OpenObserve vs SigNoz
Object storage instead of ClickHouse disks. Single binary, no cluster to babysit. OTel-native observability with built-in RUM and pipelines.
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Why teams switch from SigNoz
The many reasons that teams are making the switch
No ClickHouse Cluster to Run
SigNoz self-hosted means operating ClickHouse plus ZooKeeper, shards, and rebalancing. OpenObserve is a single binary — or a stateless HA cluster via Helm.
Object Storage, Not Disks
SigNoz retention grows with ClickHouse disk capacity. OpenObserve stores Parquet on S3/GCS/MinIO — long retention at commodity storage prices.
Stateless Scaling
No shard rebalancing or ON CLUSTER schema changes. Compute and storage are separated — add or remove nodes anytime.
Built-in RUM & Session Replay
SigNoz has frontend monitoring (Web Vitals via OTel) but no session replay. OpenObserve ships RUM with session replay and error tracking.
Same OTel Standards, No Lock-in
Both platforms are OpenTelemetry-native — switching is a collector endpoint change. Open Parquet storage format means your data stays portable.
Pipelines Built In
Transform, enrich, redact, and route logs, metrics, and traces at ingest with VRL-powered pipelines — no separate processing layer to maintain.
See how OpenObserve replaces SigNoz
Get a personalized walkthrough and see what you'd save by moving telemetry off ClickHouse disks onto object storage.
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Feature comparison
Two OTel-native platforms, two very different architectures
| Feature | SigNoz | OpenObserve | Reference Links |
|---|---|---|---|
| Feature parity: logs, metrics, traces, dashboards, alerts, pipelines | ✓ | ✓ | LogsMetricsTracesDashboardsAlertsPipelines |
| OpenTelemetry native | ✓ | ✓ | OTLP over gRPC and HTTP |
| Storage backend | ClickHouse on block storage / disks | Object storage: S3, GCS, Azure Blob, MinIO | Learn more |
| Deployment footprint | Multi-service stack: ClickHouse, ZooKeeper, backend, collector | Single binary or single container; HA via Helm | Learn more |
| Scaling model | Scale ClickHouse: shards, replicas, rebalancing | Stateless nodes; compute and storage separated | Learn more |
| Long-term retention | Limited by ClickHouse disk; cloud default 15 days for logs/traces | Months or years on object storage without budget blowouts | Learn more |
| Real User Monitoring (RUM) | Frontend monitoring (Web Vitals); no session replay | Built-in RUM with session replay and error tracking | Learn more |
| Data pipelines | Log pipelines via OTel processors | VRL pipelines for logs, metrics, and traces at ingest | Learn more |
| Query language | Query builder + ClickHouse SQL / PromQL | Standard SQL + PromQL | Used universally with no learning curve |
| Open source | ✓ | ✓ | |
| IAM & SSO | ✓ | ✓ | SAML, OIDC, LDAP, role-based access |
Migrating from SigNoz
Both platforms are OpenTelemetry-native, so migration is mostly a collector endpoint change — not a re-instrumentation project.
Repoint your OpenTelemetry Collector
Your apps are already instrumented with OTel. Add an OTLP exporter for OpenObserve to your collector config and dual-ship to both platforms while you validate. No application code changes.
Rebuild dashboards and alerts
Recreate your key SigNoz dashboards using SQL and PromQL in OpenObserve, and port alert rules. Rebuild ingest-time processing as OpenObserve pipelines with VRL for parsing, enrichment, and redaction.
Cut over and retire the ClickHouse stack
Shift traffic fully to OpenObserve, then decommission ClickHouse, ZooKeeper, and the SigNoz services. Keep long-term history cheaply on object storage. Our team can help accelerate this process.
"OpenObserve is super fast, definitely very lightweight, and you can get started with an initial POC in two to three minutes to be honest."
Frequently Asked Questions
Common questions about switching from SigNoz to OpenObserve
Yes, if you like SigNoz's open-source, OpenTelemetry-native approach but want simpler operations and cheaper storage. Both cover logs, metrics, traces, dashboards, and alerts. The core difference is architecture: SigNoz stores data in ClickHouse on disks, while OpenObserve stores compressed Parquet on object storage (S3/GCS/Azure/MinIO) with stateless compute. That means no database cluster to operate and much lower long-term retention costs. OpenObserve also adds built-in RUM with session replay and VRL-powered pipelines.
SigNoz Cloud starts at $49/month and bills usage at $0.30/GB for logs and traces and $0.10 per million metric samples, with 15-day default retention on logs and traces (longer retention costs more). OpenObserve Cloud is also usage-based, but because data lives on object storage, extended retention doesn't require tiered surcharges — and self-hosting OpenObserve keeps storage at commodity S3 prices (~$0.023/GB). For most workloads the gap widens the longer you retain data.
Easier than most migrations, because both platforms are OpenTelemetry-native. Your instrumentation stays exactly as it is — you add an OTLP exporter for OpenObserve to your existing OTel Collector and dual-ship while you validate. The real work is recreating dashboards and alert rules, which most teams complete in days to a few weeks depending on how many they have. There is no proprietary agent to rip out.
SigNoz is a solid product: genuinely open source, OTel-native, with a polished APM experience and an approachable query builder. If your team is deeply invested in ClickHouse SQL for trace analytics, that's a real strength. What you take on with SigNoz self-hosted is operating ClickHouse (plus ZooKeeper) — sharding, rebalancing, disk management — and its frontend monitoring lacks session replay. OpenObserve trades the ClickHouse dependency for object storage and stateless nodes, and includes RUM and pipelines out of the box.
Yes. OpenObserve is open source and you can self-host it as a single binary, a single container, or an HA cluster via Helm on Kubernetes. Unlike SigNoz self-hosted, there is no external database to run: OpenObserve embeds its storage engine and writes to local disk or your own object storage bucket. Enterprise features like SSO and RBAC are available for self-hosted deployments as well.
Three reasons. Cost: S3-class storage runs around $0.023/GB versus significantly more for the block storage (plus replicas) ClickHouse needs. Operations: disks fill up, need resizing, and shard rebalancing is manual work; object storage is effectively infinite and fully managed. Durability: your telemetry sits in your own bucket in an open format (Apache Parquet), replicated by the cloud provider — losing a node never means losing data.
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.
OpenObserve: the object-storage-native SigNoz alternative
An open-source, OpenTelemetry-native platform that stores telemetry on object storage instead of ClickHouse disks — single binary, stateless scaling, built-in RUM and pipelines. Radius.ai got started with a working POC in minutes, not months. Also evaluating other tools? See how OpenObserve compares to Grafana, ClickHouse, Datadog.
- Object storage (~$0.023/GB) — no ClickHouse cluster to run
- OTel-native — migrate with a collector endpoint change
- Built-in RUM, session replay, and VRL pipelines