Azure Monitor vs OpenObserve: In-Depth Comparison 2026

Azure Monitor is Microsoft’s native cloud observability platform, tightly integrated with Azure services and built for teams already invested in the Azure ecosystem. OpenObserve is an open source observability platform written in Rust, designed for cost efficiency and flexible deployment on object storage or local disk. The main difference between Azure Monitor and OpenObserve is about architecture, data control, cost scaling, and how quickly teams can act on telemetry data without leaving their infrastructure.

Azure Monitor fits teams that want a fully managed Azure native solution with minimal configuration. OpenObserve fits teams that want open source flexibility, lower storage costs, and the option to run on premises or in any cloud.

This guide compares Azure Monitor and OpenObserve across pricing, deployment model, OpenTelemetry support, query language lock in, and alerting depth. It includes real cost scenarios for small and midsize teams, sourced limitations for both platforms, and a verdict on who should choose each.

Quick Comparison: Azure Monitor vs OpenObserve

	Azure Monitor	OpenObserve
Best for	Azure native teams, enterprises with EA agreements	Cost conscious teams, multi cloud, open source first
Pricing model	Pay as you go per GB ingestion + retention	Self hosted: infra only; Cloud: $0.30/GB or custom
OpenTelemetry	Partial support via Application Insights	Native support for OTel logs, metrics, traces
Deployment	Azure cloud only	Self hosted (on prem, any cloud) or managed cloud
Query language	KQL (Kusto Query Language)	SQL, VRL (Vector Remap Language), PromQL
Data retention	90 days default (extra cost beyond)	Unlimited on object storage or local disk
Alerting	Azure Monitor Alerts with Action Groups	Built in alerting via SQL queries and webhooks
Lock in risk	High: KQL queries, Azure native integrations	Low: open source, standard formats, multi cloud

Azure Monitor Overview

Azure Monitor is Microsoft’s observability platform for Azure cloud resources. It collects metrics, logs, and traces from Azure services, virtual machines, containers, and applications running in Azure. It integrates tightly with Azure services like Azure SQL Database, Azure Functions, Azure Kubernetes Service, and Azure Application Gateway.

Azure Monitor includes Application Insights for APM, Log Analytics for querying logs, Azure Monitor Metrics for time series data, and Azure Monitor Alerts for notifications. Logs are queried using KQL (Kusto Query Language), which is powerful but proprietary to Microsoft.

Pricing: Azure Monitor charges per GB ingested for logs, per metric sample, and per alert rule fired. Pricing starts at $2.76/GB for Log Analytics data ingestion in most regions, with the first 5 GB per billing account free each month. Metrics are billed per time series, starting at $0.10 per time series per month. Detailed pricing is available on the Azure Monitor pricing page.

Pros:

• Native integration with every Azure service with minimal setup
• KQL is expressive for complex log queries and joins
• Automatic collection of Azure resource metrics without agents
• Works seamlessly with Azure DevOps, Azure Pipelines, and Azure Security Center

Cons:

• Cost scales unpredictably as data volume or retention increases
• KQL creates lock in: dashboards and alerts are not portable to other platforms
• No on premises deployment: all telemetry must be sent to Azure cloud
• Users on Reddit report that configuring complex alerts in Azure Monitor requires multiple Action Groups and Logic Apps, which increases setup time and operational overhead

Best for: Teams fully committed to Azure infrastructure who want native integration and are willing to absorb KQL lock in and cloud only deployment.

OpenObserve Overview

OpenObserve is an open source observability platform built in Rust. It ingests logs, metrics, and traces using standard formats (OpenTelemetry, Prometheus, Elasticsearch APIs) and stores data on object storage like S3 or local disk, reducing storage costs significantly compared to traditional observability tools.

OpenObserve exposes REST endpoints for ingestion and supports SQL queries for data exploration. It is designed for teams that want to control where their data lives, avoid vendor lock in, and minimize storage costs by using cheap object storage instead of expensive time series databases.

Pricing: OpenObserve is open source and free to self host. Storage costs depend on your infrastructure (S3, MinIO, local disk). The managed cloud version pricing starts from around $0.30/GB for ingestion and storage, according to community discussions and GitHub issues. Official pricing for OpenObserve Cloud can be found on the OpenObserve pricing page.

