# New Relic vs Honeycomb: A Complete Comparison for 2026
Most observability platforms compete by adding more features. **New Relic and Honeycomb stand out because they started with different ideas about how engineers should investigate production systems.** Those ideas still shape their products today.
**Honeycomb** was built around a simple belief: you can't predict every production failure in advance. Instead of relying on predefined dashboards and metrics, it encourages engineers to collect **high-cardinality, wide events** that can be explored from any angle after an incident occurs. Features like **BubbleUp** and **Canvas** reflect that philosophy, helping engineers discover unexpected patterns instead of searching for the ones they already anticipated.
**New Relic** took a different approach. It consolidated observability around **NRDB**, giving engineers a single platform where traces, logs, metrics, infrastructure, and digital experience data all live together. The focus is on reducing friction during investigations, allowing teams to move from an alert to the underlying cause without switching tools or data stores. Over time, that platform has expanded to include AI-powered investigations, digital experience monitoring, and a growing agentic ecosystem.
Today, both companies are investing heavily in **AI-assisted observability**. New Relic offers its **SRE Agent**, while Honeycomb has introduced **Canvas**, **Automated Investigations**, and MCP support. AI is no longer a differentiator on its own. Both vendors see it as a core part of the future of observability.
The biggest difference is **scope**. Honeycomb is intentionally focused on observability itself, providing powerful tools for exploring traces, logs, metrics, and frontend performance. New Relic aims to be **a complete operational platform**, adding capabilities like incident management, on-call workflows, error tracking, digital experience monitoring, and status pages alongside its core observability features. That broader platform comes with additional licensing costs as teams grow, while Honeycomb's event-based pricing follows a very different model.
This comparison isn't about deciding which philosophy is right. It's about understanding **whether your team benefits more from a specialized observability platform built for exploratory debugging or a broader platform designed to manage the entire production lifecycle**.
## Quick comparison at a glance
| Feature | New Relic | Honeycomb |
|---|---|---|
| **Primary purpose** | Full-stack observability platform | Purpose-built observability engine (traces, logs, metrics) |
| **Pricing model** | Per-user + data ingest (GB) | Event-based (per event ingested) |
| **Free tier** | Yes (100GB/month + 1 full platform user, forever) | Yes (up to 20M events/month) |
| **APM / distributed tracing** | Yes (primary strength) | Yes (primary strength, BubbleUp) |
| **Log management** | Yes (all searchable, $0.40/GB) | Yes (added late 2024, event-based) |
| **Infrastructure metrics** | Yes | Yes (GA March 2026) |
| **Code-level profiling** | Yes (thread profiling via APM agents) | No |
| **BubbleUp anomaly detection** | No | Yes (signature feature) |
| **Real user monitoring** | Yes (browser + mobile, Gartner Leader) | Frontend Observability (no session replay) |
| **Session replay** | Yes | No |
| **Error tracking** | Yes | No (errors surface within traces/logs) |
| **SLO management** | Yes | Yes (built-in, query-driven) |
| **AI investigation** | Yes (SRE Agent, Preview Feb 2026) | Yes (Canvas, Automated Investigations) |
| **MCP server** | Yes (Preview, Agentic Platform) | Yes (GA, all customers) |
| **Incident management** | Yes (Applied Intelligence + On-Call) | Not included |
| **On-call scheduling** | Via New Relic On-Call or integrations | Not included (external tools) |
| **Status pages** | No | No |
| **OTel support** | Yes (native, no surcharge) | Yes (native, first-class) |
| **Instrumentation approach** | APM agents, eBPF (eAPM), or OTel | OTel SDKs (manual per service) |
| **SOC 2 Type II** | Yes | Yes |
| **HIPAA** | Yes (Data Plus) | Yes (BAA available) |
| **FedRAMP** | Yes (Moderate, expanding to High) | No |
| **PCI DSS** | No | Yes |
---
## Platform architecture and philosophy
### New Relic: one database, priced by who needs to look at it
New Relic built NRDB as a single store for logs, metrics, traces, and events, all queryable through NRQL. The investigation workflow is the product: an alert fires and you click from the alert to the APM trace to the surrounding logs to the infrastructure state at that moment, all without switching interfaces or query languages. RUM and APM share the same backend, which is why frontend-to-backend correlation is seamless rather than configured.
