

Elastic Observability and Prevasio compete in the field of technology tools for monitoring and security management. Elastic Observability appears to have the upper hand due to its comprehensive feature set, particularly for extensive log analytics and monitoring capabilities.
Features: Elastic Observability offers advanced observability features, including flexible licensing based on hosts, extensive monitoring capabilities, and seamless integration with platforms like Kibana. It provides robust data search and visualization and benefits from open-source elements and machine learning features which enhance data analysis capabilities. Prevasio excels in managing and optimizing firewall configurations across various environments, providing valuable integration and policy management within hybrid setups.
Room for Improvement: Elastic Observability could enhance its automation and visualization capabilities, with users desiring more detailed dashboards and APM improvements. The licensing model may need better transparency and a steep learning curve can be challenging. Prevasio users face difficulties with integration complexities and indicate the need for better risk profile customization and improved multi-vendor compatibility.
Ease of Deployment and Customer Service: Elastic Observability provides various deployment modes, including on-premises and hybrid clouds, while offering strong technical support and detailed documentation. However, deployment complexity can pose challenges. Prevasio excels in hybrid environment deployments and clients value its responsive support, though users seek smoother integration processes with existing systems.
Pricing and ROI: Elastic Observability is seen as cost-effective, with competitive pricing, especially when leveraging open-source components, though affordability is a concern for smaller enterprises. Its ROI is favorably viewed due to reduced incidents and better data management. In contrast, Prevasio's pricing is variable, with some reports of high costs in specific markets. The product is potentially cost-effective, but complexities and licensing variability may impact 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.
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.
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.
| Product | Market Share (%) |
|---|---|
| Elastic Observability | 8.4% |
| Prevasio | 0.4% |
| Other | 91.2% |


| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 4 |
| Large Enterprise | 16 |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 2 |
| Large Enterprise | 6 |
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.
Prevasio is an agentless cloud-native application protection platform (CNAPP) that provides increased visibility into security and compliance gaps, enabling cloud operations and security teams to prioritize risks and ensure compliance with internet security benchmarks.
Prevasio combines cloud-native security with SRI International's proprietary AI capabilities and AlgoSec’s expertise in securing 1,800 of the world’s most complex organizations.
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