OpenObserve review

OpenObserve is an observability platform delivered as a managed Cloud service or self-hosted software. It sits between telemetry producers and the engineers investigating service behavior: ingest logs, metrics and traces, query and correlate them, then build dashboards or alerts. The product also targets AI workloads, with tools for LLM tracing and an AI SRE agent.

For logs, OpenObserve describes SQL queries over columnar Parquet storage, built in Rust on the DataFusion engine. Metrics are Prometheus-compatible; distributed traces carry context and are correlated with logs and metrics. The unified model is intended to reduce the need to operate separate tools for each signal. Its homepage also lists SLOs, real user monitoring and synthetic monitoring. The open-source edition can run self-hosted; teams that prefer a managed service can use Cloud, with ingestion and query charges. The product is an observability backend and user interface, not a language-specific logging library.

The integration surfaces named by OpenObserve include Prometheus-compatible metrics, PromQL support reported by a commenter on r/rust, and OpenTelemetry support reported in the same thread. The homepage says teams can bring existing Grafana boards over and route alerts to Slack, PagerDuty, email and other destinations. It also describes SQL as the query language for log search.

The homepage does not name programming-language SDKs or a CLI. Before choosing an implementation, confirm API endpoints, supported SDKs, ingestion formats and language coverage in the vendor's documentation. That matters if application instrumentation depends on a specific client library rather than OpenTelemetry collectors or Prometheus-compatible metrics. For dashboards and alerting, the stated integration path is importing Grafana boards and configuring notification destinations. The product also lists LLM observability for tracing prompts, completions, token use and cost, but verify its instrumentation requirements and supported frameworks before wiring it into an application.

Self-Hosted Open Source is free forever under the AGPL-3.0 licence. Self-Hosted Enterprise is free up to 50 GB/day, then requires a sales quote; it adds SSO and RBAC, federated search, query management, workload management, audit trails and sensitive-data redaction. The Cloud Professional plan has a 14-day trial and unlimited users. Its listed $0.50/GB ingestion rate includes a 30% discount for an annual commitment; the pricing page lists no fixed monthly price.

Cloud costs also include $0.01/GB queried. Professional includes 15 months of metrics retention and 30 days of non-metrics retention; extra non-metrics retention costs $0.02/GB per additional 30 days. Cloud Enterprise pricing is custom, with volume discounts and BYOB for infinite retention. The bill therefore grows with ingested and queried data, and longer retention can add charges. Confirm expected query volume, retention needs and annual-commitment terms against your workload. Enterprise support beyond the listed plans is also quote-based.

OpenObserve's self-hosted open-source core is licensed under AGPL-3.0. The vendor also sells self-hosted Enterprise features; the free tier goes up to 50 GB/day, with pricing above that available from sales. Cloud Enterprise lists BYOB for infinite retention, while the homepage promotes “Your bucket, your collectors” as a way to avoid vendor lock-in.

The product uses Parquet storage, but the available information does not establish a specific export workflow, supported export formats or how portable saved queries and dashboards are. Ask the vendor how to retrieve raw telemetry, move it to another backend and export configuration before adopting it. SQL and Prometheus-compatible metrics may help keep parts of a stack familiar, but they do not by themselves guarantee a straightforward migration. Self-hosting gives teams control over deployment; it also means they own operations and upgrades.

The pricing details publish retention periods and a 50 GB/day free threshold for Self-Hosted Enterprise, but not general rate limits. The Cloud Professional plan lists unlimited users; ingestion limits, query concurrency, service-level commitments and other operational ceilings should be confirmed with the vendor. SSO and RBAC are listed for Cloud Enterprise and Self-Hosted Enterprise, not the free open-source plan. Premium support and SLAs are listed with Cloud Enterprise.

Reddit feedback is mixed. One self-hosting commenter reported querying several days of data in about two to four seconds on a four-core, 8 GB RAM VM, while another described a basic comparison where OpenObserve used more memory than several alternatives. That commenter also reported faster ingestion than Elasticsearch in their test. These are individual reports, not guarantees for a production workload. Test with representative data volume, query patterns and hardware, and check memory use, storage costs and recovery behavior before relying on it for incident response.