Decision comparison
Lightstep (now ServiceNow Cloud Observability) vs Honeycomb
Choose Lightstep when your organization is standardizing on ServiceNow Cloud Observability and needs OpenTelemetry-native distributed tracing for microservice performance. Choose Honeycomb when engineers need a self-service free entry point, high-context unified telemetry, sub-second investigation workflows, telemetry pipelines, or dedicated LLM observability capabilities.
Lightstep (now ServiceNow Cloud Observability) is no longer available as an active product
ServiceNow acquired Lightstep on 15 June 2021 and renamed it ServiceNow Cloud Observability. ServiceNow ended support for Cloud Observability from 1 March 2026, or a customer's later subscription end date, and says it is not planning to offer an equivalent product on its platform. Checked on 5 October 2026 against ServiceNow's end-of-life notice. Retain this listing as historical context.
Direct comparison. These are reviewed substitutes bought for the same job, so the differences below are the ones that decide between them.
All 2 are observability platforms.
Quick Comparison
| Decision factor | Lightstep (now ServiceNow Cloud Observability) | Honeycomb |
|---|---|---|
| Best For | Enterprise microservices teams needing distributed tracing and OpenTelemetry-native monitoring within the ServiceNow Cloud Observability commercial ecosystem. | Engineering teams investigating high-cardinality distributed systems or LLM behavior with fast exploratory queries, rich context, and AI assistance. |
| Architecture | ServiceNow Cloud Observability platform focused on distributed tracing, service performance monitoring, and OpenTelemetry-native telemetry collection for microservice environments. | Purpose-built columnar observability datastore unifying traces, logs, custom metrics, service maps, SLOs, telemetry pipelines, and OpenTelemetry data. |
| Pricing Model | Lightstep is now ServiceNow Cloud Observability, which ServiceNow supports through March 1, 2026 or the end of the subscription term. Pricing is by ServiceNow quote; no current price is published. | Free: $0 per month, free forever, for up to 20 million events and 100 million metrics data points per month. Pro: starts at $150 per month for 50 million events, and scales up to 750 million events and 3.75 billion metrics data points per month; it is sold as a monthly or annual subscription. Enterprise: custom pricing with volume discounts, starting from a base allowance of 10 billion events per year. Honeycomb keeps events and metrics for 60 days; longer retention is an Enterprise add-on, priced on request. The Telemetry Pipeline add-on starts at $0.10 per GB. Verified 2026-10-09 against https://www.honeycomb.io/pricing. |
| Ease of Use | OpenTelemetry-native support can simplify instrumenting distributed services, while purchasing and deployment evaluation require engagement with ServiceNow sales. | Sub-second queries, Query Builder, BubbleUp, Canvas copilot, and IDE access through Honeycomb MCP accelerate exploratory debugging workflows. |
| Scalability | Designed to monitor distributed microservices through tracing; current public materials do not specify ingestion or retention limits. | Custom columnar datastore handles high telemetry volume and complexity; pipelines collect, enrich, filter, sample, route, and shape events. |
| Community/Support | Commercial support is delivered through ServiceNow Cloud Observability; our research does not identify a separate public community program. | Free and Pro tiers support self-service adoption; Enterprise provides dedicated support, SSO SAML, negotiated volumes, and private-cloud support. |
Lightstep (now ServiceNow Cloud Observability)
- Best For:
- Enterprise microservices teams needing distributed tracing and OpenTelemetry-native monitoring within the ServiceNow Cloud Observability commercial ecosystem.
- Architecture:
- ServiceNow Cloud Observability platform focused on distributed tracing, service performance monitoring, and OpenTelemetry-native telemetry collection for microservice environments.
- Pricing Model:
- Lightstep is now ServiceNow Cloud Observability, which ServiceNow supports through March 1, 2026 or the end of the subscription term. Pricing is by ServiceNow quote; no current price is published.
- Ease of Use:
- OpenTelemetry-native support can simplify instrumenting distributed services, while purchasing and deployment evaluation require engagement with ServiceNow sales.
- Scalability:
- Designed to monitor distributed microservices through tracing; current public materials do not specify ingestion or retention limits.
- Community/Support:
- Commercial support is delivered through ServiceNow Cloud Observability; our research does not identify a separate public community program.
