SigNoz vs Azure Monitor: In-Depth Comparison 2026

Azure Monitor is Microsoft’s native observability platform, deeply integrated with Azure services and designed for teams already committed to the Azure ecosystem. SigNoz is an open source, OpenTelemetry-native platform that runs on your infrastructure, giving you full control over telemetry data without vendor lock in.

This comparison covers pricing models, deployment options, signal depth across metrics, traces, and logs, and where each platform genuinely leads. Both tools are included in this analysis, SigNoz as an open source alternative and Azure Monitor as the Azure native incumbent. CubeAPM is also covered as a third option for teams that want self hosted observability with managed vendor support.

Quick Summary Table

	Azure Monitor	SigNoz	CubeAPM
Best for	Azure-native teams, single-cloud Azure workloads	OTel-first teams, self-hosting, multi-cloud	Self-hosted with managed vendor support, data residency requirements
Pricing model	Pay-as-you-go per GB ingested, retention tiered	Self-hosted free, Cloud from $199/mo	$0.15/GB flat ingestion-based
Deployment	Azure-hosted SaaS only	Self-hosted or SigNoz Cloud	Self-hosted, vendor-managed
OTel support	Partial, proprietary agents preferred	Native, built on OTel collector	Native, OTel-first architecture
Traces + Logs + Metrics	Yes, tightly integrated with Azure	Yes, unified in one UI	Yes, unified full stack
Data residency	Azure regions only	Anywhere you deploy it	Full on-prem or VPC control
Multi-cloud ready	Limited, Azure-centric	Yes, cloud-agnostic	Yes, cloud-agnostic

Azure Monitor Overview

Azure Monitor is Microsoft’s observability platform for Azure infrastructure, applications, and services. It collects metrics, logs, and traces from Azure VMs, App Services, AKS clusters, Functions, and databases, surfacing them in a unified portal alongside alerting, dashboards, and Log Analytics queries using KQL (Kusto Query Language).

Strengths:

• Deep native integration with Azure services, no agent setup required for many resources
• Application Insights provides distributed tracing and RUM for web apps
• Log Analytics Workspace with KQL gives powerful query capabilities for log correlation
• Built in alerting with Action Groups for routing to Slack, PagerDuty, email, and webhooks

Limitations:

• Pricing opacity, ingestion costs plus retention costs plus query costs can stack unexpectedly
• KQL has a steep learning curve compared to PromQL or SQL-like queries
• Multi-cloud support is limited, AWS and GCP require custom configuration and lack first-class integration
• No self-hosted option, all telemetry stays in Azure’s infrastructure which blocks teams with strict data residency rules
• OpenTelemetry support is partial, Azure’s own SDKs and agents are pushed as the default path

Pricing:

Azure Monitor pricing is consumption based. Log Analytics ingestion costs start at $2.76/GB for pay-as-you-go with volume discounts at commitment tiers. Retention beyond 31 days costs $0.12/GB per month. Application Insights telemetry is charged separately. A 50-node AKS cluster generating 500 GB of logs and 200 GB of traces monthly could cost $1,600 to $2,200 before retention and query costs. Query costs add another layer, Log Analytics charges $0.62 per 1,000 queries for interactive queries and $0.0062 per GB scanned for batch queries.

Verify current rates at the Azure Monitor pricing page.

Pricing based on publicly available information as of April 2026. Enterprise discounts, reserved capacity, and negotiated rates are not reflected here.

SigNoz Overview

SigNoz is an open source observability platform built natively on OpenTelemetry. It collects metrics, traces, and logs in one unified backend, runs on your infrastructure or in SigNoz Cloud, and uses ClickHouse for storage to deliver fast queries at high cardinality. Teams using SigNoz typically want full data ownership, no vendor lock in, or cost predictability without per-seat or per-host fees.

