Evanios and Elastic Observability compete in enhancing IT operations with monitoring and automation. Elastic Observability has an advantage with its comprehensive features, justifying its higher investment.
Features: Evanios provides intelligent correlation capabilities, effective in reducing alert fatigue, and automation suited for small to medium environments. Elastic Observability offers extensive data collection, visualization, and in-depth logging and tracing capabilities, crucial for complex IT ecosystems.
Room for Improvement: Evanios could enhance data visualization, expand capabilities for larger environments, and improve detailed logging features. Elastic Observability may benefit from simplifying deployment, reducing resource-intensive processes, and offering more flexible pricing models.
Ease of Deployment and Customer Service: Evanios delivers a straightforward deployment process with strong customer support. Elastic Observability's deployment is more intricate, but comprehensive documentation and support are beneficial for complex needs.
Pricing and ROI: Evanios provides competitive pricing aimed at solid ROI for small to mid-size businesses. Elastic Observability's higher cost is justified by its advanced capabilities and potential for long-term ROI for enterprises requiring sophisticated observability solutions.
Elastic support really struggles in complex situations to resolve issues.
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.
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.
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.
They don't invest a lot in building out-of-the-box observable use cases, and they are more focusing on giving a very flexible environment for customization.
It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side.
This is a part of the hidden cost that the customer understands.
Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing.
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.
the most valued feature of Elastic is its log analytics capabilities.
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.
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 | 2.9% |
| Evanios | 0.2% |
| Other | 96.9% |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 4 |
| Large Enterprise | 16 |
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.
A key component of the Event Management process is consolidation of events from across the enterprise. By consolidating disparate events into a single solution, they can be de-duplicated and correlated. For example, network failure events can be correlated with system failures, and then prioritized based on service impact.
Reduce the noise
Evanios Integrations allows filtering and processing close to the event source, keeping the weight off of the ServiceNow system for increased performance. Filters are easily configured. EVA, the Evanios consolidation point also has built in event flood control features, to protect against unexpected event storms which can quickly overload traditional integrations.
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