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OpenObserve
Open source observability built for petabyte scale
SubscriptionMonitoringDevOpsOpen Source19,088 impressions#1 of its week4 comments
Comments
>log in to comment- Simran Kumari· 6mo ago
Really happy with the direction O2 is going. We’re focusing a lot on simplicity and efficiency so you can spend less time fighting the tool and more time understanding your system. Would love to hear what others think after trying it.
- Manas Sharma· 6mo ago
Super proud of what we've built with O2. Most observability stacks feel like you're fighting the tool just to see your data, so we focused on making this as lean as possible: single binary, Rust-backend, S3/Parquet based storage for longer term data retention.
- Subhradeep Chakraborty· 6mo ago
Hello fellow devs, Openobserve from its inception, has been focusing on resource efficiency and simplicity. Hence, it shines as a star even in petabyte-scale environments. Check out cloud - https://openobserve.ai/, or try self-hosted - https://openobserve.ai/docs/getting-started/ to experience what simplicity in observability means. Feel free to ask questions!
- Hengfei Yang· 6mo ago
Hello everyone, I am Hengfei, a developer from the O2 team, and I will do my best to answer any questions you may have. Please don't be shy to ask.
OpenObserve is a free alternative to Datadog.
OpenObserve is an open-source observability platform for logs, metrics and traces at petabyte scale.
- for
- Engineering teams needing high-performance, cost-effective observability.
- pricing
- paid
- license
- AGPL-3.0
Key features
- Unified observability stack — Collect, correlate and view logs, metrics, traces and more in a single platform.
- Columnar Parquet storage — Rust-based storage engine provides 140× storage efficiency and 30× compute efficiency.
- Auto-correlation engine — Analyzes millions of signals per second to automatically link related events.
- AI SRE agent — Continuously triages incidents, finds root cause and drafts post-mortems.
- AI assistant — Answers natural-language queries across all telemetry without writing queries.
- LLM observability — Tracks prompts, completions, token usage and cost for LLM applications.
- Kubernetes integration — One-click collector deploys logs, metrics, events and zero-code traces for clusters.
- OpenTelemetry-native ingestion — Supports OpenTelemetry, Prometheus and Datadog agents for drop-in migration.
Use cases
- Reduce observability spend by up to 90% compared to Datadog
- Correlate logs, metrics and traces across multi-cloud environments
- Detect and resolve incidents automatically with AI-driven root-cause analysis
- Monitor LLM workloads for prompt quality and token cost
- Provide real-user monitoring and synthetic checks from a single UI
OpenObserve vs alternatives
.jpg?width=64) OpenObserve |  groundcover | .png?width=64) Langfuse |  Pulsetic |  Firecamp | |
|---|---|---|---|---|---|
| Best for | Unified, petabyte-scale observability | Cloud-native SaaS observability | LLM app analytics | Uptime monitoring | API testing |
| Pricing | Paid | Free | Subscription | Free | Free |
| DevHunt upvotes | 39 | 39 | 89 | 162 | 48 |
| Launched | Apr 2026 | Feb 2024 | Jan 2023 | Jan 2024 | Jan 2023 |
- OpenObserve vs groundcover: Groundcover focuses on cloud-native observability with a SaaS model, while OpenObserve is open source with self-hosted option and columnar storage.
- OpenObserve vs Langfuse: Langfuse targets LLM app analytics, whereas OpenObserve provides broader logs/metrics/traces plus LLM observability.
- OpenObserve vs Pulsetic: Pulsetic offers simple uptime monitoring, while OpenObserve delivers full-stack logs, metrics and tracing.
- OpenObserve vs Firecamp: Firecamp is an open-source API testing tool, not an observability platform like OpenObserve.
OpenObserve FAQ
How is the cost estimate calculated?+
We use Datadog’s public list pricing and OpenObserve Cloud’s $0.50/GB all-in rate; the estimate reflects ingestion volume and retention.
What file formats does the bill uploader support?+
PDF invoices up to 10 MB are accepted; the system extracts line items to compute savings.
Do I need an account or credit card to see my savings?+
No, the slider estimate and invoice analysis are free and require no signup.
Can I run OpenObserve on my own infrastructure?+
Yes, it is open source and can be self-hosted or used as a managed cloud service.
What data sources does OpenObserve ingest?+
It natively supports OpenTelemetry, Prometheus, Datadog Agent and can collect logs, metrics, traces, RUM, synthetic monitoring and LLM telemetry.
Summarized by DevHunt from openobserve.ai · Sep 27, 2026. Details may change; check the official site.