Strengths:

• OpenTelemetry-native from day one, no proprietary agents or SDKs required
• Self-hosted deployment gives full control over data residency and retention
• Unified UI for traces, metrics, and logs, all correlated in one query
• ClickHouse storage enables fast aggregation queries even at petabyte scale
• Active open source community with frequent releases and transparent roadmap

Limitations:

• Self-hosted deployment requires managing ClickHouse, Kafka (optional), and the OTel collector stack
• Enterprise features like SSO, RBAC, and SLA support require SigNoz Cloud or enterprise license
• Smaller integration ecosystem compared to Datadog or Azure Monitor
• Documentation is improving but still less mature than established SaaS platforms
• No AI-driven anomaly detection or predictive alerting out of the box

Pricing:

SigNoz open source is free. SigNoz Cloud starts at $199/month for the Teams plan, which includes 200 GB ingestion per month, 15 days retention, and community support. The Enterprise plan offers custom pricing with unlimited retention, SSO, and dedicated support. Self-hosted infrastructure costs vary, a ClickHouse cluster on AWS or GCP with 500 GB daily ingestion typically costs $800 to $1,200 per month for compute and storage.

Verify current plans at the SigNoz pricing page.

This estimate models cloud infrastructure costs for a self-hosted deployment. Your actual costs will vary based on data volume, retention period, and instance sizing.

Feature-by-Feature Comparison

Application Performance Monitoring (APM)

Azure Monitor:

Application Insights provides distributed tracing, dependency mapping, and performance metrics for .NET, Java, Node.js, and Python applications. It auto-instruments Azure App Services and Functions with minimal configuration. Trace correlation is strong within Azure but weakens when spans cross to non-Azure services or on-prem workloads. The Application Map visualizes service dependencies but can become cluttered in large microservices architectures.

SigNoz:

SigNoz APM is built on OpenTelemetry tracing. It auto-instruments via OTel SDKs and supports manual instrumentation for custom spans. The Traces page shows flame graphs, span attributes, and query filters by service, operation, duration, and tags. Service dependency graphs are generated from trace data. Because it uses OTel, SigNoz traces work across AWS, GCP, Azure, and on-prem without vendor-specific SDKs. The trade-off is that you configure the OTel collector yourself, which takes more upfront work than Azure’s auto-instrumentation.

CubeAPM:

CubeAPM offers full stack APM with distributed tracing, RED metrics at service and endpoint level, and runtime insights including memory, GC, and thread stats. It uses OTel-native instrumentation and correlates traces with logs and infrastructure metrics in one UI. CubeAPM runs on your infrastructure, keeping trace data local. Migration from Datadog or New Relic agents is supported, allowing incremental rollout without ripping out existing instrumentation.

Log Management

Azure Monitor:

Log Analytics Workspace collects logs from Azure VMs, AKS, App Services, and custom sources via Log Analytics Agent or Azure Monitor Agent. Logs are queried with KQL, which is powerful but requires learning a new query language. Retention is tiered, 31 days interactive at base price, then archive tiers at lower cost but higher query latency. Log correlation with traces is possible but requires manual joins in KQL queries. Azure Monitor does not index all log fields by default, selective indexing reduces cost but can slow exploratory queries.

SigNoz:

SigNoz stores logs in ClickHouse with full-text search and attribute-based filtering. Logs are automatically correlated with traces by trace ID, enabling one-click pivot from a slow trace to the exact log lines during that request. Log ingestion is priced as part of total data ingested, no separate log vs trace billing. Retention is unlimited in the open source version if you scale ClickHouse storage yourself. The UI supports filtering by severity, service, and custom attributes. Log parsing and transformation happen in the OTel collector pipeline, giving you full control over what gets stored.

CubeAPM:

CubeAPM log management includes full-text search, high-cardinality filtering by service, log level, and custom fields, and automatic trace-log correlation. Logs never leave your infrastructure. Retention is unlimited at no extra cost, all logs remain searchable. The log UI supports adjacent log view, keyword include/exclude filters, and instant drill-down from error traces to surrounding log context. CubeAPM is compatible with Logstash, FluentBit, and OTel log exporters.

Infrastructure Monitoring

Azure Monitor:

Azure Monitor collects metrics from Azure VMs, AKS nodes, storage accounts, databases, and networking components automatically. Metrics include CPU, memory, disk IOPS, network throughput, and Azure-specific signals like Application Gateway request counts. Metrics are stored at 1-minute granularity for 93 days. Custom metrics can be sent via Azure Monitor Agent or REST API. Dashboards are built in the Azure Portal or Grafana. Alerting supports metric thresholds, log query results, and resource health signals.