OTel is native with no surcharge, the free tier (100GB/month, one full platform user, forever) is genuinely usable for small teams, and the platform covers the full lifecycle from detection through on-call to post-mortem. The pricing pressure is the seat model: full platform access costs $349/month per engineer on Pro, and for a team of 15 engineers all needing investigative access during incidents, that seat bill accumulates before a byte of telemetry applies.
### Honeycomb: columnar events, BubbleUp, and the right to ask questions you didn't plan for
Honeycomb stores all telemetry as wide events in a custom columnar data store. Every field on every event is queryable without pre-indexing, without schema declarations, and without cardinality penalties. You can attach a hundred fields to a single span, including customer ID, feature flag, deployment version, experiment variant, and whatever else is relevant, and query across all of them at sub-second speeds. This is not a theoretical advantage: Gartner Peer Insights reviewers consistently praise the query speed and the freedom to add context without worrying about cost.
BubbleUp is what engineers who have used Honeycomb consistently say they miss when they leave. Highlight a region of anomalous data in a heatmap, and BubbleUp automatically analyzes up to 2,000 attributes per span to surface which dimensions correlate most strongly with the anomaly. Instead of hypothesizing which tag might explain a latency spike, BubbleUp tells you which combination of fields distinguishes the slow requests from the normal ones. It is one of the most genuinely differentiated features in the observability space.
The scope constraint is real. Honeycomb does not include incident management, on-call scheduling, phone alerting, session replay, standalone error tracking, or status pages. Honeycomb's own engineering team uses PagerDuty for on-call. If you choose Honeycomb, you choose to manage those additional vendor relationships. For teams that already have mature tooling in those areas and just want a better observability layer, that's a reasonable trade. For teams that want one bill and one platform, it's not.
| Architectural factor | New Relic | Honeycomb |
|---|---|---|
| Data storage | NRDB (unified, proprietary) | Columnar data store (wide events) |
| Query language | NRQL (unified, proprietary) | Honeycomb query builder (proprietary) |
| Instrumentation | APM agents, eBPF (eAPM), or OTel | OTel SDKs (manual per service) |
| High-cardinality support | Yes (no cardinality penalties) | Yes (core design principle) |
| BubbleUp anomaly detection | No | Yes (signature feature) |
| Full incident lifecycle | Yes (On-Call, Applied Intelligence) | No (external tools required) |
| Cost pressure grows with | Engineer headcount needing full access | Event volume |
| OTel support | Yes (native, no surcharge) | Yes (native, first-class) |
[summary]
### Neither platform covers the full reliability picture
Both platforms focus on telemetry and investigation. Neither includes built-in on-call scheduling with phone and SMS delivery or customer-facing status pages. Better Stack brings all of that together alongside logs, metrics, and traces, so you can go from alert to post-mortem without switching tools.
**From heartbeat monitoring to incident timelines to status pages, one platform for the whole reliability lifecycle.** [Start free.](https://betterstack.com)
[/summary]
---
## APM and distributed tracing
Both platforms have genuine APM depth and both are OTel-native with no surcharge. The differences are in investigation philosophy, instrumentation approach, and what depth means in practice.
### New Relic: thread-level depth with seamless cross-signal navigation
New Relic offers language-specific APM agents alongside eBPF-based eAPM for zero-code Kubernetes instrumentation. Thread-level CPU profiling shows exactly which function is consuming cycles in production. Infinite Tracing retains the most significant traces out of 100% of collected data without blind sampling. APM 360 connects frontend sessions to backend traces within the same interface because RUM and APM share NRDB, so the investigation that starts with a slow user session can follow the full request through the backend without configuration.
### Honeycomb: wide-event tracing with BubbleUp and a query engine that rewards curiosity
Honeycomb's tracing is built around the wide-event model: every span can carry hundreds of custom fields, all queryable at sub-second speed. The Service Map provides a dynamic, query-driven view of service dependencies that reflects live data rather than a static topology. Waterfall views show which services contribute latency across complex request flows.
BubbleUp is where Honeycomb's APM investigation becomes distinctly its own. The standard workflow for debugging a latency spike is to form a hypothesis, filter the data, check if the hypothesis holds, form another hypothesis. BubbleUp skips most of that by automatically comparing slow spans against baseline spans across up to 2,000 attributes simultaneously. It tells you which dimensions distinguish the problem from normal behavior before you've had to guess.
