

OpenText AI Operations Management and Veeam Data Platform both compete in IT infrastructure management. OpenText is more focused on network monitoring and event correlation, while Veeam excels in data backup and replication, making it the leader for data protection tasks.
Features: OpenText AI Operations Management offers comprehensive event correlation and network monitoring, centralizing data sources to provide a holistic view and reduce event counts. Its automation capabilities merge monitoring teams into a single unit for cost optimization and scalability. Veeam Data Platform focuses on backup and replication, known for ease of use, reliable instant recovery, and smooth integration with various virtual environments.
Room for Improvement: OpenText AI Operations Management could enhance its user experience by simplifying implementation and improving scalability. It also requires fewer third-party tools for complete functionality. Veeam Data Platform users seek better pricing flexibility, improved support for physical servers, and enhanced cloud integration. Offering more intuitive reporting and licensing structures could improve satisfaction.
Ease of Deployment and Customer Service: OpenText AI Operations Management faces deployment challenges and mixed reviews on technical support, with inconsistencies ranging from excellent to inadequate. It's often used in on-premises or hybrid models. Veeam Data Platform users report smoother deployments and generally favorable customer support, though some note a decline in support quality over time and setup complexity.
Pricing and ROI: OpenText AI Operations Management is seen as more expensive, with complicated licensing impacting ROI. However, it delivers savings through automation efficiencies. Veeam Data Platform appeals to mid-sized enterprises with competitive pricing, flexible licensing, and is considered cost-effective compared to older solutions, resulting in solid ROI with minimal setup costs and reduced operational expenses.
OpenText goes out to bring the right people to answer any inquiries I have.
My team works with the customer success team for technical support and customer service for OpenText AI Operations Management.
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.
The stability and scalability depend on architectural considerations and the company's specific situation.
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.
We are following approximately 10,000 metrics and logs, and the platform performs pretty well.
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.
Normally, predictive features can be more useful, but this is an end-to-end solution that needs to be customized.
Splunk is more business-friendly due to its prettier interface.
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.
From a cost perspective, OpenText Operations Bridge is cost-effective as it saves us man hours.
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.
This integration ensures that when monitoring systems alert and subsequently resolve, tickets are automatically created and closed.
We have a platform where we are collecting metrics, logs, and traces for OpenText AI Operations Management, and if there is an anomaly, we directly open a ticket in our ITSM system.
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 (%) |
|---|---|
| Veeam Data Platform | 1.0% |
| OpenText AI Operations Management | 0.9% |
| Other | 98.1% |

| Company Size | Count |
|---|---|
| Small Business | 10 |
| Midsize Enterprise | 7 |
| Large Enterprise | 35 |
| Company Size | Count |
|---|---|
| Small Business | 217 |
| Midsize Enterprise | 99 |
| Large Enterprise | 139 |
OpenText AI Operations Management centralizes event correlation and monitoring across infrastructures, prioritizing scalability and automation for efficient alert management. It empowers organizations with transparency and insights essential for effective IT resource management in hybrid cloud environments.
OpenText AI Operations Management offers comprehensive solutions for event correlation, integration, and centralized alert management. With capabilities that streamline operations, this tool supports efficient IT management across AWS, GCP, and on-premises environments. Despite requiring improvements in performance and usability, its robust reporting and seamless monitoring provide valuable insights for root cause analysis. Users leverage this platform to integrate event data, automate incidents, and manage hybrid infrastructures effectively, making it a key component in enhancing service perspectives globally. Its heavy architecture and reliance on Java and Flash, coupled with complex licensing and pricing, necessitate attention to functionality and support areas.
What are the key features of OpenText AI Operations Management?OpenText AI Operations Management is widely implemented in industries requiring comprehensive monitoring capabilities. Organizations benefit from its ability to consolidate tools and manage events effectively across hybrid environments. The integration of incident automation and performance evaluation tools is particularly beneficial for those looking to enhance compliance support and reduce response times. Despite some challenges, the platform remains a valuable asset in managing complex IT environments and improving operational effectiveness.
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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