observability platform
OpenObserve is an open-source observability platform that ingests and stores logs, metrics, traces, RUM, and LLM data in a single S3/Parquet-backed binary with its own UI.
Same problem, same approach. Swapping one for another is a config change, not a rewrite.
Choose when you prefer a Rust data-lake observability server with a single-binary deployment and AGPL licensing.
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 trace-first OpenTelemetry observability with ClickHouse storage if your focus is APM rather than log-volume search.
Open source APM: OpenTelemetry traces, metrics, and logs
Choose if you want monitoring, status pages, and incident management bundled with observability, rather than a pure analytics backend.
Complete open-source monitoring and observability platform.
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
Choose if you need a Grafana-compatible observability backend that can replace the LGTMP stack, rather than OpenObserve's bundled UI.
⭐️ The Open-Source Polyglot Observability Warehouse: Light, Fast, Cloud Native, Drop-in Grafana LGTMP alternative :rocket: Indie All-in-One Opentelemetry, Loki, Prometheus, Tempo, Pyroscope On-Prem Alternative :star:
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
Choose for dedicated LLM observability/tracing and evaluations when you don't need infrastructure log and metric storage.
Open source platform for AI Engineering: OpenTelemetry-native LLM Observability, GPU Monitoring, Guardrails, Evaluations, Prompt Management, Vault, Playground. 🚀💻 Integrates with 50+ LLM Providers, VectorDBs, Agent Frameworks and GPUs.
Choose if you only need lightweight OpenTelemetry-based LLM/GenAI tracing without OpenObserve's full signal suite.
Open-source observability for your GenAI or LLM application, based on OpenTelemetry
Choose for a managed/open-source LLM observability platform focused on AI products, not IT logs.
🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓
Choose when you want eBPF-powered zero-instrumentation tracing/profiling instead of agent/OpenTelemetry-based traces.
eBPF Observability - Distributed Tracing and Profiling
These projects were analysed and named openobserve among their alternatives. The relationship is not symmetric — how openobserve rates them is a separate judgement, made when openobserve is analysed in its own right.
calls openobserve “Choose when you need a highly performant OTel observability platform that also covers frontend monitoring and data pipelines.”
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.
calls openobserve “Choose it when you need a self-hosted Datadog-like observability store for logs/metrics/traces with low storage cost rather than source-map error triage.”
Developer-first error tracking and performance monitoring
calls openobserve “Choose when you need a high-compression, data-lake observability backend for logs/metrics/traces and prefer that over an APM agent stack.”
APM, Application Performance Monitoring System
calls openobserve “Broad observability platform with traces, logs, and metrics in one object-store backend; choose when you need a Datadog-like all-in-one stack rather than Pinpoint's focused APM.”
APM, (Application Performance Management) tool for large-scale distributed systems.
calls openobserve “uses an object-store/data-lake engine instead of ClickHouse and omits session replay; choose for very high-volume storage on S3-compatible backends.”
Resolve production issues, fast. An open source observability platform unifying session replays, logs, metrics, traces and errors powered by ClickHouse and OpenTelemetry.
calls openobserve “Choose for large-scale log/metric/trace collection and low-cost S3-backed storage, not for browser session replay or developer-first error monitoring.”
highlight.io: The open source, full-stack monitoring platform. Error monitoring, session replay, logging, distributed tracing, and more.
calls openobserve “when you need high-throughput, low-cost log/metric/trace storage and search with a Datadog-style UI rather than eBPF auto-instrumentation and AI RCA.”
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.
calls openobserve “Choose when you need a high-performance, storage-efficient logs/metrics/traces platform and can leave status pages and incident management to other tools.”
Complete open-source monitoring and observability platform.
calls openobserve “When you want a Datadog-like all-in-one observability platform with logs, metrics, traces, and pipelines, with a GUI.”
Scalable datastore for metrics, events, and real-time analytics
calls openobserve “Choose for a full Datadog/Splunk-style observability platform with UI and pipelines.”
Cloud-native OSS search engine for observability
calls openobserve “observability platform service with UI/Pipelines/alerts; choose it for a full product rather than raw database.”
The open-source observability database. One columnar engine for metrics, logs, and traces, on object storage.