SigNoz:

Infrastructure monitoring in SigNoz is done via the OTel collector’s host metrics receiver. It collects CPU, memory, disk, and network metrics from any host running the collector. Kubernetes monitoring uses the OTel Kubernetes receiver to gather pod, node, and cluster-level metrics. Metrics are visualized in pre-built dashboards or custom queries. SigNoz does not auto-discover Azure resources the way Azure Monitor does, you configure the OTel collector to scrape the endpoints you care about. This gives flexibility but requires more manual setup.

CubeAPM:

CubeAPM infrastructure monitoring tracks hosts, containers, Kubernetes clusters, and cloud services across AWS, Azure, GCP, and on-prem. It monitors VMs, Docker containers, serverless functions, Kubernetes nodes and pods, and databases including MySQL, PostgreSQL, Redis, and Kafka. Metrics are indexed and searchable at high cardinality. CubeAPM dashboards are no-code and customizable. Kubernetes insights include node conditions, pod restarts, OOMKills, and HPA scaling events.

Real User Monitoring (RUM)

Azure Monitor:

Application Insights includes browser-side RUM via a JavaScript snippet. It tracks page load times, AJAX calls, JavaScript errors, and user sessions. Core Web Vitals (LCP, FID, CLS) are captured. RUM data correlates with backend APM traces when both use Application Insights. Session replay is available in preview. The downside is that RUM telemetry is sent to Microsoft’s Azure backend, which may not meet data residency requirements for regulated industries.

SigNoz:

SigNoz supports RUM via OpenTelemetry JavaScript SDK. It captures page views, AJAX requests, and errors. RUM traces can be correlated with backend traces if both use OTel trace context propagation. SigNoz RUM is less mature than Application Insights, session replay and advanced user journey mapping are not yet available. But because RUM data stays in your SigNoz deployment, you retain full control over user telemetry.

CubeAPM:

Real User Monitoring in CubeAPM tracks page load times, AJAX calls, Core Web Vitals, JavaScript errors, and user sessions. RUM data correlates with backend APM traces and logs. Session replay is included. RUM telemetry stays on your infrastructure, meeting data privacy and residency requirements by default. CubeAPM RUM is particularly strong for teams in regulated industries where sending user data to third-party SaaS is blocked by compliance.

Synthetic Monitoring

Azure Monitor:

Application Insights supports availability tests, also called web tests, which ping endpoints from Azure regions to check uptime and response time. Multi-step tests can simulate user workflows. Tests run at fixed intervals (5, 10, or 15 minutes). Alerting triggers when availability drops below a threshold. This is sufficient for basic uptime checks but lacks the scripted transaction depth of dedicated synthetic monitoring tools.

SigNoz:

SigNoz does not include native synthetic monitoring. Teams using SigNoz typically run external uptime tools like Blackbox Exporter (Prometheus-based), Uptime Kuma, or commercial services, then send the results as metrics or logs into SigNoz for correlation with APM and infrastructure data.

CubeAPM:

Synthetic monitoring in CubeAPM includes URL success checks, scripted browser tests for multi-step transactions (login, checkout, form submission), and API monitoring. Tests run from 50+ global and local endpoints at 1 to 5 minute intervals. Synthetic failures link directly to APM traces, logs, and infrastructure metrics, enabling full-stack root cause analysis in one platform.

Alerting and Anomaly Detection

Azure Monitor:

Azure Monitor alerting supports metric alerts, log query alerts, activity log alerts, and resource health alerts. Action Groups route alerts to email, SMS, webhooks, Logic Apps, and third-party services like PagerDuty. Smart Detection in Application Insights uses machine learning to detect anomalies in response time and failure rate without manual thresholds. However, Reddit users report that Smart Detection generates false positives, especially in applications with variable traffic patterns, leading teams to disable it and rely on static thresholds instead.

SigNoz:

SigNoz alerting is based on metrics, traces, and logs. You define alert rules using PromQL-style queries, set thresholds, and route notifications to Slack, PagerDuty, email, and webhooks. SigNoz does not have built-in anomaly detection. You configure alerts manually. This gives full control but requires teams to know their baselines and set thresholds themselves. For teams that want alerting to “just work,” this is a weakness. For teams that want zero false positives, it is a strength.

CubeAPM:

CubeAPM alerting supports metric, span, and log-based alert rules with anomaly detection using baseline analysis. Alerts include full context, attaching the relevant trace, logs, and infrastructure snapshot to every notification. Routing supports Slack, PagerDuty, email, and webhooks. CubeAPM’s contextual alerting reduces noise by grouping related signals, for example, a spike in API latency + increased database query time + high memory usage all surface as one correlated alert instead of three separate noisy alerts.

