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.
I would rate the stability of Elastic Observability as a ten, as we don't experience any issues.
Elastic Observability is really stable.
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.
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.
Many customers struggle to understand their total cost of ownership because Elastic licensing is not dependent on easy, quantifiable metrics such as number of users or amount of data.
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.
Every integration, whether for Windows or Linux or even Palo Alto or Fortinet, installs the out-of-the-box dashboards along with it, making it easy to parse incoming data meaningfully and immediately start viewing dashboards to see what's happening in the platform.
| Product | Mindshare (%) |
|---|---|
| Elastic Observability | 1.2% |
| DX Unified Infrastructure Management | 1.5% |
| Other | 97.3% |
| 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 offers scalable, easy deployment with flexible multi-tenancy and extensive monitoring capabilities for managed service providers.
DX Unified Infrastructure Management serves managed service providers by providing comprehensive infrastructure monitoring for servers, applications, networks, databases, cloud environments, and data centers. It features a Unified Monitoring Portal and predefined templates for enhanced usability. Robust reporting and alerting features provide critical insights while offering agent-based and agentless options to support diverse infrastructure requirements. The system's integration capabilities and application-level monitoring are key strengths, while a customizable framework allows for effective automation and probe management, consolidating data sources efficiently.
What are the key features of DX Unified Infrastructure Management?Managed service providers and integrators implement DX Unified Infrastructure Management globally, engaging clients in regions like the US, Europe, South America, and Asia. They replace older systems like Nagios and Cacti for more modern infrastructure management. It is widely used for client infrastructure management with capabilities like URL monitoring and synthetic transactions, supported by a modern HTML5 UI. Faster adaptation to new technologies, improved web admin tools, optimization of reporting, and reduced manual tasks are continually addressed, enhancing system performance, particularly for Linux environments.
Elastic Observability is known for its powerful search capabilities, central logging, and integration with cloud-native tasks. It enhances monitoring for applications and systems through its flexibility and machine learning features.
Elastic Observability is a robust tool offering end-to-end monitoring and performance analysis, widely utilized for application performance monitoring, centralized logging, and metrics collection. Kibana enables data visualization and connection of sources, while the platform aids in incident response with real-time insights. Despite its complex learning curve, limited customization, and licensing challenges, it remains valuable for businesses seeking to improve operational efficiency with additional support from log analytics and system automation.
What are the key features of Elastic Observability?A wide range of industries apply Elastic Observability for its capabilities in capturing significant data points to offer insights into business and technical performance. Its applications span log events, application monitoring, network protocol monitoring, and more, aiding in data-driven decision-making processes within sectors like IT, finance, and e-commerce.
We monitor all IT Infrastructure Monitoring 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.
