Amazon CloudWatch and Veeam Data Platform compete in cloud monitoring and data protection. Veeam appears to be the stronger contender due to its robust data management capabilities.
Features: Amazon CloudWatch offers real-time data monitoring, seamless AWS integration, and detailed metrics with alarms and event triggers. Veeam Data Platform provides strong backup, instant recovery, and replication features, integrating well with VMware.
Room for Improvement: Amazon CloudWatch users desire enhanced reporting, visualization, and third-party tool integration, particularly in dashboards and alert flexibility. Veeam Data Platform needs better support for physical servers, specific storage integration, and a simpler pricing model. Enhanced cloud integration and automation capabilities are also needed.
Ease of Deployment and Customer Service: Amazon CloudWatch excels in public cloud integration within AWS, but support is tiered and can be expensive. Veeam Data Platform offers deployment versatility across environments, especially on-premises, though its configurations require careful management. Both products provide variable support, with Amazon focused on purchased tiers and Veeam offering standard enterprise-level service.
Pricing and ROI: Amazon CloudWatch’s pay-as-you-go model benefits AWS-embedded businesses but can be costly when usage scales. Veeam Data Platform, although more expensive, presents cost-effective solutions for enterprises needing comprehensive backup across environments, offering stable ROI through predictable server-based pricing.
Amazon CloudWatch offers cost-saving advantages by being an inbuilt solution that requires no separate setup or maintenance for monitoring tasks.
While using their cloud and cloud resources, if you have an issue with CloudWatch, you must pay additional monthly fees to get time from dedicated tech support.
In recent years, due to business expansion, knowledge levels among support engineers seem to vary.
I would rate their technical support a 10 out of 10.
Most cases are handled perfectly.
Amazon CloudWatch's scalability is managed by AWS.
It involves acquiring additional licenses as needed.
In order to scale Veeam Data Platform, we have to pay a lot more money.
I sometimes notice slowness when Amazon CloudWatch agents are installed on machines with less capacity, causing me to use other monitoring tools.
There are no issues with stability in Veeam Data Platform.
When using third-party dashboards such as Kibana or Grafana and other visualization tools, there should be a way to feed CloudWatch's data and logging capabilities into these visualization tools.
Amazon CloudWatch charges extra for custom metrics, which is a significant disadvantage.
Maybe Amazon Web Services can improve by providing a library for CloudWatch with some useful features.
Compared to IBM, Veeam Data Platform is simpler but brings some challenges with automation in backup and Oracle backup configuration.
OpenStack is something Veeam Data Platform doesn't support, and they haven't indicated that they will support it in the future.
Reducing it by 20% would make it more accessible to a broader range of customers.
Overall, the pricing of Amazon CloudWatch is very expensive.
Amazon CloudWatch charges more for custom metrics as well as for changes in the timeline.
I believe it is not expensive; it's the regular price.
Veeam Data Platform is more expensive than OpenStack because we pay for it in US dollars, while we pay for OpenStack in Egyptian pounds.
A reduction of 20% in the current cost would make the solution more attractive to clients.
Being an inbuilt solution from AWS, it saves time on installation, setup, and maintenance.
I like its filtering capability and its ability to give the cyber engine insights.
The best features of Amazon CloudWatch need to improve visibility into the network because when using hundreds of network resources such as transit gateway, VPNs, routers, route tables, and firewalls, it does not give many details in a structured manner.
The most important aspect of this platform is data security with immutable data in the storage.
The platform is user-friendly, comprehensive, and compatible with numerous market solutions, including virtualization and bare metal servers.
It is also one of the most scalable backup solutions I've worked with.
Amazon CloudWatch is used for monitoring, tracking logs, and organizing metrics across AWS services. It detects anomalies, sets dynamic alarms, and automates actions to optimize cloud utilization, troubleshoot, and ensure service availability.
Organizations leverage Amazon CloudWatch for collecting and analyzing logs, triggering alerts, and profiling application performance. It's also employed for monitoring bandwidth, virtual machines, Lambda functions, and Kubernetes clusters. Valuable features include seamless integration with AWS, real-time data and alerts, detailed metrics, and a user-friendly interface. It provides robust monitoring capabilities for infrastructure and application performance, log aggregation, and analytics. Users appreciate its scalability, ease of setup, and affordability. Additional key aspects are the ability to create alarms, dashboards, and automated responses, along with detailed insights into system and application health. Room for improvement includes dashboards and UI enhancements for better visualization and customizability, log streaming speed, advanced machine learning and reporting capabilities, pricing, and integration with non-AWS services and databases. Users also seek more real-time monitoring and comprehensive application performance features, and simpler alerts and configuration processes.
What are the most important features?
What benefits and ROI can users expect?
Amazon CloudWatch is implemented across a range of industries, including technology, finance, healthcare, and retail. Technology firms use it to monitor application performance and traffic, while financial organizations leverage it for ensuring compliance and system reliability. Healthcare entities rely on it for maintaining service availability and monitoring data flow, and retail companies utilize it for tracking customer interactions and optimizing server usage.
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.
We monitor all Cloud Monitoring Software 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.