Honeycomb
- Best For:
- Engineering teams investigating high-cardinality distributed systems or LLM behavior with fast exploratory queries, rich context, and AI assistance.
- Architecture:
- Purpose-built columnar observability datastore unifying traces, logs, custom metrics, service maps, SLOs, telemetry pipelines, and OpenTelemetry data.
- Pricing Model:
- Free: $0 per month, free forever, for up to 20 million events and 100 million metrics data points per month. Pro: starts at $150 per month for 50 million events, and scales up to 750 million events and 3.75 billion metrics data points per month; it is sold as a monthly or annual subscription. Enterprise: custom pricing with volume discounts, starting from a base allowance of 10 billion events per year. Honeycomb keeps events and metrics for 60 days; longer retention is an Enterprise add-on, priced on request. The Telemetry Pipeline add-on starts at $0.10 per GB. Verified 2026-10-09 against https://www.honeycomb.io/pricing.
- Ease of Use:
- Sub-second queries, Query Builder, BubbleUp, Canvas copilot, and IDE access through Honeycomb MCP accelerate exploratory debugging workflows.
- Scalability:
- Custom columnar datastore handles high telemetry volume and complexity; pipelines collect, enrich, filter, sample, route, and shape events.
- Community/Support:
- Free and Pro tiers support self-service adoption; Enterprise provides dedicated support, SSO SAML, negotiated volumes, and private-cloud support.
Public signals
Verified factual signals only. Bars appear only for like-for-like metrics with five weekly assessments for every tool; missing evidence stays explicit. These signals do not establish enterprise adoption, product quality, or total cost.
| Metric | Lightstep (now ServiceNow Cloud Observability) | Honeycomb |
|---|---|---|
| Hacker News mentions, 90d(Community interest) | 0 | 0 |
| npm weekly downloads(Developer adoption) | 24.0k | 114.1k |
| Product Hunt comments(Community interest) | 0 | Not available |
| Product Hunt reviews(Community interest) | 0 | Not available |
| Product Hunt votes(Community interest) | 11 | Not available |
| PyPI weekly downloads(Developer adoption) | 1.0k | 19.5k |
| Stack Overflow questions(Community interest) | 3 | 0 |
| GitHub commits, 90d(Developer adoption) | Not available | 3 |
| GitHub stars(Developer adoption) | Not available | 58 |
As of October 26, 2026 — updated weekly.
Health & risk evidence
Observed public-source checks for mapped package versions and repositories.
Lightstep (now ServiceNow Cloud Observability)
October 26, 2026Package vulnerabilities
PyPI · lightstep@4.4.8 · npm · lightstep-tracer@0.35.0-no-protobuf
0 vulnerabilities
across 2 packages
Repository security score
Not available
Honeycomb
October 26, 2026Package vulnerabilities
npm · @honeycombio/opentelemetry-web@1.5.1 · PyPI · honeycomb-beeline@3.6.0
0 vulnerabilities
across 2 packages
Repository security score
Not available
Interface Preview
Lightstep (now ServiceNow Cloud Observability)
Honeycomb
Feature Comparison
| Feature | Lightstep (now ServiceNow Cloud Observability) | Honeycomb |
|---|---|---|
| Telemetry Foundation | ||
| Distributed tracing | Distributed tracing for monitoring microservice performance across services | Distributed tracing stored with unified contextual telemetry data |
| OpenTelemetry support | OpenTelemetry-native support for instrumented distributed-service telemetry | OpenTelemetry-compatible platform for collecting observability data |
| Telemetry data types | Tracing-focused platform; other telemetry types are not specified | Unified datastore supports traces, logs, and custom metrics |
| Data Architecture | ||
| Primary storage model | Storage implementation is not specified in the public documentation | Purpose-built columnar datastore engineered for observability workloads |
| Data volume handling | Microservice performance monitoring through distributed trace collection | Append-oriented datastore handles high telemetry volume and complexity |
| Telemetry shaping | Telemetry pipeline capabilities are not specified in the public documentation | Pipelines collect, enrich, filter, sample, route, and shape data |
| Investigation Experience | ||
| Query performance | Query-speed characteristics are not specified in the public documentation | Sub-second queries support interactive debugging and investigation |
| AI-assisted investigation | AI investigation features are not specified in the public documentation | Canvas copilot assists investigations using observability data context |
| Exploratory analysis tools | Analysis interface details are not specified in the public documentation | Query Builder, BubbleUp, and Query Assistant support exploration |
| Operational Intelligence | ||