Pros:

• Open source with no licensing fees for self hosted deployments
• Stores data on object storage (S3, MinIO) which is 10x cheaper than traditional TSDB storage
• Native OpenTelemetry support without proprietary agents
• SQL queries are portable and familiar to most engineers
• Can run on premises or in any cloud, giving full data residency control

Cons:

• Requires infrastructure management if self hosting (setup, scaling, backups)
• Smaller ecosystem and integration library compared to Azure Monitor
• Query performance can degrade on very high cardinality data without tuning
• Community support only unless you pay for managed cloud or enterprise support

Best for: Teams that want open source observability, need on premises deployment, or want to minimize storage costs by using object storage.

Azure Monitor vs OpenObserve: Feature by Feature Comparison

Data Ingestion and OpenTelemetry Support

Azure Monitor: Application Insights supports OpenTelemetry but requires the Application Insights SDK or OpenTelemetry exporter configured to send data to Azure. Metrics and logs from Azure resources are collected automatically via Azure Diagnostics. Custom metrics require instrumentation with SDKs or agents.

OpenObserve: Natively ingests OpenTelemetry logs, metrics, and traces without requiring proprietary SDKs. It also supports Elasticsearch bulk API for logs, Prometheus remote write for metrics, and custom JSON ingestion endpoints. This makes migration from Elasticsearch or Prometheus straightforward.

Winner: OpenObserve for OpenTelemetry native ingestion and broader compatibility with existing open source tooling.

Query Language and Lock In

Azure Monitor: Uses KQL (Kusto Query Language) for querying logs and metrics. KQL is powerful and expressive but proprietary to Microsoft. Every dashboard, alert, and query written in KQL cannot be ported to another platform without rewriting.

OpenObserve: Supports SQL for querying logs and metrics, which is portable across many platforms. It also supports VRL (Vector Remap Language) for data transformation and PromQL for metric queries. This reduces lock in risk significantly.

Winner: OpenObserve for query portability and lower lock in risk.

Deployment Model and Data Control

Azure Monitor: Cloud only. All telemetry data is sent to Azure data centers. Teams with data residency requirements or compliance constraints that require on premises data storage cannot use Azure Monitor.

OpenObserve: Can be self hosted on premises, in any cloud (AWS, Azure, GCP), or used as a managed cloud service. Self hosting gives full control over where data is stored and processed.

Winner: OpenObserve for deployment flexibility and data sovereignty.

Alerting and Notifications

Azure Monitor: Alerts are configured via Azure Monitor Alert Rules, which can trigger Action Groups that send notifications to email, SMS, webhooks, or Logic Apps. Setting up complex alert logic often requires chaining multiple Action Groups and Logic Apps, which users report as cumbersome.

OpenObserve: Alerting is built in and uses SQL queries to define alert conditions. Alerts can trigger webhooks, email, or integrations with PagerDuty, Slack, and other notification systems. Alerting is simpler to configure for teams familiar with SQL.

Winner: Tie. Azure Monitor offers deeper integration with Azure services; OpenObserve offers simpler SQL based alert setup.

Cost at Scale

Azure Monitor: Costs are based on ingestion volume, retention period, and query frequency. For a team ingesting 1 TB of logs per month with 90 day retention, costs can reach $2,760/month for Log Analytics ingestion alone (at $2.76/GB after the free 5 GB), plus additional costs for metrics, alerts, and extended retention.

OpenObserve: Self hosted storage on S3 costs approximately $23/TB/month for standard storage. Ingestion and query compute costs depend on instance size. For 1 TB/month ingested and stored on S3, total infrastructure cost (compute + storage) is typically under $300/month for a small to midsize team. Managed cloud pricing is higher but still competitive with Azure Monitor.

Winner: OpenObserve for cost efficiency at scale, especially for teams that self host.