The instrumentation tradeoff is real. Honeycomb requires OTel SDKs installed in every service, with per-language configuration and ongoing library maintenance. For polyglot environments running five or six different languages, that's ongoing engineering overhead. New Relic's eAPM uses eBPF to capture traces at the kernel level with zero code changes, and its Agent Skills for Claude Code and Cursor can help automate OTel instrumentation, but the work still falls to your team.
| APM / tracing | New Relic | Honeycomb |
|---|---|---|
| Instrumentation | APM agents, eBPF (eAPM), or OTel | OTel SDKs (manual per service) |
| OTel support | Yes (native, no surcharge) | Yes (native, first-class) |
| BubbleUp anomaly surfacing | No | Yes (signature feature) |
| Code-level profiling | Yes (thread profiling via APM agents) | No |
| Frontend-to-backend correlation | Seamless (shared NRDB backend) | Via Frontend Observability (Enterprise) |
| High-cardinality custom fields | Yes | Yes (unlimited, core strength) |
| Time to first trace | Minutes (eBPF) or hours (OTel) | Hours to days (per-service SDK install) |
[summary]
### APM without per-seat or per-event math
Both New Relic and Honeycomb include APM in pricing models that grow with user headcount or event volume. Better Stack's tracing is priced purely by data volume with no span indexing fees and no cardinality penalties, and the AI SRE activates automatically during incidents to investigate root cause before you have to ask.
**Full-fidelity distributed tracing from every service, priced by volume with no surprises.** [Explore Better Stack tracing.](https://betterstack.com/tracing)
[/summary]
---
## Log management
Both platforms make logs a first-class signal rather than an afterthought, but they approach log management from opposite directions. New Relic treats logs as another signal type in NRDB, queryable through NRQL alongside traces and metrics. Honeycomb added log analytics in late 2024, treating logs as wide events in its columnar store. The approaches produce different strengths.
### New Relic: all logs searchable through NRQL, flat per-GB pricing
New Relic charges $0.40/GB past the 100GB/month free tier and makes every ingested log searchable through NRQL. No indexing decisions, no archive tiers, no rehydration. AI alert summarization generates a hypothesis when a log-triggered alert fires. Seven-year retention without rehydration is available. Cross-signal correlation works naturally because logs and traces share the same backend.
### Honeycomb: event-based log analytics with BubbleUp-powered investigation
Honeycomb for Log Analytics treats logs as structured events in the same columnar store as traces. The Logs homepage surfaces insights immediately, and from any log event you can jump to the associated trace in one click because the data is unified. BubbleUp works on log data the same way it works on traces: select an anomalous region and it automatically surfaces which fields correlate with the pattern.
The important nuance: Honeycomb's log analytics is built around structured events. It works beautifully for well-formed JSON logs. Unstructured logs, legacy application output, and mixed-format streams require pre-processing via Honeycomb Telemetry Pipeline before they can be stored as events. If your logs are already structured, this is not a problem. If they're not, it's meaningful setup work that New Relic's log ingestion handles more transparently.
Honeycomb Telemetry Pipeline's Pipeline Intelligence (launched March 2026) uses AI to automatically detect log types and build parsing pipelines, which reduces this friction significantly. But it's still a step that New Relic skips.
| Log management | New Relic | Honeycomb |
|---|---|---|
| Query language | NRQL (unified with traces/metrics) | Honeycomb query builder |
| All logs searchable | Yes | Yes (structured events) |
| Unstructured log handling | Native | Requires Pipeline processing |
| Pricing model | $0.40/GB (100GB/month free) | Event-based (same pool as traces) |
| BubbleUp on logs | No | Yes |
| Log analytics maturity | Established | Added late 2024 |
| Trace correlation | Seamless (same backend) | Automatic (same data store) |
[summary]
### Log search with no indexing tax
Both New Relic and Honeycomb make ingested logs searchable without a separate indexing decision. Better Stack stores logs in a unified warehouse with SQL querying and no per-event charges. You pay for what you send, and all of it is searchable.
**Unified log management with SQL search, live tail, and no indexing surprises.** [See how it works.](https://betterstack.com/logs)
[/summary]
---
## Infrastructure metrics
Both platforms added metrics as a genuine signal type rather than retrofitting them awkwardly. Neither charges cardinality penalties in the way Datadog's custom metric billing does. The differences are in pricing model, query compatibility, and maturity.
