Comparison — vendor pages read 2026-11-11
Observability Unified vs SigNoz
SigNoz is an OpenTelemetry-native platform offered as SigNoz Cloud, as Enterprise BYOC or self-hosted, and as an open-source Community edition.
Observability Unified is a self-hosted platform that connects traces, logs, replay, profiles, and AI agent activity through shared IDs, and gives AI agents evidence with citations through MCP. Each row below says Yes, Partial, or No for both products and links to the page that supports it.
Where Observability Unified differs
- MCP write tools off unless enabled. Writes register only with OBS_MCP_ENABLE_WRITES=true
- Compacted evidence for AI agents. CCR bundles collapse repeated logs to exemplars within a token budget; refs expand them
- Records what an agent's tool call changed. Before, after, and diff values your app attaches to a tool call, stored as sent
- Production traces become eval cases. Save as eval case from a trace or run; candidate runs compared step by step (HTTP API)
- Root cause states its level of proof. Proof tier from unverified locus to counterfactual verified, kept apart from link certainty
- Fix verified by re-running the failing case. Same eval input fails on the baseline and passes on the candidate
- Remediation behind approval or a policy gate. Approval queue or single-use grant; your runner executes; a watchdog checks recovery
- Matches new incidents to past ones. Prior findings matched by fingerprint appear in incident evidence bundles
- Session replay. rrweb, browser DOM only
- Browser click linked to its backend trace. x-obs-interaction links a click to its trace, logs, and replay (browser SDK or header)
- CPU profile from a trace. When profiling is enabled and samples carry the trace ID
- One ID chain from user to agent action. user_id → session_id → interaction_id → trace_id → span_id → action_id
Where SigNoz offers more
- Write your own queries over telemetry. Query builder with aggregations and group-by, plus ClickHouse SQL
- Vendor-hosted cloud service. SigNoz Cloud
- Built-in single sign-on. SAML and OIDC on Cloud and Enterprise
Capability by capability
Investigating with AI agents
| Capability | Observability Unified | SigNoz |
|---|---|---|
| First-party MCP server | Yes Local stdio server, @obsunified/mcp-server our docs | Yes Hosted for SigNoz Cloud; a binary for self-hosted signoz.io |
| MCP write tools off unless enabled | Yes Writes register only with OBS_MCP_ENABLE_WRITES=true our docs | Partial Writes on; scoped by the service account's role signoz.io |
| MCP results link to source records | Yes Evidence bundles with citations; dashboard deep links when OBS_DASHBOARD_URL is set our docs | Yes Deep links to dashboards, alerts, and traces signoz.io |
| Agent tool calls alongside app traces | Yes Agent Action Graph links tool calls to traces our docs | Yes LLM and tool spans join app traces signoz.io |
| Compacted evidence for AI agents | Yes CCR bundles collapse repeated logs to exemplars within a token budget; refs expand them our docs | Partial MCP tools aggregate logs/traces and paginate with hasMore/nextOffset signoz.io |
| Agent skills for coding agents | Yes Instrument and investigate skills, released as .skill bundles our docs | Yes SigNoz plugin and Agent Skills for Claude Code, Codex, Cursor and more signoz.io |
Observing your own AI agents
| Capability | Observability Unified | SigNoz |
|---|---|---|
| Records what an agent's tool call changed | Yes Before, after, and diff values your app attaches to a tool call, stored as sent our docs | Partial GenAI tool spans store tool-call arguments and results signoz.io |
| MCP calls recorded with trace context | Yes MCP spans join the action graph; an optional allow-listed envelope records the context our docs | Yes Blog guide traces MCP client, server and tool calls with OpenTelemetry signoz.io |
| Production traces become eval cases | Yes Save as eval case from a trace or run; candidate runs compared step by step (HTTP API) our docs | Not marketed† Evaluation listed as available via integrations signoz.io |
Change-aware investigation and remediation
| Capability | Observability Unified | SigNoz |
|---|---|---|
| Compare releases and flag variants | Yes Error-rate lift per version and flag variant, normalized for traffic share our docs | Yes Noz compares before and after a deploy (Cloud) signoz.io |
| Shared-dependency contention vs code regression | Yes Shared-degradation verdicts separate contention from the new version our docs | Yes Noz attributes errors to a dependency or a release signoz.io |
