

Find out in this report how the two IT Infrastructure Monitoring solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
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.
Real-time monitoring and alerts have helped us reduce troubleshooting effort by approximately twenty to thirty percent, saving engineering time and helping maintain a reliable AWS infrastructure.
Elastic support really struggles in complex situations to resolve issues.
Their excellent documentation typically helps me solve any issues I encounter.
The customer support for Netdata has been generally perfect, as they helped me during troubleshooting and resolved monitoring issues on time.
The customer support has always been proactive and very responsive while handling our data growth.
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.
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.
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.
More flexible dashboard customization and simpler integrations with tools like PagerDuty or Slack would definitely make incident response smoother and reduce manual work in my organization.
Netdata can be improved by incorporating AI-driven anomaly detection and predictive monitoring capabilities to forecast potential bottlenecks.
Netdata could improve by offering more advanced customizable dashboards, simpler configuration for complex AWS environments, and better integration with third-party tools.
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.
Pricing visibility helped us understand usage and plan costs effectively.
The metering and billing experience was fairly straightforward, although I would like clear visibility into how usage affects cost as monitoring scales across more servers.
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.
These functionalities enhance visibility and proactive capabilities for faster anomaly detection, contributing to overall improved operational efficiency and infrastructure reliability.
Netdata's AI-driven monitoring is useful for identifying unusual system behavior, and security and access control are particularly important in my organization because they help me protect my customers' most sensitive data.
Netdata's best features that I find outstanding are the real-time monitoring, interactive dashboards, automated alerts, and detailed performance analytics.
| Product | Mindshare (%) |
|---|---|
| Elastic Observability | 1.2% |
| Netdata | 0.9% |
| Other | 97.9% |


| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 4 |
| Large Enterprise | 16 |
| Company Size | Count |
|---|---|
| Midsize Enterprise | 2 |
| Large Enterprise | 5 |
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.
Netdata offers real-time performance monitoring and troubleshooting across infrastructures. It provides deep insights and metrics visualization, ensuring seamless operation and efficiency for IT systems.
Netdata is widely regarded in IT environments for its comprehensive monitoring capabilities utilizing a highly adaptive data collection approach. It supports a large array of metrics enabling users to maintain peak performance. Users can visualize data with clarity, allowing for quick identification of issues and efficient resource management. Netdata employs an open-source approach, ensuring flexibility and community-driven enhancements.
What are Netdata's key features?Netdata finds application in industries such as finance, healthcare, and technology where uptime and performance are critical. Its flexible architecture adapts easily to these sectors, ensuring reliable monitoring for cloud operations and on-premise systems alike.
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