Quest Foglight for Virtualization and Veeam Data Platform are leading solutions for virtualization and data management. Veeam Data Platform seems to have the upper hand due to its feature set, despite Quest Foglight for Virtualization being preferred for pricing and support.
Features: Quest Foglight for Virtualization users highlight its powerful monitoring and optimization capabilities, especially in reducing resource consumption. It also provides in-depth performance analysis and proactive issue resolution. Veeam Data Platform users value its comprehensive backup and recovery features, strong data protection, high reliability, and advanced recovery options.
Room for Improvement: Quest Foglight for Virtualization users suggest improving its reporting functionalities, integration capabilities, and user interface for better ease of use. Veeam Data Platform users note that the product could benefit from enhanced scalability options, a more intuitive setup process, and more flexible pricing plans.
Ease of Deployment and Customer Service: Quest Foglight for Virtualization is praised for its straightforward deployment, though some users mention the need for better documentation. Customer service receives positive marks. Veeam Data Platform users find the deployment to be more complex but commend the product's customer support for its responsiveness and effectiveness.
Pricing and ROI: Quest Foglight for Virtualization is viewed as cost-effective, with users noting a quick return on investment due to its efficient resource management. Veeam Data Platform, while perceived as more expensive, is justified by its comprehensive feature set. Users acknowledge a strong return on investment through improved data security and reliability.
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.
In order to scale Veeam Data Platform, we have to pay a lot more money.
From what I know, it is expensive to add modules, with a scale rating of eight out of ten.
Veeam Data Platform is valuable for its stability and the ability to easily contact support for assistance.
IBM Turbonomic is a performance and cost optimization platform for public, private, and hybrid clouds used by companies to assure application performance while eliminating inefficiencies by dynamically resourcing applications through automated actions.
IBM Turbonomic leverages AI to continuously analyze application resource consumption, deliver insights and dashboards, and make real-time adjustments. Common use cases include cloud cost optimization, cloud migration planning, data center modernization, FinOps acceleration, Kubernetes optimization, sustainable IT, and application resource management. By integrating with various cloud platforms, on-premise infrastructures, and containers, IBM Turbonomic provides a holistic view of the environment, ensuring that resources are allocated efficiently.
The solution is designed to support complex IT environments, offering actionable insights and automated actions that help IT teams proactively manage application performance and infrastructure resources. Turbonomic customers report an average 33% reduction in cloud and infrastructure waste without impacting application performance, and return-on-investment of 471% over three years.
IBM Turbonomic manages resources across hybrid and on-premises data centers to ensure efficiency and financial impact awareness. It automates resource allocation, balances memory dynamically, and provides robust performance metrics. Users benefit from its ability to prevent resource starvation and offer cost-saving recommendations through continuous management. Executive Dashboards provide insights for cost justification and resource management, making IT operations simpler with AI-driven automation and actionable recommendations.
What are the most important features of IBM Turbonomic?
What benefits should users look for in IBM Turbonomic reviews?
IBM Turbonomic is implemented across multiple industries, including finance for optimizing peak payroll processing, IT for enhanced virtual server management, and healthcare for reliable performance monitoring. Organizations benefit from its robust automation, ensuring maximum efficiency and cost savings.
Veeam Data Platform backs up and replicates virtual machines, protects server farms, provides database backup, and delivers disaster recovery solutions. Users utilize it for protecting Office 365 data, ensuring business continuity, monitoring environments, migrating snapshots, and securing data in offsite locations or the cloud.
Veeam Data Platform is recognized for its ease of setup, reliability, and ability to handle diverse IT infrastructures. It is popular among users for its data replication efficiency, fast virtual machine restoration, and robust reporting. With strong integration with cloud platforms like AWS, Azure, and Google Cloud, it ensures scalability and adaptability across environments. The platform supports incremental backups, a comprehensive dashboard for monitoring and reporting, and a smooth recovery process. New features such as malware detection and an immutable Linux repository enhance its security offerings. However, there's room for improvement in full cloud integration, user interface, and support for more storage systems, as well as better documentation, additional automation, detailed reporting, and enhanced technical support. Users also ask for improved data recovery features, reduced pricing, and greater compatibility with non-Windows systems, Oracle, and SAP systems.
What are the most valued features?In industries such as finance, healthcare, and education, Veeam Data Platform provides critical data backup and disaster recovery solutions. Organizations in these sectors use Veeam for protecting sensitive data, ensuring compliance, and maintaining business continuity. By leveraging Veeam's robust features and integrations, companies can safeguard their IT infrastructures against data loss and cyber threats.
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