### New Relic: Prometheus-compatible, no cardinality penalties, gated by seat
New Relic's infrastructure monitoring covers Linux, Windows, and macOS with cloud integrations for AWS, Azure, and GCP. Prometheus-compatible with no cardinality penalties. The access restriction applies here as everywhere: viewing infrastructure data during an incident requires a full platform seat at $349/month on Pro.
### Honeycomb: metrics derived from wide events, GA March 2026
Honeycomb Metrics reached general availability in March 2026 and takes an unconventional approach: rather than maintaining a separate time series database, Honeycomb derives metrics from the same wide events that store traces and logs. Every span field can become a queryable metric. Promotional pricing starts at $2 per 1,000 time series per month through mid-2026.
The advantage of this approach is that Honeycomb's metrics inherit the same high-cardinality, BubbleUp-powered investigation as everything else. When a metric shows anomalous behavior, you can drill into the underlying events rather than staring at an aggregate number. Notion, a Honeycomb customer, highlighted this as allowing collection of time series data with dimensions like host IDs and container metadata without cardinality concerns.
The honest caveat: Honeycomb Metrics is newer. Teams already running mature Prometheus pipelines and relying on full PromQL compatibility will find New Relic's infrastructure monitoring more immediately usable. Honeycomb's query model is different from PromQL, and the ecosystem integrations for standard Prometheus exporters are less established.
Every engineer at your organization can view Honeycomb metrics without a seat fee. On New Relic, that requires a full platform license.
| Infrastructure metrics | New Relic | Honeycomb |
|---|---|---|
| Cardinality penalties | No | No |
| PromQL support | Yes (native) | Limited (different query model) |
| Metrics from events | No (separate signal) | Yes (derived from wide events) |
| Access to view metrics | Full platform user required ($349/month) | All users |
| GA maturity | Established | March 2026 |
| Pricing model | Included in ingest + user license | Per 1,000 time series/month |
[summary]
### Infrastructure metrics that connect to the full reliability workflow
Both platforms charge for infrastructure telemetry in ways tied to either user seats or event volume. Better Stack takes a different approach: no per-host fees, no cardinality penalties, and infra metrics that live alongside uptime monitors, on-call schedules, and incident timelines.
**Infrastructure monitoring connected to alerting, on-call, and incident management, all in one place.** [Get started free.](https://betterstack.com)
[/summary]
---
## Digital experience monitoring
New Relic has a more complete DEM suite and is a two-time consecutive Gartner Magic Quadrant Leader in digital experience monitoring. Honeycomb's Frontend Observability is focused on Core Web Vitals debugging with BubbleUp rather than traditional RUM with session replay and product analytics.
### New Relic: full DEM suite with session replay and broad mobile coverage
New Relic covers Browser RUM, Mobile RUM across iOS, Android, React Native, and Flutter, Session Replay, Synthetic Monitoring, Product Analytics, and Experiments. Session replay lets you watch exactly what a user experienced when they hit a bug. Frontend-to-backend correlation is seamless because RUM and APM share NRDB. Each component is a separate SKU on the bill.
### Honeycomb: BubbleUp-powered CWV debugging, no session replay
Honeycomb for Frontend Observability captures Core Web Vitals with BubbleUp attribution data. An OTel-based NPM package collects CWV data, and BubbleUp analyzes which elements, scripts, and page characteristics correlate with poor LCP, CLS, or INP scores. The React Native SDK in beta extends this to mobile for Enterprise customers.
What this is: a powerful debugging tool for understanding why Core Web Vitals are poor and which subsets of users are experiencing degraded performance. What this is not: session replay, product analytics, funnel analysis, website analytics with UTM tracking, or traditional RUM dashboards tracking user counts and engagement metrics. If those capabilities matter for your product and engineering team, you need New Relic's DEM suite or a separate tool.
| Digital experience | New Relic | Honeycomb |
|---|---|---|
| Browser RUM | Yes (Gartner DEM Leader, 2x) | CWV with BubbleUp attribution |
| Mobile RUM | Yes (iOS, Android, React Native, Flutter) | React Native (beta, Enterprise) |
| Session replay | Yes | No |
| Synthetic monitoring | Yes | No |
| Product analytics | Yes | No |
| BubbleUp for CWV | No | Yes (differentiator) |
| Availability | All plans | Enterprise only |
---
## AI capabilities
Both companies have invested meaningfully in AI, and both have MCP servers generally available or very close to it. The orientation differs: New Relic's AI is proactive and fires at alert time, Honeycomb's is deeper in investigation tooling and has a more mature in-product experience.
