Comparison · Observability · weekly run Nov 3

Honeycomb vs Tempo

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 7.1 for Tempo, and ranks ahead in 42% of the answers that name both.

Choose Honeycomb if…

  • You want the brand AI engines rank higher (14.1 vs 7.1)
  • AI answers describe it more positively (47% vs 6% positive)
  • You need SOC 2 Type II coverage
  • High-cardinality debugging

Choose Tempo if…

  • You need a self-hosted or on-premises option
  • You need SOC 2 or ISO/IEC 27001 or ISO 22301 or PCI DSS v4.0.1 or GDPR or FedRAMP High or TISAX or CSA STAR or TX-RAMP Level 2 coverage
  • You prefer a larger, established vendor (1,001–5,000 employees)
  • Open-source and cost-effective

AI visibility side by side

Latest weekly run · Nov 3

Metric Honeycomb Tempo
Visibility score14.1%7.1%
Change vs last weekNewNew
Rank in Observability#9#12
Share of voice5.2%3.1%
Mentions this run3118
Positive in AI answers47%6%

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

0%25%50%75%100%Nov 3Honeycomb 14%

Honeycomb 0pp · Tempo 0pp over 0 weekly runs.

Engine by engine

Honeycomb leads on 3 of 3 engines

ChatGPT
15.2%
8%
AI Mode
13%
11.5%
Perplexity
14.3%
1.9%
HoneycombTempo

Head to head in AI answers

12 engine answers name both brands

5Honeycomb ranked higher
7Tempo ranked higher

Features, pricing & fit

DimensionHoneycombTempo
Pricing modelUsage-based—
Entry priceFree; paid from $150 / mo—
Free planYes—
DeploymentCloud-hosted, with a Honeycomb Private Cloud optionManaged as Grafana Cloud or self-hosted on Kubernetes via Helm
Integrations100+—
ComplianceSOC 2 Type IISOC 2, ISO/IEC 27001, ISO 22301, PCI DSS v4.0.1, GDPR, FedRAMP High, TISAX, CSA STAR, TX-RAMP Level 2
SupportHoneycomb Support on Pro plans, Enterprise-grade support with onboarding on Enterprise plans, Installation and enablement services as an add-on—
Founded2016—
HeadquartersSan Francisco, CA, United StatesNew York, NY
Employees201–5001,001–5,000
FundingSeries CSeries E · $1100M raised
Best forEngineering teams running distributed services and AI agents in production, including dev, ops, SRE, and platform teams—

Plans side by side

Honeycomb

Free$0free forever
Pro$150per month
EnterpriseCustomcustom
Honeycomb pricing

Tempo

Pricing not available.

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

Tempo

  • Open-source and cost-effective
  • Mature Prometheus, Loki and Grafana ecosystem
  • Distributed tracing for traces
  • Integrates smoothly with OpenTelemetry
  • Managed option with a permanent free tier
  • Demands significant internal engineering time to maintain and scale

Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run

Cite as: SlateIndex, “Honeycomb vs Tempo”, https://slateindex.ai/compare/honeycomb-vs-tempo, data of Nov 3, 2026. Licence: CC BY 4.0.