Elastic Observability and Veeam Data Platform are major players in the data management and application monitoring category. Elastic Observability holds the upper hand for larger organizations with its flexible data visualization and affordability, while Veeam Data Platform excels with robust backup and recovery capabilities, especially in VM environments.
Features: Elastic Observability provides a comprehensive platform with unlimited licenses based on Elasticsearch hosts, making it cost-effective. It supports Kibana integrations and offers flexible data visualization and machine learning capabilities. Veeam Data Platform is known for instant recovery, replication, and efficient backup management, providing reliable, user-friendly solutions integrated seamlessly with VM environments.
Room for Improvement: Elastic Observability users suggest enhancing visualization tools, metrics control, and scalability, alongside improving automation and adding more cloud-native features. Adjusting its licensing model for smaller organizations would be beneficial. For Veeam Data Platform, improvements include better physical backup capabilities, enhanced scalability, and a simpler licensing model. More automation in disaster recovery and reduced cloud integration complexity are desired.
Ease of Deployment and Customer Service: Elastic Observability is praised for its flexible deployment across on-premises and cloud environments, though users want improved documentation and support. Veeam Data Platform is celebrated for straightforward on-premises deployment and responsive customer support, highlighting ease of management.
Pricing and ROI: Elastic Observability is considered cost-effective with competitive pricing favoring larger organizations, thanks to efficient data handling and automation. Veeam Data Platform is regarded as affordable given its features, though relatively expensive for large VM environments, yet still delivers solid ROI with robust backup functionalities.
Most cases are handled perfectly.
I would rate their technical support a 10 out of 10.
Elastic Observability seems to have a good scale-out capability.
What is not scalable for us is not on Elastic's side.
It involves acquiring additional licenses as needed.
In order to scale Veeam Data Platform, we have to pay a lot more money.
It is very stable, and I would rate it ten out of ten based on my interaction with it.
Elastic Observability is really stable.
There are no issues with stability in Veeam Data Platform.
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.
One example is the inability to monitor very old databases with the newest version.
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.
Compared to IBM, Veeam Data Platform is simpler but brings some challenges with automation in backup and Oracle backup configuration.
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 provides me with the most useful features such as application restore, single file restore, backup and replication, and continuous replication.
Elastic Observability is primarily used for monitoring login events, application performance, and infrastructure, supporting significant data volumes through features like log aggregation, centralized logging, and system metric analysis.
Elastic Observability employs Elastic APM for performance and latency analysis, significantly aiding business KPIs and technical stability. It is popular among users for system and server monitoring, capacity planning, cyber security, and managing data pipelines. With the integration of Kibana, it offers robust visualization, reporting, and incident response capabilities through rapid log searches while supporting machine learning and hybrid cloud environments.
What are Elastic Observability's key features?Companies in technology, finance, healthcare, and other industries implement Elastic Observability for tailored monitoring solutions. They find its integration with existing systems useful for maintaining operation efficiency and security, particularly valuing the visualization capabilities through Kibana to monitor KPIs and improve incident response times.
Veeam Data Platform is designed for modern data management, providing secure backups, intelligent data insights, and resilience. It ensures data is protected, recoverable, and manageable across complex environments, supporting business continuity effectively.
Veeam Data Platform stands out with its robust capabilities in data protection, orchestrated recovery, and efficient management. It offers a simple interface while ensuring data security and availability, which is critical for businesses. The platform's compatibility with virtual machines, databases, and applications across VMware, Hyper-V, and cloud environments makes it a versatile choice for backup and disaster recovery strategies. Users gain confidence from its performance, from secure backups to facilitating effective infrastructure monitoring.
What are the key features of Veeam Data Platform?Veeam Data Platform is widely implemented by industries needing robust disaster recovery plans and data management solutions. It is particularly valuable in environments utilizing hybrid cloud solutions, protecting mission-critical workloads, and ensuring business continuity. Businesses leverage its capabilities to safeguard data integrity and facilitate long-term retention through efficient infrastructure management.
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