### New Relic: SRE agent that fires without prompting, mostly still in preview
The SRE Agent, launched February 2026, fires automatically when an alert triggers and begins investigating without prompting. By the time you open your laptop it has typically identified a likely root cause from APM traces, logs, and recent deployments. The Agentic Platform adds a no-code agent builder, orchestration, and MCP support. Applied Intelligence, which groups related alerts and generates summaries, is GA today. The honest caveat: the SRE Agent and most of the Agentic Platform remain in Preview.
### Honeycomb: Canvas, Automated Investigations, and the deepest MCP integration in the observability space
Honeycomb's AI suite is genuinely impressive and represents one of the platform's strongest differentiators in 2026. Canvas is an embedded AI copilot that answers natural-language observability questions, generates queries, surfaces insights, and guides investigations with chain-of-thought reasoning showing exactly which tool calls were made. The Canvas Slackbot extends this into Slack channels so you can ask observability questions in the context of an incident.
Automated Investigations (early access) activate when an alert fires or an SLO burns, autonomously conducting investigations and recommending solutions using the same playbooks your best SREs would follow. This is the closest Honeycomb comes to New Relic's proactive SRE Agent.
The Honeycomb MCP server is GA and connects Cursor, Claude Code, Amazon Q Developer, and other AI-powered IDEs directly to your observability data. Agent Skills for Claude Code and Cursor extend to instrumentation help (migrating legacy telemetry to OTel) as well as investigation. Case studies highlight real production use: a Fortune 500 retailer used MCP for real-time Black Friday insights, a streaming service connected Honeycomb and Slack MCPs to surface root cause from support requests.
Anomaly Detection learns what normal looks like for your applications and automatically surfaces genuine issues without manual threshold configuration. This proactive capability is more mature than New Relic's Watchdog in its integration with Honeycomb's investigation workflow.
The one dimension where New Relic has an edge: its SRE Agent fires proactively at alert time without requiring you to initiate anything. Honeycomb's Automated Investigations also fire autonomously, but the feature is in early access. Canvas is available now but requires you to start the conversation.
| AI capability | New Relic | Honeycomb |
|---|---|---|
| Proactive investigation (fires on alert) | Yes (SRE Agent, Preview) | Automated Investigations (early access) |
| In-product AI copilot | Applied Intelligence (alert grouping) | Canvas (deeper, investigation-focused) |
| MCP server | Yes (Preview) | Yes (GA, Claude Code, Cursor, Amazon Q) |
| Anomaly detection | Applied Intelligence | Yes (proactive, zero-config) |
| Agent Skills for instrumentation | No | Yes (Claude Code, Cursor) |
| Slack AI integration | No | Canvas Slackbot |
| Chain-of-thought reasoning | No | Yes (Canvas shows its work) |
| GA status | Applied Intelligence GA; SRE Agent Preview | Canvas GA; Automated Investigations early access |
[summary]
### AI that also wakes someone up
Both platforms have AI investigation features. What neither one includes is a direct path from a root cause hypothesis to an on-call notification and a customer-facing status page update. Better Stack's AI SRE connects to the full incident lifecycle so the investigation and the response happen in the same place.
**Autonomous root cause investigation connected to on-call, incidents, and status pages.** [See the AI SRE.](https://betterstack.com)
[/summary]
---
## Incident management and alerting
New Relic comes closer to owning the incident response workflow. Honeycomb covers alerting and SLOs and stops there, deferring everything else to external tools.
New Relic's Applied Intelligence groups related alerts and generates AI-driven summaries, SLO tracking monitors error budgets with burn rate alerting, and on-call scheduling comes through New Relic On-Call or PagerDuty and OpsGenie integrations. Phone and SMS delivery requires those external tools.
Honeycomb's triggers fire when query conditions are met, and SLOs track error budgets with good granularity: up to 100 SLOs on Enterprise, query-driven so you can define objectives on any field combination rather than just pre-defined metrics. The SLO Reporting API makes SLO data accessible programmatically. When a trigger fires, it sends a webhook to an external system. No on-call scheduling, no escalation policies, no phone delivery, no post-mortems.