Pricing Comparison

Cost Breakdown for 30 TB Monthly Ingestion

This scenario models a mid-sized engineering team with 60 hosts, 30 TB monthly telemetry (20 TB logs, 7 TB traces, 3 TB metrics), and 30-day retention.

Cost Component	Azure Monitor	SigNoz Cloud	SigNoz Self-Hosted	CubeAPM
Ingestion	$82,800 (Log Analytics $2.76/GB)	$9,000 ($0.30/GB)	Infrastructure only	$4,500 ($0.15/GB)
Retention (30 days)	Included in ingestion	Included	Included	Included
Infrastructure (self-hosted)	Not applicable	Not applicable	$2,500 (ClickHouse cluster)	Included in vendor-managed
User seats	$0	$0	$0	$0
Total monthly cost	$82,800	$9,000	$2,500 + ops burden	$4,500

Pricing based on publicly available information as of April 2026. Enterprise discounts, reserved capacity, and negotiated rates are not reflected here.

Azure Monitor’s per-GB ingestion pricing at $2.76 means 30 TB costs $82,800 per month before any query or retention add-ons. For comparison, the same workload on SigNoz Cloud costs $9,000 monthly. Self-hosted SigNoz requires managing ClickHouse and Kafka, adding operational complexity but cutting direct costs to infrastructure only.

CubeAPM at $0.15/GB totals $4,500 monthly with no infrastructure management burden, the vendor handles updates, patches, and scaling while your data stays in your VPC.

Who Should Choose Each Tool

Choose Azure Monitor if:

• Your entire stack runs on Azure and you have no multi-cloud requirements
• You want zero setup, auto-instrumentation for Azure App Services, Functions, and AKS is a priority
• Your team already knows KQL and uses Log Analytics Workspace for security and compliance queries
• You are willing to accept consumption-based pricing opacity in exchange for deep Azure-native integration

Choose SigNoz if:

• You want full data ownership and control, with no vendor lock in
• Your architecture spans multiple clouds (Azure, AWS, GCP) or includes on-prem workloads
• OpenTelemetry portability matters, you want traces and metrics that work across any backend
• You have the engineering capacity to manage ClickHouse, Kafka, and the OTel collector stack
• You want cost predictability, SigNoz Cloud at $0.30/GB or self-hosted infrastructure costs are fixed and transparent

Choose CubeAPM if:

• You need self-hosted observability but do not want to manage ClickHouse, Kafka, or OTel collector operations
• Data residency and compliance (HIPAA, GDPR, SOC 2) require telemetry to stay in your VPC or on-prem
• You want flat, predictable pricing at $0.15/GB with no per-seat, per-host, or per-feature surcharges
• You need full-stack observability (APM, logs, infrastructure, RUM, synthetics) in one platform with vendor-managed uptime and support

SigNoz vs Azure Monitor: Verdict

Azure Monitor is the right choice for teams fully committed to Azure with no multi-cloud or on-prem workloads. Its auto-instrumentation and deep Azure integration reduce setup time. But the pricing model becomes expensive at scale, and KQL lock-in makes migration painful if you ever leave Azure.

SigNoz is the right choice for teams that prioritize OpenTelemetry portability, data ownership, and cost transparency. It works across any cloud or on-prem environment. The trade-off is operational complexity, you manage the backend yourself unless you pay for SigNoz Cloud.

CubeAPM is the right choice for teams that want the data control and cost predictability of self-hosting without the operational burden of managing ClickHouse and Kafka. It delivers full-stack observability, flat $0.15/GB pricing, and vendor-managed infrastructure that runs inside your VPC.

For Azure-native teams with no plans to leave Microsoft’s ecosystem, Azure Monitor is the path of least resistance. For multi-cloud teams or anyone planning eventual migration, SigNoz or CubeAPM deliver OpenTelemetry-native observability without Azure lock-in.

Disclaimer: The information in this article reflects the latest details available at the time of publication and may change as technologies and products evolve. Features, pricing, and plan limits can change over time. Always verify the latest information directly with the vendor before making purchasing or deployment decisions.

Frequently Asked Questions