HoneycombObservability built for the AI era
vs
New RelicIntelligent Observability resolves issues at scale before they impact your bottom line.
Comparison · Observability · weekly run Nov 3
Honeycomb vs New Relic
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
New Relic is the stronger AI pick in Observability: it has a visibility score of 47.1 versus 14.1 for Honeycomb, and ranks ahead in 100% of the answers that name both.
Choose Honeycomb if…
- AI answers describe it more positively (47% vs 42% positive)
- High-cardinality debugging
- Deep distributed tracing for complex distributed systems
- Predictable event-based pricing
Choose New Relic if…
- You want the brand AI engines rank higher (47.1 vs 14.1)
- You want a lower entry price ($10 vs $150)
- You need more native integrations (800+ vs 100+)
- You need FedRAMP Moderate (eligible accounts) or HIPAA eligibility or ISO 27001 or ISO 42001 AI certification coverage
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Honeycomb | New Relic |
|---|---|---|
| Visibility score | 14.1% | 47.1% |
| Change vs last week | New | New |
| Rank in Observability | #9 | #3 |
| Share of voice | 5.2% | 10.7% |
| Mentions this run | 31 | 63 |
| Positive in AI answers | 47% | 42% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Honeycomb 0pp · New Relic 0pp over 0 weekly runs.
Engine by engine
New Relic leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
HoneycombNew Relic
Head to head in AI answers
29 engine answers name both brands
0Honeycomb ranked higher
29New Relic ranked higher
| Prompt | Engine | Honeycomb | New Relic |
|---|---|---|---|
| How do I choose an observability platform for a mid-market team? | ChatGPT | #7 | #5 |
| How do I choose an observability platform for a mid-market team? | AI Mode | #4 | #3 |
| How do I choose an observability platform for a mid-market team? | Perplexity | #7 | #5 |
| What are the best observability tools in 2026? | ChatGPT | #11 | #8 |
| What are the best observability tools in 2026? | AI Mode | #11 | #5 |
| What are the best observability tools in 2026? | Perplexity | #5 | #4 |
| Top observability platform options for B2B SaaS companies | ChatGPT | #4 | #3 |
| Top observability platform options for B2B SaaS companies | AI Mode | #7 | #6 |
| Top observability platform options for B2B SaaS companies | Perplexity | #4 | #3 |
| Best observability platform for startups | ChatGPT | #10 | #9 |
| Best observability platform for startups | Perplexity | #7 | #4 |
| Best observability platform for enterprise | ChatGPT | #10 | #9 |
Features, pricing & fit
| Dimension | Honeycomb | New Relic |
|---|---|---|
| Pricing model | Usage-based | Usage-based |
| Entry price | Free; paid from $150 / mo | Free; paid from $10 / mo |
| Free plan | Yes | Yes |
| Deployment | Cloud-hosted, with a Honeycomb Private Cloud option | Cloud-based SaaS |
| Integrations | 100+ | 800+ |
| Compliance | SOC 2 Type II | SOC 2 Type II, FedRAMP Moderate (eligible accounts), HIPAA eligibility, ISO 27001, ISO 42001 AI certification |
| Support | Honeycomb Support on Pro plans, Enterprise-grade support with onboarding on Enterprise plans, Installation and enablement services as an add-on | Ticketed support, 2-hour critical initial response SLA on Pro, 1-hour critical initial response SLA and priority ticket routing on Enterprise |
| Founded | 2016 | 2008 |
| Headquarters | San Francisco, CA, United States | San Francisco, CA, United States |
| Employees | 201–500 | 1,001–5,000 |
| Funding | Series C | Post-IPO raise (not corroborated by other sources) |
| Best for | Engineering teams running distributed services and AI agents in production, including dev, ops, SRE, and platform teams | Engineers responsible for application and system uptime and reliability, and teams that want full-stack observability starting from a free tier. |
Plans side by side
New Relic
Free$0per month, one full platform user and 100 GB ingest
Standard$10per first full platform user/month; $99 per additional user (max 5)
Pro$349per full platform user/month (annual commitment); $418.80 monthly pay as you go
EnterpriseCustomcontact sales
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
New Relic
- Generous permanent free tier with 100 GB monthly ingest
- Easy setup and quick APM start with minimal upfront cost
- Unified, consumption-based pricing model
- Strong full-stack observability platform and APM pioneer
- Value and accessibility with AI-assisted querying and diagnostics
- Costs can surprise as log and trace volume scales
- Pricing requires careful cost governance and depends on usage
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Honeycomb vs New Relic”, https://slateindex.ai/compare/honeycomb-vs-new-relic, data of Nov 3, 2026. Licence: CC BY 4.0.