Honeycomb's own engineering team uses PagerDuty for on-call. Five responders on PagerDuty Professional run $245 to $415 per month on top of Honeycomb's costs. New Relic's native On-Call avoids that separate vendor, though it is an add-on rather than included in the base license.
| Incident management | New Relic | Honeycomb |
|---|---|---|
| Native incident management | Yes (Applied Intelligence + On-Call) | No (webhooks only) |
| On-call scheduling | Via New Relic On-Call or external | Not included |
| Phone/SMS delivery | Via New Relic On-Call or external | Not included |
| SLO management | Yes | Yes (built-in, query-driven, up to 100 SLOs) |
| AI alert grouping | Yes (Applied Intelligence, GA) | No |
| Status pages | No | No |
---
## Pricing comparison
The pricing comparison has a nuance that gets missed in simple side-by-side tables: Honeycomb's event-based model and New Relic's seat-based model produce very different outcomes depending on two variables: team size and data volume.
New Relic's bill: ingest at $0.40/GB past the free 100GB/month, plus $349/month per full platform user on Pro. For small teams, the free tier is genuinely usable indefinitely. For teams of 15 or 20 engineers all needing investigative access during on-call, the seat bill starts before any telemetry is counted.
Honeycomb's bill: up to 20M events per month free on the community plan, then starting at $130/month for 100M events on Pro, scaling to Enterprise with custom pricing from a 10 billion event per year base allowance. Metrics add $2 per 1,000 time series per month at promotional rates. Every engineer can see the data without a seat fee, but you add PagerDuty, Sentry, and Statuspage separately.
**Scenario: 15 engineers needing full access, 500GB/month mixed telemetry**
| Cost component | New Relic (Pro, annual) | Honeycomb (Enterprise est.) |
|---|---|---|
| Platform license | $5,235/month (15 x $349) | Custom (event volume-based) |
| Data ingest (500GB, minus free) | ~$160/month | Included in event pricing |
| On-call (5 responders, PagerDuty) | ~$245-415/month | ~$245-415/month (required) |
| Error tracking (Sentry) | Included in New Relic | ~$26-80/month (external) |
| Status pages | Not included | Not included |
| **Estimated monthly total** | **~$5,640-5,810/month + any event overages** | **Event-based + $271-495/month tooling** |
The gap in this scenario is seat-driven. New Relic's cost at 15 engineers is dominated by seat fees, not telemetry. Honeycomb's cost at the same scale is event-driven with no per-seat penalty, but the mandatory external tooling adds fixed costs regardless of team size.
The scenario inverts for small teams: two engineers on New Relic can run for free on the 100GB/month tier indefinitely. Two engineers on Honeycomb's free plan get 20M events/month. Depending on instrumentation density, 20M events can be meaningful for a small service, but the New Relic free tier includes more signal types (APM, infrastructure, logs, limited RUM) in a unified platform.
| Pricing factor | New Relic | Honeycomb |
|---|---|---|
| Free tier | Yes (100GB + 1 full user, forever) | Yes (20M events/month) |
| Per-user fee | Yes ($349/month Pro annual) | No |
| Unlimited engineers can view data | No (seat required) | Yes |
| OTel surcharges | No | No |
| Cardinality penalties | No | No |
| On-call included | Via On-Call add-on | Not included |
| Error tracking included | Yes | Not included |
[summary]
### Enterprise observability without the multi-vendor model
Both New Relic and Honeycomb require external tools for on-call scheduling and status pages. Better Stack consolidates logs, metrics, traces, on-call scheduling, incident management, and status pages into one platform with one bill.
**Fewer vendors, fewer context switches, and a single place for the full reliability workflow.** [Talk to us.](https://betterstack.com)
[/summary]
---
## Compliance and enterprise readiness
Honeycomb has a broader compliance portfolio than New Relic in several areas, and its Private Cloud deployment options cover regulated industries that New Relic can't serve.
New Relic holds SOC 2 Type II, HIPAA on Data Plus, and FedRAMP Moderate with stated expansion toward High. For government and regulated industries, New Relic's FedRAMP is a meaningful advantage Honeycomb doesn't currently offer.
