DX Spectrum and Elastic Observability compete in the network and server monitoring category. Based on the features, Elastic Observability seems to have a competitive edge due to its end-to-end performance monitoring and real-time analysis.
Features: DX Spectrum provides superior network topology views, scalable architecture supporting multi-vendor environments, and comprehensive alarm management. Elastic Observability focuses on performance metrics across applications, powerful real-time monitoring, and offers an open-source solution with API customization.
Room for Improvement: DX Spectrum has outdated Java-based interfaces, lacks AI-driven predictive analytics, and needs better integration with non-CA products. Enhancements in reporting and device configuration are also noted. Elastic Observability requires improvements in APM capabilities, predictive analytics, and more detailed dashboards. Refinement of visualization tools and cost adjustments for smaller users are needed.
Ease of Deployment and Customer Service: Both DX Spectrum and Elastic Observability offer on-premises solutions, with Elastic also providing hybrid and cloud deployments. DX Spectrum faces varied customer satisfaction due to some delays in support, whereas Elastic Observability benefits from good technical support and active community forums.
Pricing and ROI: DX Spectrum is positioned as an enterprise solution with a potentially prohibitive licensing model for small businesses but offers ROI through automation. Elastic Observability is competitively priced, especially with its open-source version, yet smaller customers might still find costs high. Both deliver significant value depending on scale and needs.
Broadcom technical support is very good.
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.
Currently, they appear as pop-up messages, but I would prefer having alarm messages shown as a scrolling bar at the taskbar for easier visibility.
The event management should have more deduplication and alert correlation and check the bidirectional communication with ServiceNow.
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 price of DX Spectrum is not competitive when compared to other solutions, such as SolarWinds.
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 interface has the needed configuration for visualization, and it's effective in providing a complete diagram of network links and connections across various stations globally.
DX Spectrum uses an SNMP Trap to accept all the details, especially for device monitoring of faulty devices, allowing me to use Spectrum effectively.
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 | 2.9% |
| DX Spectrum | 0.9% |
| Other | 96.2% |
| Company Size | Count |
|---|---|
| Small Business | 26 |
| Midsize Enterprise | 19 |
| Large Enterprise | 88 |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 4 |
| Large Enterprise | 16 |
DX Spectrum is a complete event and fault management system for network operations teams. The tool provides powerful capabilities for managing your dynamic, complex IT infrastructure, which includes physical, virtual, and cloud environments.The technology allows you to manage and optimize the infrastructure and the professional services that operate on top of it. DX Spectrum is a unified platform that helps your company enhance network service levels while lowering monitoring costs.
DX Spectrum has intelligent event correlation and root-cause analysis capabilities. It can pinpoint the precise components that are causing issues with availability and network settings. Reports and dashboards can be customized with role-based views. Change management solutions can also be used by teams to govern, track, and remediate changes across network devices.
DX Spectrum can identify multi-technology and multi-vendor stacks, as well as new software-defined networks (SDNs). It supports Multicast, MPLS, VPN, and VRF, among other routing protocols and technologies.
DX Spectrum Features
DX Spectrum has many valuable key features. Some of the most useful ones include:
DX Spectrum Benefits
There are many benefits to implementing DX Spectrum. Some of the biggest advantages the solution offers include:
Reviews from Real Users
DX Spectrum stands out among its competitors for a number of reasons. Two major ones are its robust root cause analysis and its event correlation tool. PeerSpot users take note of the advantages of these features in their reviews:
Umair A., Enterprise Solutions & Services Head at Duroob Technologies, writes of the product, “It covers networks very well. It has all the capabilities that you're looking for when it comes to monitoring. Spectrum is great for root cause analysis. It has excellent correlation event management. Spectrum's stability and scalability are also amazing. If you have a CA Service Desk, then it can be integrated so that if you have open tickets they can be closed automatically.”
Itarchit, an IT Architect at a comms service provider, notes, “The most valuable feature is the event correlation mechanism. I also like the product's multi-customer approach.” He adds, “We haven't seen a better product. Overall, I am happy with this solution. Based on the current market, I would rate DX Spectrum a nine out of ten.”
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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