Lightstep, now rebranded as ServiceNow Cloud Observability, was one of the early platforms built around OpenTelemetry for distributed tracing and metrics analysis. Since its acquisition by ServiceNow, the product's pricing has shifted to enterprise sales quotes, and many teams find themselves evaluating Lightstep alternatives that offer more transparent costs or a better fit for their observability stack. We reviewed the leading options across open-source frameworks, cloud-native monitors, and commercial platforms to help you find the right replacement.
Top Lightstep Alternatives
Honeycomb is the closest philosophical match to Lightstep. It is built around high-cardinality, event-driven observability with sub-second query speeds and a columnar data store purpose-built for debugging distributed systems. Honeycomb offers a free tier with 20 million events per month and 60-day retention, with Pro plans starting at $130/month. If your team valued Lightstep's tracing-first approach, Honeycomb delivers that same investigative workflow with stronger community tooling.
SigNoz is an open-source, OpenTelemetry-native platform that bundles traces, metrics, logs, dashboards, and alerts into a single tool. It is available as a free self-hosted Community Edition under Apache 2.0, and its cloud offering starts with a free Teams tier (10 GB/month) scaling to $0.30 per GB for logs and metrics. For teams that want Lightstep's OTel-native philosophy without vendor lock-in, SigNoz is one of the strongest picks.
Better Stack positions itself as a full-stack observability platform at a fraction of the cost of legacy vendors. It includes OpenTelemetry-native tracing, log management, uptime monitoring, and incident management. The free tier covers 10 monitors, with paid Uptime plans from $29/month and Logs from $24/month. Its emphasis on predictable pricing addresses a common pain point for teams leaving Lightstep's opaque ServiceNow model.
Elastic Observability combines APM, logs, metrics, and infrastructure monitoring on the Elastic Stack. It is fully OTel-compliant and adds AI-powered anomaly detection and pattern analysis. Standard plans start at $95/month, with Platinum at $125/month and Enterprise at $175/month. Teams with existing Elasticsearch deployments will find the integration seamless.
Sentry focuses on application performance monitoring with a developer-first approach. It connects errors, logs, replays, spans, profiles, and metrics under a single trace, making root-cause analysis straightforward. The free Developer tier includes 5K errors per month, Team plans start at $26/month, and Business plans at $80/month. Sentry is best suited for teams that prioritize error tracking alongside tracing.
Prometheus remains the open-source standard for metrics collection in cloud-native environments, with over 63,000 GitHub stars. Its pull-based model, PromQL query language, and native Kubernetes service discovery make it a natural fit for infrastructure metrics. Prometheus is completely free, though it focuses on metrics rather than full-stack observability, so teams often pair it with Jaeger or Grafana for tracing and visualization.
Amazon CloudWatch and Azure Monitor are the go-to choices for teams deeply embedded in AWS or Azure ecosystems respectively. CloudWatch offers a generous free tier with pay-as-you-go pricing starting at $0.01 per metric, while Azure Monitor uses usage-based billing with capacity reservation discounts of up to 36 percent. Both provide tight integration with their respective cloud services but can create vendor lock-in outside those environments.
Architecture and Deployment Comparison
Lightstep alternatives span three deployment models. Self-hosted open-source tools like SigNoz and Prometheus give you full control over data residency and costs, but require operational investment for scaling and maintenance. Managed cloud platforms like Honeycomb, Better Stack, and Sentry handle infrastructure for you with usage-based pricing. Cloud-provider services like Amazon CloudWatch and Azure Monitor integrate deeply with their ecosystems and bill through your existing cloud account. OpenTelemetry sits underneath many of these options as the instrumentation layer, meaning you can instrument once and switch backends later. Most modern alternatives now accept OTLP data natively, making migration from Lightstep considerably easier than it was a few years ago.
Pricing Comparison
| Tool | Pricing Model | Starting Price | Free Tier |
|---|---|---|---|
| Honeycomb | Freemium | $130/month (Pro) | 20M events/month |
| SigNoz | Open Source | $0.30/GB (Cloud) | 10 GB/month (Cloud); self-host free |
| Better Stack | Freemium | $24/month (Logs) | 10 monitors, 3-min checks |
| Elastic Observability | Paid | $95/month (Standard) | No |
| Sentry | Freemium | $26/month (Team) | 5K errors/month |
| Prometheus | Open Source | $0 | Fully free |
| Amazon CloudWatch | Freemium | $0.01/metric | Free tier included |
| Azure Monitor | Usage-Based | Usage-based | Included with Azure subscription |
Lightstep's current pricing requires a ServiceNow sales quote, which makes direct comparison difficult. Most alternatives listed here offer either transparent self-serve pricing or a free tier, giving teams a clear picture of costs before committing.
When to Switch from Lightstep
Consider migrating if your team faces unpredictable or escalating costs after the ServiceNow acquisition, if you need transparent self-serve pricing, or if you want to self-host your observability data for compliance reasons. Teams that rely heavily on OpenTelemetry will find the transition straightforward since Lightstep was built on OTel from the start, and nearly every alternative on this list supports OTLP ingestion natively. A switch also makes sense if your organization has standardized on a specific cloud provider and wants consolidated billing.
Migration Considerations
Because Lightstep was built on OpenTelemetry, migration is simpler than moving off most proprietary platforms. Your existing OTel SDK instrumentation and Collector pipelines can remain intact; you primarily need to reconfigure exporters to point at your new backend. We recommend running both systems in parallel during a transition window to validate data parity. Pay attention to differences in retention policies, alerting rule syntax, and dashboard definitions, as these will need to be recreated manually. If you are moving to a self-hosted solution like SigNoz, plan for storage capacity and Collector scaling from the outset.