

Azure Monitor and Elastic Observability are two prominent tools in the observability market. Elastic Observability seems to have the upper hand due to its powerful features and flexibility.
Features: Azure Monitor users appreciate its straightforward interface, seamless integration with Azure services, and user-friendly experience. Elastic Observability is valued for its advanced analytics, powerful search capabilities, and support for a wide range of data sources.
Room for Improvement: Azure Monitor users suggest enhancements in complex query handling, cost predictability, and user experience related to feature complexity. Elastic Observability users recommend improvements in documentation, user training resources, and easing the learning curve.
Ease of Deployment and Customer Service: Azure Monitor benefits from tight integration with Azure's ecosystem, making deployment smoother for Azure users, while its customer service is generally well-regarded. Elastic Observability supports a more diverse infrastructure, offering flexible deployment options, but users report a steeper learning curve. Elastic's customer service receives positive feedback for responsive support.
Pricing and ROI: Azure Monitor's pricing is seen as predictable and reasonable, especially for existing Azure customers, providing a good ROI. Elastic Observability attracts users with its extensive capabilities, though its pricing can be higher. Users feel that despite the cost, Elastic's comprehensive features justify the investment and offer substantial ROI.
Azure Monitor helps prevent impacts on their system.
Elastic Observability has saved us time as it's much easier to find relevant pieces across the system in one screen compared to our own software, and it has saved resources too since the same resources can use less time.
However, the second-line support is good.
Users end up getting no resolution from their team because they're outsourced vendors, and they don't have deeper expertise over any of the products they are referring to.
I would rate the support for Azure Monitor as a seven.
Elastic support really struggles in complex situations to resolve issues.
Their excellent documentation typically helps me solve any issues I encounter.
With APM, you can go heavy or you can go light. It just depends on what you want, what your use case is, and how reactive you want to be to system load or resilient to failure.
Azure Monitor is very scalable; there are no issues with scalability for different kinds of businesses.
I rate the scalability of Elastic Observability as a ten, as we have never seen issues even with a lot of data coming in from more customers, provided we have the appropriate configuration.
Elastic Observability seems to have a good scale-out capability.
Elastic Observability is easy in deployment in general for small scale, but when you deploy it at a really large scale, the complexity comes with the customizations.
Azure Monitor is working fine, yet I face a costing issue as if there are a lot of logs collected in the workspace or in the center, it becomes very costly.
There are some bugs that come with each release, but they are keen always to build major versions and minor versions on time, including the CVE vulnerabilities to fix it.
It is very stable, and I would rate it ten out of ten based on my interaction with it.
I would rate the stability of Elastic Observability as a ten, as we don't experience any issues.
If Azure Monitor can independently add one gigabyte, two gigabytes, or five gigabytes at least to log storage, I can fix the logs without syncing with Log Analytics Workspace and Sentinel.
The cost skyrockets once you start using it, and there are complaints that the actual cost of the Kubernetes cluster was less than the cost they were incurring for Azure Monitor.
The challenges with Azure Monitor are that it's initially complex to set up because you need multiple components.
For instance, if you have many error logs and want to create a rule with a custom query, such as triggering an alert for five errors in the last hour, all you need to do is open the AI bot, type this question, and it generates an Elastic query for you to use in your alert rules.
It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side.
Some areas such as AI Ops still require data scientists to understand machine learning and AI, and it doesn't have a quick win with no-brainer use cases.
When I export logs into the application, workspace, log analytic workspace, and into Sentinel to read reports, I need to add storage, which increases the cost.
The license is reasonably priced, however, the VMs where we host the solution are extremely expensive, making the overall cost in the public cloud high.
Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing.
Observability is actually cheaper compared to logs because you're not indexing huge blobs of text and trying to parse those.
The alerting features definitely help in reducing operational downtime for my customers by allowing us to get notifications in advance and take active actions.
I also appreciate the ability to measure feature activity, see what types of devices they are on, follow specific use cases, and measure the amount of traffic going to a particular application.
Resource monitoring is essential.
The most valuable feature is the integrated platform that allows customers to start from observability and expand into other areas like security, EDR solutions, etc.
the most valued feature of Elastic is its log analytics capabilities.
All the features that we use, such as monitoring, dashboarding, reporting, the possibility of alerting, and the way we index the data, are important.
| Product | Mindshare (%) |
|---|---|
| Azure Monitor | 2.4% |
| Elastic Observability | 1.9% |
| Other | 95.7% |


| Company Size | Count |
|---|---|
| Small Business | 23 |
| Midsize Enterprise | 7 |
| Large Enterprise | 29 |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 4 |
| Large Enterprise | 16 |
Azure Monitor delivers comprehensive monitoring across applications and cloud resources, integrating seamlessly with Azure services to enhance performance tracking and telemetry analysis.
Azure Monitor extends monitoring capabilities for applications, infrastructure, and security, featuring easy integration with Azure and third-party tools. It supports dynamic alerting and telemetry, offering log analytics and metrics gathering. Users benefit from its alert system and intuitive dashboards, making it a preferred choice for multi-cloud and infrastructure monitoring across diverse IT environments. While users seek improved query building and interface navigation, they appreciate its scalability and cost-effectiveness.
What key features does Azure Monitor offer?Azure Monitor sees widespread use for infrastructure and application monitoring across industries. Companies rely on it for performance tracking and incident management, often integrating it with Application Insights for enriched data analysis. Organizations use it to monitor servers and cloud services, utilizing its capabilities in DevOps practices and during cloud transformation processes for analyzing database metrics and ensuring efficient application functioning.
Elastic Observability offers a comprehensive suite for log analytics, application performance monitoring, and machine learning. It integrates seamlessly with platforms like Teams and Slack, enhancing data visualization and scalability for real-time insights.
Elastic Observability is designed to support production environments with features like logging, data collection, and infrastructure tracking. Centralized logging and powerful search functionalities make incident response and performance tracking efficient. Elastic APM and Kibana facilitate detailed data visualization, promoting rapid troubleshooting and effective system performance analysis. Integrated services and extensive connectivity options enhance its role in business and technical decision-making by providing actionable data insights.
What are the most important features of Elastic Observability?Elastic Observability is employed across industries for critical operations, such as in finance for transaction monitoring, in healthcare for secure data management, and in technology for optimizing application performance. Its data-driven approach aids efficient event tracing, supporting diverse industry requirements.
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