| Service topology | Distributed traces reveal relationships among microservices and requests | Service Map visualizes system service relationships from telemetry |
| Service-level objectives | SLO capabilities are not specified in the public documentation | Pro includes two SLOs; Enterprise includes up to 100 |
| LLM observability | LLM-specific observability capabilities are not specified in the public documentation | LLM observability supports debugging behavior in AI-powered applications |
| Commercial Model and Support | ||
| Entry-level access | Current ServiceNow pricing requires a sales quote | Free tier includes 20 million events monthly and 60-day retention |
| Published paid pricing | No current public rate card; pricing is by ServiceNow quote | Pro starts at $150 monthly with higher volumes and retention |
| Enterprise commercial support | ServiceNow sales-led commercial engagement for current cloud offering | Enterprise offers dedicated support, SAML SSO, and negotiated volumes |
Telemetry Foundation
Distributed tracing
OpenTelemetry support
Telemetry data types
Data Architecture
Primary storage model
Data volume handling
Telemetry shaping
Investigation Experience
Query performance
AI-assisted investigation
Exploratory analysis tools
Operational Intelligence
Service topology
Service-level objectives
LLM observability
Commercial Model and Support
Entry-level access
Published paid pricing
Enterprise commercial support
Which to choose
Choose Lightstep when your organization is standardizing on ServiceNow Cloud Observability and needs OpenTelemetry-native distributed tracing for microservice performance. Choose Honeycomb when engineers need a self-service free entry point, high-context unified telemetry, sub-second investigation workflows, telemetry pipelines, or dedicated LLM observability capabilities.
Best-fit scenarios
Choose Lightstep (now ServiceNow Cloud Observability) if:
Choose Lightstep for enterprise microservice tracing when ServiceNow Cloud Observability procurement, sales-led support, and OpenTelemetry-native monitoring align with your platform strategy.
Choose Honeycomb if:
Choose Honeycomb for teams that need rapid exploratory debugging across traces, logs, and metrics; AI-assisted investigations; LLM observability; or a defined free tier.
These scenarios reflect the available product evidence. Your requirements, existing stack, and team expertise should guide the final decision.
Frequently Asked Questions
What is the main difference between Lightstep and Honeycomb?
Lightstep is now positioned as ServiceNow Cloud Observability and is described in the public documentation primarily as an OpenTelemetry-native distributed tracing platform for microservice performance monitoring. Honeycomb is positioned as a broader unified observability platform built on a purpose-built columnar datastore. Honeycomb explicitly includes tracing, log analytics, custom metrics, telemetry pipelines, service maps, SLOs, AI-assisted investigation features, and LLM observability.
Which is better for small teams?
Honeycomb is generally the more accessible option for a small team based on the published commercial information. Its free tier includes 20 million events per month and 60-day retention, allowing a team to evaluate production telemetry without an immediate contract. Honeycomb also publishes a Pro starting price of $150 per month. Lightstep's current ServiceNow Cloud Observability pricing requires a sales quote, so its current entry-level limits and costs are not publicly specified.
Can I migrate from Lightstep to Honeycomb?
A migration is technically more practical when services are instrumented with OpenTelemetry, because both products support OpenTelemetry-oriented telemetry collection. In practice, a team should inventory existing trace instrumentation, attributes, sampling rules, retention requirements, alerts, and operational workflows before moving data. Honeycomb offers telemetry pipelines that can collect, enrich, filter, sample, route, and shape telemetry, but our research does not establish automatic migration of Lightstep dashboards, historical traces, or ServiceNow-specific configurations.
What are the pricing differences?
Honeycomb has published entry-level pricing: its free tier provides 20 million events per month with 60-day retention, and Pro starts at $150 per month. Its Enterprise tier uses custom pricing and can include dedicated support, SSO SAML, negotiated volumes, and private-cloud support. Lightstep's current ServiceNow Cloud Observability offering is sales-quoted, with no current public rate card in the public documentation. Historically, Lightstep offered a Community tier for one project, a paid Teams tier, and custom Enterprise pricing.