DX Unified Infrastructure Management and Elastic Observability are key players in the IT monitoring and observability space. DX Unified Infrastructure Management appears to have an advantage with its extensive monitoring probes and configuration flexibility, while Elastic Observability is highlighted for its simplicity and cost-effectiveness.
Features: DX Unified Infrastructure Management offers expansive scalability, a diverse array of monitoring probes, and agent-based technology not dependent on Java, which helps reduce resource usage. It also enables easy configuration and extensive dashboard customization. Elastic Observability is recognized for its robust search capabilities, hybrid cloud integration, and evolving application performance monitoring, although it lacks the depth of pre-built probes like DX UIM.
Room for Improvement: DX Unified Infrastructure Management could improve customer support, particularly in complex environments such as VMware, and advance alert management and system integration. Elastic Observability should enhance its visualization, add more application performance metrics, and simplify configuration tasks. Its dashboard flexibility and navigation complexity also need improvement.
Ease of Deployment and Customer Service: DX Unified Infrastructure Management supports diverse deployment environments, including hybrid clouds and on-premises setups, but faces inconsistent customer support with some teams lacking necessary product knowledge. Elastic Observability excels in public and on-premises cloud environments, receiving praise for technical support, although support tier navigation can pose challenges. Its simpler deployment process over DX UIM is a noted benefit.
Pricing and ROI: DX Unified Infrastructure Management's cost can be high, yet its comprehensive functionalities offer value for large-scale use. Careful planning allows cost efficiency. Elastic Observability is perceived as budget-friendly, particularly for smaller scales, but competes well in larger enterprises with its open-source model offering flexibility, although some features may have additional costs. Many users highlight its lower operational costs, contributing positively to 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.
Improving direct support for end customers, similar to Microsoft’s model, would be beneficial.
Elastic support really struggles in complex situations to resolve issues.
Their excellent documentation typically helps me solve any issues I encounter.
The solution helps with capacity management, enabling us to determine when we need to scale up the network.
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.
Better support and more accessible resources are crucial.
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 pricing of DX Unified Infrastructure Management is high and often a concern for customers.
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.
DX Unified Infrastructure Management offers visibility into network activities, integration capacity, and enhances monitoring at the core and application levels.
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 | 2.0% |
| DX Unified Infrastructure Management | 1.1% |
| Other | 96.9% |
| Company Size | Count |
|---|---|
| Small Business | 29 |
| Midsize Enterprise | 20 |
| Large Enterprise | 80 |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 4 |
| Large Enterprise | 16 |
DX Unified Infrastructure Management is the only solution that provides an open architecture, full-stack observability and zero-touch configuration for monitoring traditional data center, public cloud, and hybrid infrastructure environments.
Designed to ensure an optimal end-user experience, this solution provides a modern HTML5 operations console that makes it easy and fast for today’s IT teams to implement, use, and scale – leading to faster time to value.
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.
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