| Root cause states its level of proof | Yes Proof tier from unverified locus to counterfactual verified, kept apart from link certainty our docs | Partial Noz points to a likely root cause signoz.io |
| Fix verified by re-running the failing case | Yes Same eval input fails on the baseline and passes on the candidate our docs | Partial Noz proposes fixes and confirms before applying signoz.io |
| Remediation behind approval or a policy gate | Yes Approval queue or single-use grant; your runner executes; a watchdog checks recovery our docs | Partial Noz asks for confirmation before config changes signoz.io |
| Matches new incidents to past ones | Yes Prior findings matched by fingerprint appear in incident evidence bundles our docs | Partial Noz saves past investigations you can search signoz.io |
Signals
| Capability | Observability Unified | SigNoz |
|---|---|---|
| Distributed tracing (OTLP) | Yes OTLP over HTTP; front gRPC with a Collector our docs | Yes OTLP-native signoz.io |
| Structured logs | Yes Trace-correlated our docs | Yes Logs Explorer with a query builder signoz.io |
| AI / LLM observability | Yes AI calls, agent runs, evals our docs | Yes LLM Observability signoz.io |
| Session replay | Yes rrweb, browser DOM only our docs | Not marketed† Requested in a GitHub discussion github.com |
| Browser click linked to its backend trace | Yes x-obs-interaction links a click to its trace, logs, and replay (browser SDK or header) our docs | Partial Browser OpenTelemetry traces linked to backend signoz.io |
| CPU profile from a trace | Yes When profiling is enabled and samples carry the trace ID our docs | Not marketed† No profiling product in the docs or README github.com |
| One ID chain from user to agent action | Yes user_id → session_id → interaction_id → trace_id → span_id → action_id our docs | Partial Browser traces link to backend traces; LLM spans join app traces signoz.io |
| Write your own queries over telemetry | Partial Search and filters; no query language or SQL editor our docs | Yes Query builder with aggregations and group-by, plus ClickHouse SQL signoz.io |
| Points out gaps in your instrumentation | Yes Flags spans with unexplained self-time in the waterfall and in get_trace our docs | Yes Trace view flags spans whose parent span was never collected signoz.io |
Deployment and access
| Capability | Observability Unified | SigNoz |
|---|---|---|
| Run the full platform yourself | Yes Docker image, Node + Postgres/S3, or Cloudflare our docs | Yes Community and Enterprise self-hosted editions github.com |
| Vendor-hosted cloud service | No Self-hosted only our docs | Yes SigNoz Cloud github.com |
| Built-in single sign-on | No Front it with Cloudflare Access or oauth2-proxy our docs | Yes SAML and OIDC on Cloud and Enterprise signoz.io |
Choosing between them
Choose SigNoz if you want an OpenTelemetry-native platform with ingest-based pricing, hosted or self-managed.
Choose Observability Unified if you want AI agents and engineers to investigate the same production evidence, with the telemetry kept on infrastructure you run. It is early-stage software suited to single-team deployments; the documented trade-offs include no built-in SSO, OTLP over HTTP only, and browser-only session replay.
How these cells were checked
Yes and Partial cells cite the vendor's own docs, pricing, product page, or official repository. No is used only where the cited page says so. Not marketed† means we read the vendor's product pages and found no such capability; it is an inference, not a vendor statement. Not stated means the vendor's docs do not say either way.
Rows for MCP write defaults, MCP links, agent tool calls, CPU profiles, self-hosting, and SSO were read on 2026-11-10 (ledger with excerpts). Rows for release and flag comparison, proof of cause, fix verification, gated remediation, click to trace, and dependency contention were read on 2026-11-11 (ledger with excerpts). Rows for compacted evidence for agents, agent skills, one ID chain, and instrumentation gaps were read on 2026-11-11 (ledger with excerpts). Rows for tool-call side effects, MCP call recording, production traces to eval cases, incident memory, and ad-hoc queries were read on 2026-11-11 (ledger with excerpts). The MCP server row was read on 2026-11-10 (ledger), and the remaining rows on 2026-10-13 (ledger). Vendors change their products often; if a cell is out of date, send a correction. The full comparison covers all nine vendors with excerpts.