Pricing Comparison: Azure Monitor vs OpenObserve

Scenario 1: Small Team (5 TB/month ingestion, 30 day retention)

Cost Component	Azure Monitor	OpenObserve (Self Hosted)
Log ingestion	$13,800 (5 TB × $2.76/GB)	$0 (open source)
Storage	Included in ingestion cost	$115 (5 TB × $23/TB S3)
Compute/infra	N/A (managed)	$150 (small instance)
Metrics	$500 (estimated for 5K time series)	Included
Alerts	$100 (estimated)	Included
Total/month	~$14,400	~$265

Scenario 2: Midsize Team (20 TB/month ingestion, 90 day retention)

Cost Component	Azure Monitor	OpenObserve (Self Hosted)
Log ingestion	$55,200 (20 TB × $2.76/GB)	$0 (open source)
Storage (90 days)	Included in ingestion cost	$1,380 (60 TB × $23/TB S3)
Compute/infra	N/A (managed)	$600 (larger instances)
Metrics	$2,000 (estimated for 20K time series)	Included
Alerts	$400 (estimated)	Included
Total/month	~$57,600	~$1,980

Disclaimer: Pricing based on publicly available information as of January 2026. Azure Monitor costs vary by region and Enterprise Agreement discounts. OpenObserve self hosted costs depend on cloud provider pricing for compute and storage. Always verify current rates on each vendor’s pricing page.

Azure Monitor vs OpenObserve: Pros and Cons Side by Side

	Azure Monitor	OpenObserve
Pros	Native Azure integration, automatic metric collection, powerful KQL queries, enterprise support from Microsoft	Open source, low storage cost on object storage, OTel native, SQL queries, on premises deployment, no vendor lock in
Cons	High cost at scale, KQL lock in, cloud only, complex alert setup	Requires infra management if self hosted, smaller ecosystem, query performance tuning needed for high cardinality

Who Should Choose Azure Monitor

Choose Azure Monitor if:

• Your entire infrastructure runs on Azure and you want native integration with minimal setup
• You have an Azure Enterprise Agreement with negotiated pricing
• You are comfortable with KQL and do not plan to migrate to another platform
• You need tight integration with Azure Security Center, Azure DevOps, and other Microsoft services

Who Should Choose OpenObserve

Choose OpenObserve if:

• You need on premises deployment or want control over where your telemetry data is stored
• You want to minimize storage costs by using object storage (S3, MinIO)
• You prefer open source tools and want to avoid vendor lock in
• You are already using OpenTelemetry and want native compatibility
• You operate in a multi cloud environment (AWS, Azure, GCP) and need portable observability

Azure Monitor vs OpenObserve vs CubeAPM

For teams that want a middle path between Azure Monitor’s managed convenience and OpenObserve’s open source flexibility, CubeAPM offers a self hosted but managed observability platform. CubeAPM runs inside your VPC or on premises, giving full data control like OpenObserve, but is managed by the CubeAPM team, removing the Day 2 ops burden.

	Azure Monitor	OpenObserve	CubeAPM
Deployment	Azure cloud only	Self hosted or managed cloud	Self hosted inside your VPC, managed by CubeAPM
OpenTelemetry	Partial support	Native support	Native support
Pricing	$2.76/GB logs + metrics + alerts	Self hosted: infra only; Cloud: ~$0.30/GB	$0.2/GB all signals (logs, traces, metrics)
Query language	KQL (proprietary)	SQL, VRL, PromQL	SQL, PromQL
Lock in risk	High	Low	Low (OTel native, standard formats)
Best for	Azure native enterprises	Open source teams, cost sensitive	Teams that want on prem data control without ops burden

CubeAPM fits teams that want Azure Monitor’s managed simplicity but cannot send telemetry data outside their infrastructure due to compliance or cost concerns. It also fits teams evaluating OpenObserve but concerned about the operational overhead of self hosting. Learn more about infrastructure monitoring platforms and how they compare across deployment models.

Verdict: Which Tool Should You Choose?

Choose Azure Monitor if: You are fully committed to Azure, want zero setup for Azure resource monitoring, and are willing to absorb KQL lock in and cloud only deployment.

Choose OpenObserve if: You need open source observability, want to minimize storage costs using object storage, or require on premises deployment for compliance or data residency.

Choose CubeAPM if: You want the data control and cost efficiency of self hosted observability but need the platform managed by a vendor, or you want unified APM, logs, and infrastructure monitoring in one platform. CubeAPM offers predictable $0.15/GB pricing, unlimited retention, and runs inside your infrastructure with full OpenTelemetry compatibility.

For additional guidance on observability platforms, see the Microsoft Azure monitor alternatives comparison and guides on synthetic monitoring and real user monitoring.

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.

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