highlight/highlight Alternatives

Choose when you also want product analytics, feature flags, and experiments alongside session replay/error tracking/logs in a mature open-source platform.

:hedgehog: PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error tracking, logs, and more – capture all the context agents need to diagnose problems, uncover opportunities, and ship fixes. Steer it all from Slack, web, desktop, or the MCP.

Choose for an OpenTelemetry-native unification of session replay, logs, metrics, and traces on ClickHouse with an MIT license.

Resolve production issues, fast. An open source observability platform unifying session replays, logs, metrics, traces and errors powered by ClickHouse and OpenTelemetry.

Choose for battle-tested error tracking, performance monitoring, and session replay with far broader SDK and integration coverage.

Developer-first error tracking and performance monitoring

Choose for large-scale log/metric/trace collection and low-cost S3-backed storage, not for browser session replay or developer-first error monitoring.

Open source observability platform for logs, metrics, traces, frontend monitoring, pipelines and LLM observability. A sophisticated, simple and highly performant alternative to Datadog, Splunk, and Elasticsearch with 140x lower storage costs and single binary deployment.

Choose for Kubernetes-focused infrastructure/APM root-cause analysis and continuous profiling, not for frontend session replay.

Coroot is an open-source observability and APM tool with AI-powered Root Cause Analysis. It combines metrics, logs, traces, continuous profiling, and SLO-based alerting with predefined dashboards and inspections.

Choose for high-throughput Rust/S3-based log, metric, trace, and event storage; it is not an error-monitoring/session-replay frontend.

Parseable is an open source, unified infrastructure observability platform built in Rust on a data lake architecture. It tracks logs, metrics, traces, and events across apps, agents, and systems, reducing storage costs by up to 90% through columnar telemetry compression.

Choose for natural-language querying of logs/traces/metrics stored in S3, not when browser session replay and error tracking are required.

Monoscope lets you ingest and explore your logs, traces and metrics. We store these in S3 compatible buckets. Query in natural language via LLMs.

Choose as a lightweight self-hosted troubleshooting/observability tool if you want a simpler stack and do not need Highlight's full SDK/session-replay ecosystem.

The only tool you need to know what is happening and how to fix it.

Choose for AI-assisted APM troubleshooting built on OpenTelemetry, not for frontend session replay or error-monitoring workflows.

DataBuff is an AI-native APM built on Opentelemetry，with multi-agent troubleshooting out of the box.

Choose for a lightweight OpenTelemetry APM covering traces, metrics, and logs when session replay is not needed.

Open source APM: OpenTelemetry traces, metrics, and logs

Choose for a comprehensive OpenTelemetry-native APM/logs/metrics platform when frontend session replay is not a core requirement.

SigNoz is an open-source, OpenTelemetry-native observability platform for your team and their AI agents. Get logs, metrics, and traces in one tool with features like APM, distributed tracing, log management, infra monitoring, etc. Combined with SigNoz MCP and a native AI teammate (in SigNoz Cloud) it helps you build more resilient apps.

Choose for agent-based distributed tracing and server-map visibility in large Java/backend systems, not for frontend session replay or error logs.

APM, (Application Performance Management) tool for large-scale distributed systems.

Choose for mature APM/tracing with topology analysis and many language agents when you do not need browser session replay.

APM, Application Performance Monitoring System

Choose only for legacy Java/Chinese-ecosystem stacks already relying on CAT's agent model; it is stale and lacks session replay/full-stack frontend monitoring.

CAT 作为服务端项目基础组件，提供了 Java, C/C++, Node.js, Python, Go 等多语言客户端，已经在美团点评的基础架构中间件框架（MVC框架，RPC框架，数据库框架，缓存框架等，消息队列，配置系统等）深度集成，为美团点评各业务线提供系统丰富的性能指标、健康状况、实时告警等。

Choose only for old single-JVM Java server monitoring; it is archived and far narrower than a modern full-stack observability platform.

an open source solution to application performance monitoring for java server applications