

Opsview and Elastic Observability compete in IT infrastructure monitoring and observability. Opsview is favored for pricing and customer service, while Elastic Observability is noted for its extensive feature set, making it a more comprehensive solution despite higher costs.
Features: Opsview delivers robust monitoring with proactive alerting, pre-configured integrations, and ease of use. Elastic Observability offers real-time analytics, data visualization, and comprehensive log management, catering to businesses seeking in-depth insights and integration flexibility.
Room for Improvement: Opsview could enhance its analytics capabilities, expand its integration options, and improve scalability for larger enterprises. Elastic Observability may improve deployment simplicity, adjust pricing tiers to be more budget-friendly, and provide more straightforward user interfaces.
Ease of Deployment and Customer Service: Opsview provides a straightforward deployment process and strong customer support services. Elastic Observability requires additional resources for setup, but its customer service is known for technical expertise, beneficial for complex technical issues.
Pricing and ROI: Opsview offers a cost-effective setup with a rapid ROI, appealing to budget-conscious IT operations. Elastic Observability, with a higher initial investment, justifies costs through scalable solutions and comprehensive metric analysis, attracting businesses seeking long-term value.
```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.
Elastic support really struggles in complex situations to resolve issues.
Their excellent documentation typically helps me solve any issues I encounter.
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.
Grafana does have features that I think my current solution lacks, such as better performance reporting.
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 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.
Opsview's alerting capabilities are very helpful, and they positively impact our incident response times.
| Product | Mindshare (%) |
|---|---|
| Elastic Observability | 1.4% |
| Opsview | 1.3% |
| Other | 97.3% |

| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 4 |
| Large Enterprise | 16 |
| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 5 |
| Large Enterprise | 9 |
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.
Opsview provides advanced monitoring for system availability, service metrics, and resource usage with flexibility and scalability tailored for global networks.
Opsview delivers comprehensive monitoring through its flexible alert framework, web GUI, and integration with Nagios plugins. It facilitates seamless server additions, supports multi-tenancy, and offers scalability with a MySQL backend. Configuring new hosts and services is straightforward, while advanced services like cloning and alert noise reduction enhance user experience. Users mention room for improvement in the API, database support, and features like bulk changes in the GUI. Despite these aspects, Opsview is preferred for cloud and client monitoring across multiple geographical points.
What are Opsview's most important features?Opsview proves valuable in cloud environments for monitoring resource availability and performance. Organizations deploy it for both internal and client-facing monitoring across global regions, benefiting from enhanced event triggers and automation opportunities, particularly in deployment monitoring and service tracking.
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