VMware Aria Operations for Logs and Elastic Observability are both popular tools in the log management and observability sector. Elastic Observability appears to have the upper hand with stronger features that suit advanced user needs.
Features: VMware Aria Operations for Logs is valued for its scalability, efficient log analysis, and simplified troubleshooting process. In contrast, Elastic Observability offers robust integrations, comprehensive analytics for various data sources, and superior flexibility that enriches its feature set.
Room for Improvement: VMware Aria Operations for Logs can improve its reporting capabilities and alert system to enhance real-time responsiveness. Users suggest Elastic Observability work on documentation clarity, resource usage optimization, and minimizing any system performance impact.
Ease of Deployment and Customer Service: Users report that VMware Aria Operations for Logs features a straightforward deployment but note room for enhancing support responsiveness. Elastic Observability offers flexible deployment, though some find initial setup complex. Users indicate Elastic’s customer service resolves issues effectively post-deployment.
Pricing and ROI: VMware Aria Operations for Logs is seen as affordably priced with strong ROI, particularly beneficial for existing VMware environments. Elastic Observability is perceived as more expensive but justified by its extensive features, delivering substantial ROI through advanced insights and operational efficiencies.
Elastic support really struggles in complex situations to resolve issues.
While support staff is knowledgeable, getting access to specialists can be challenging when dealing with the limits of a product.
Customer service and support have declined.
I did not need technical support because I am a professional with VMware.
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.
Since payment is based on hardware, scalability impacts are managed more effectively than with other tools paid by data volume.
It's relatively easy to find individuals with the skills to work with VMware because it is a widely spread tool.
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.
Managing a lot of data involves reliance on hardware and network performance, which are external factors that can affect stability.
It has been very stable, and every time I needed it, it was available and working.
VMware as a whole provides very stable tools.
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.
It would be beneficial to have a roadmap for these dashboards to ensure consistent functionality.
There is also dissatisfaction with Broadcom's broader attitude, which is prompting me to search for alternatives.
VMware Aria Operations for Logs is not a cost-effective tool.
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.
Splunk, often paid by the terabytes, becomes expensive quickly if not managed carefully.
The price has risen significantly, and for smaller customers, the cost can be up to ten times more than before.
VMware comes with a lot of packages, however, it remains too expensive.
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.
This tool also provides greater insight when integrated with VMware infrastructure, making it more precise than other tools.
The most valuable features are log centralization and long-term retention for logs.
A valuable feature of VMware Aria Operations for Logs is its ability to allow personalization of dashboards and requests.
| Product | Market Share (%) |
|---|---|
| VMware Aria Operations for Logs | 1.4% |
| Elastic Observability | 1.3% |
| Other | 97.3% |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 4 |
| Large Enterprise | 16 |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 9 |
| Large Enterprise | 12 |
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.
Manage data at scale with centralized log management, deep operational visibility and intelligent analytics for troubleshooting and auditing across private, hybrid and multi-cloud environments.
We monitor all Log Management 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.
