

Elastic Observability and Veeam Data Platform compete in the monitoring and data management realm. Based on feature set superiority, Elastic Observability stands out with its advanced capabilities and comprehensive toolset, while Veeam Data Platform excels in backup and recovery features.
Features: Elastic Observability offers detailed metrics, customizable dashboards, and extensive plugin support. It also provides unlimited support for elastic search hosts, making it economically favorable. Veeam Data Platform is recognized for strong backup and recovery features, seamless replication, and quick backup times.
Room for Improvement: Elastic Observability could improve on automation, predictive analytics, and AIOps features, while simplifying its licensing model. Users also desire better visualization tools and market skill enhancement. Veeam Data Platform could address complex reporting, reduce costs for small-scale applications, and expand cloud integration and storage system support.
Ease of Deployment and Customer Service: Elastic Observability is versatile in hosting across on-premises, public, and hybrid cloud infrastructures, offering flexibility. Its customer support is satisfactory, though it could improve incident resolution times. Veeam Data Platform is primarily deployed on on-premises and private clouds, appreciated for seamless deployment. Its technical support is well-regarded but could benefit from simplified documentation.
Pricing and ROI: Elastic Observability is generally cost-efficient, with pricing linked to data ingestion rates and retention. It’s competitive but can be complex for smaller users. It shows strong ROI through efficient data management. Veeam Data Platform is mid-range in cost, more affordable for large deployments, with predictable licensing structures. Users report significant ROI through effective recovery solutions.
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.
Elastic support really struggles in complex situations to resolve issues.
Their excellent documentation typically helps me solve any issues I encounter.
Most cases are handled perfectly.
I would rate their technical support a 10 out of 10.
The escalation from first, second to third tier is sometimes very long-lasting, but the resolve rate is quite high.
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.
It involves acquiring additional licenses as needed.
I would rate the scalability part of Veeam Data Platform 10 out of 10 because we have the ability to scale out the product at any time with scale-out backup repositories and can add licenses as needed.
In order to scale Veeam Data Platform, we have to pay a lot more money.
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.
There are no issues with stability in Veeam Data Platform.
I can say the stability of Veeam Data Platform is almost 8 to 9, as the cluster functionality was not there in earlier platforms such as version 12, but is provided in version 13.
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 improvement we would like to see is the option to scale Veeam Data up in smaller sections rather than large sections, which requires paying much more.
Reducing it by 20% would make it more accessible to a broader range of customers.
OpenStack is something Veeam Data Platform doesn't support, and they haven't indicated that they will support it in the future.
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.
I don't consider the price expensive given its importance.
A reduction of 20% in the current cost would make the solution more attractive to clients.
Veeam Data Platform is more expensive than OpenStack because we pay for it in US dollars, while we pay for OpenStack in Egyptian pounds.
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.
The platform is user-friendly, comprehensive, and compatible with numerous market solutions, including virtualization and bare metal servers.
The most important aspect of this platform is data security with immutable data in the storage.
Veeam Data Platform is valuable for its stability and the ability to easily contact support for assistance.
| Product | Market Share (%) |
|---|---|
| Elastic Observability | 3.0% |
| Veeam Data Platform | 1.0% |
| Other | 96.0% |


| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 4 |
| Large Enterprise | 16 |
| Company Size | Count |
|---|---|
| Small Business | 217 |
| Midsize Enterprise | 99 |
| Large Enterprise | 139 |
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.
Veeam Data Platform is a leader in data resilience, providing businesses with reliable and secure backup, recovery, and advanced data insights. It is designed to combat today's cyber threats while ensuring data remains protected, adaptable, and recoverable.
Engineered to offer a seamless and powerful data resilience experience, Veeam Data Platform helps organizations with intelligent protection beyond just backup. It enables orchestrated and verifiable recovery processes, helping maintain continuous operations. By offering integrated solutions against evolving cyber threats, this platform assures businesses of data availability and precision restoration, empowering them to remain resilient under any circumstances. Its robust security features, coupled with efficient replication and deduplication benefits, deliver confidence in data management across hybrid and cloud deployments.
What features make Veeam Data Platform stand out?Veeam Data Platform is primarily used for managing backup and replication across VMware and Hyper-V environments, supporting both cloud and on-premises infrastructures. In industries managing significant IT services, it assists in disaster recovery and virtual machine protection, enhancing business continuity. Its integration with applications like Microsoft Office 365 ensures reliable data protection and quick recovery, making it beneficial for those looking to streamline operations across diverse deployment scenarios.
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