Zabbix and Elastic Observability are two notable monitoring solutions with distinct advantages. Elastic Observability is often seen as superior due to its comprehensive feature set, even though Zabbix is recognized for its cost-effectiveness.
Features: Zabbix is strong in network, server, and application monitoring, offering robust data collection and alerting. Elastic Observability features extensive data analytics, machine learning integration, and a unified APM, Logs, and Metrics toolset.
Room For Improvement: Zabbix could improve scalability and intuitive configuration. Elastic Observability could benefit from simpler navigation and reduced resource consumption. Zabbix needs better scalability, while Elastic requires usability refinements.
Ease of Deployment and Customer Service: Zabbix has straightforward deployment and responsive customer support. Elastic Observability offers extensive documentation and community support but can be more complex to deploy.
Pricing and ROI: Zabbix is preferred for lower setup costs and high ROI, offering free open-source versions. Elastic Observability is higher in cost but considered justified due to its advanced functionalities. Zabbix offers better initial cost efficiency, while Elastic provides superior long-term value.
Elastic support really struggles in complex situations to resolve issues.
It is so straightforward that I have never had to use the support.
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.
What is not scalable for us is not on Elastic's side.
Zabbix is very scalable and lightweight.
Zabbix has high scalability.
I would rate its scalability ten out of ten.
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.
Elastic Observability is really stable.
Zabbix is very scalable and lightweight.
Zabbix is quite stable, and we haven't had any problems with Zabbix itself.
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.
The only issue I can note is that it's Linux-based, and Linux documentation is not the best.
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.
It is literally free.
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.
If disk usage surpasses a threshold, say 70%, I receive alerts and can take proactive action.
Zabbix has a lot of features, including monitoring, status updates, and collecting information telemetry from storages and servers as well.
Zabbix is Linux-based open-source software, and the main use case is to reduce costs.
Product | Market Share (%) |
---|---|
Elastic Observability | 3.9% |
Zabbix | 3.3% |
Other | 92.8% |
Company Size | Count |
---|---|
Small Business | 8 |
Midsize Enterprise | 4 |
Large Enterprise | 16 |
Company Size | Count |
---|---|
Small Business | 53 |
Midsize Enterprise | 23 |
Large Enterprise | 34 |
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.
Zabbix is an open-source monitoring software that provides real-time monitoring and alerting for servers, networks, applications, and services.
It offers a wide range of features including data collection, visualization, and reporting.
With its user-friendly interface and customizable dashboards, Zabbix helps organizations ensure the availability and performance of their IT infrastructure.
We monitor all Application Performance Monitoring (APM) and Observability reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.