Hypertrace vs Sematext Tracing
Hypertrace
hypertrace.orgSematext Tracing
sematext.comSide by side
| Figure | Hypertrace | Sematext Tracing |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| iOS | — | Yes |
| Android | — | Yes |
| API | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 3 |
| Spec score · Distributed Tracing Tools | 8.6 (#4) | 7.7 (#19) |
| Deployment | Hypertrace can be deployed on Kubernetes with Helm charts or run locally with Docker Compose. | The product page says it can be deployed on Kubernetes, Docker, containers, or bare metal. |
| Root cause analysis | It can show the services, endpoints and backends involved in a failed request, including contextual errors, to help locate the cause. | The product displays error rates, error types, and stack traces in the context of a full request trace. |
| Support | The project points users to its Slack workspace and GitHub Discussions for questions and community help. | The product page links to production support, and the company page says Sematext provides production support for Elasticsearch, the ELK/Elastic Stack, and Apache Solr. |
Plans
Sematext Tracing
- BasicPrice not published
- ProPrice not published
- StandardPrice not published
In their own words
Hypertrace
Hypertrace has no write-up on Specifiction yet; its figures are above.
Sematext Tracing
Sematext Tracing is an OpenTelemetry-based distributed tracing service for monitoring and troubleshooting microservices and distributed systems. It accepts OTLP over HTTP or gRPC and works with OpenTelemetry Collectors, Jaeger, Zipkin, and compatible instrumentation. Users can filter traces by service, operation, latency, errors, or custom attributes, then inspect waterfalls and spans. Error rates, error types, and stack traces appear within the related request trace, while a Service Map depicts application dependencies and communication patterns. Performance views include latency breakdowns, P50/P95/P99 percentiles, RED metrics, and database query insights. Head-based sampling can retain errors and high-latency requests while sampling normal traffic at lower rates. Alerts can use latency thresholds, error rates, or custom span attributes. The product lists support for languages and frameworks including Java, Python, Go, .NET, Swift, Android, Spring, Django, Rails, React, Vue, and Svelte. Deployment options include Kubernetes, Docker, containers, or bare metal. Pricing is based on spans; the listed starting price is $17.10/mo (annual), and a 14-day trial is available without a credit card. There is no free plan.