Honeycomb holds SOC 2 Type II, HIPAA (with BAA available for Pro and Enterprise customers), and PCI DSS as a merchant. The Private Cloud launched in late 2025 provides single-tenant, multi-tenant, customer-hosted, and self-managed deployment options for organizations with strict data privacy requirements. Secure Tenancy (patented) keeps data encrypted with customer-managed keys, decrypted only in the customer's browser. AWS PrivateLink is available for Enterprise customers. Data residency in US, EU, and APAC regions.
For financial services and healthcare organizations that need HIPAA compliance and are not in FedRAMP-required environments, Honeycomb's compliance posture is at least equivalent to New Relic's. For government or FedRAMP-mandated environments, New Relic is currently the only option between the two.
| Compliance and enterprise | New Relic | Honeycomb |
|---|---|---|
| SOC 2 Type II | Yes | Yes |
| HIPAA | Yes (Data Plus) | Yes (BAA available) |
| FedRAMP | Yes (Moderate, expanding to High) | No |
| PCI DSS | No | Yes |
| Private Cloud / self-managed | No | Yes |
| Customer-managed encryption | No | Yes (Secure Tenancy) |
| Data residency | US, EU | US, EU, APAC |
| SSO / SAML | Yes | Yes |
---
## What each platform genuinely lacks
**New Relic gaps worth knowing:**
1. Seat costs at $349/month per full platform user compound quickly for larger engineering teams.
2. No self-hosted or air-gapped deployment at any tier.
3. No PCI DSS compliance.
4. No BubbleUp-equivalent for automated anomaly attribution.
5. SRE Agent and most of the Agentic Platform remain in Preview.
6. Canvas-equivalent in-product AI investigation is not as mature as Honeycomb's.
7. Session replay, product analytics, and other DEM features are separate SKUs.
8. No status pages.
**Honeycomb gaps worth knowing:**
1. No incident management, on-call scheduling, or phone/SMS delivery.
2. No status pages.
3. No session replay or traditional RUM product analytics.
4. No standalone error tracking with issue assignment workflows.
5. No FedRAMP authorization.
6. Metrics product is new (GA March 2026) with less established Prometheus-native integration.
7. Unstructured logs require pre-processing via Telemetry Pipeline before ingestion.
8. Frontend Observability is Enterprise-only and limited to Core Web Vitals, not full RUM.
9. Proprietary query language means the investigation skills your team develops in Honeycomb don't transfer.
---
## Final thoughts
After comparing the two platforms, **the decision comes down to how much of your reliability stack you want a single vendor to provide**.
If your team already has solid solutions for **on-call scheduling, incident management, and error tracking**, Honeycomb is an outstanding choice. It stays focused on observability and does it exceptionally well. Features like **BubbleUp** remain genuinely differentiated, its support for high-cardinality telemetry makes exploratory debugging feel natural, and newer capabilities like **Canvas** and its MCP integration put it among the leaders in AI-assisted investigations. Just as importantly, **every engineer can access production data without worrying about per-seat licensing**, making it easy to give the entire engineering team visibility into live systems.
New Relic takes a broader view of reliability. Instead of focusing only on observability, it brings together **APM, infrastructure monitoring, logs, error tracking, real user monitoring, on-call workflows, and AI-powered investigations** in one platform. That integrated experience reduces the number of tools teams need to operate and can simplify incident response considerably. For smaller engineering organizations, the generous free tier also makes it an attractive starting point, while enterprises with **FedRAMP requirements** will find stronger compliance support.
Neither approach is inherently better. **Honeycomb optimizes for depth, while New Relic optimizes for breadth.** If observability is the capability you're trying to improve, Honeycomb is one of the strongest products available. If you're looking for a platform that supports the entire reliability lifecycle, New Relic offers a more complete solution.
Before making a decision, ask one simple question: **Are you looking for the best observability tool, or are you looking for the fewest observability tools?** Your answer will usually point you toward the platform that's the better fit.
[summary]
### One thing neither covers: the full reliability layer
Neither New Relic nor Honeycomb includes uptime monitoring, on-call scheduling with phone and SMS, incident management, and customer-facing status pages as a unified product. Better Stack brings all of that together with logs, metrics, and traces, with usage-based pricing and no per-seat fees.
**The full reliability lifecycle in one place. Start free, no credit card required.** [Try Better Stack.](https://betterstack.com)
[/summary]