OpenObserve vs Dash0

Yes, if you want the same OpenTelemetry-native approach with more control. Both platforms ingest OTLP directly and avoid proprietary agents. The differences: OpenObserve is open source, can be self-hosted anywhere (single binary to HA Kubernetes cluster), stores data on your own object storage in Apache Parquet, and prices by volume ingested rather than per million spans, logs, or metric data points. If you specifically want a fully managed SaaS and are happy with 30-day log/trace retention, Dash0 is a polished product — the trade-off is control and long-term economics.

Dash0 publishes consumption pricing per signal: per million metric data points and per million spans or log records, with no seat or base fees. That model is transparent, but costs scale with event counts — high-cardinality metrics, verbose logs, and chatty traces add up fast. OpenObserve prices by data volume ingested, backed by low-cost object storage, with no per-signal, per-seat, or per-host fees. For high-volume workloads, volume-based pricing on object storage is typically the more predictable and cheaper model. Run your own numbers on our pricing page.

Easier than most migrations, because both platforms are OpenTelemetry-native. Your instrumentation doesn't change — you update the OTLP exporter endpoint and auth headers in your OpenTelemetry Collector or SDK configuration. Most teams dual-ship to both platforms for a few weeks, rebuild key dashboards and alerts, validate parity, then cut over. Both platforms support PromQL and SQL, so your queries largely carry over with minimal rewriting.

Dash0 is a SaaS-only product — there is no self-hosted option. OpenObserve runs anywhere: a single binary on a laptop, Docker, an HA cluster via Helm on Kubernetes, air-gapped environments, or our managed cloud. Data lives on your own S3, GCS, Azure Blob, or MinIO bucket, which matters for data residency, compliance, and regulated industries.

Dash0 retains spans, logs, and web events for 30 days (metrics for 13 months). OpenObserve stores telemetry in compressed Apache Parquet on object storage, so retention is a setting, not a pricing tier — keeping months or years of logs and traces costs object-storage rates, not premium retention fees.

Core observability is covered: logs, metrics, traces, dashboards, alerts, RUM, and ingest pipelines. Dash0 has strengths worth acknowledging — a clean OTel-first UX, Perses-compatible dashboards, and built-in synthetic monitoring. If synthetic checks are critical, you'd pair OpenObserve with a dedicated synthetics tool. In exchange you gain SQL querying, full pipelines with VRL transforms, self-hosting, configurable long-term retention, and open source.

Yes. OpenObserve is SOC2 Type II certified and ISO 27001 compliant. We process over 2 PB of data daily across thousands of deployments, including Fortune 100 enterprises. Enterprise features include RBAC, SSO, sensitive data redaction, and dedicated support.