

OpenText AI Operations Management and Splunk Observability Cloud compete in the IT operations management sector, with Splunk holding an advantage in real-time metrics and seamless integration, while OpenText focuses on centralized monitoring and automation.
Features: OpenText AI Operations Management stands out with its flexible configuration options, comprehensive system and application correlation, and centralized event management capabilities. These features make it suitable for large-scale operations, giving users a single source of truth for IT infrastructures. Splunk Observability Cloud is highlighted for its application performance monitoring, scalability, and robust, customizable dashboards that enhance the monitoring process.
Room for Improvement: OpenText AI Operations Management struggles with a complex setup process, scalability challenges, and an outdated interface. These factors can hinder user adoption. On the other hand, Splunk Observability Cloud could improve its pricing transparency and third-party integrations, and enhance its log management and alerting systems for better user experience.
Ease of Deployment and Customer Service: OpenText AI Operations Management generally demands a more complex on-premises deployment with multiple components, and its customer service varies, especially during urgent situations. In contrast, Splunk Observability Cloud offers flexible deployment options, including public and hybrid cloud, to align with contemporary cloud strategies. Its customer service also receives mixed feedback, mainly on support responsiveness and technical know-how.
Pricing and ROI: OpenText AI Operations Management has a modular cost structure but is often seen as costly for smaller enterprises despite its automation benefits showing clear ROI in operational efficiencies. Splunk Observability Cloud, while facing criticism for its high cost compared to competitors, also demonstrates considerable ROI potential by supporting enterprise-level operations through reduced manual intervention and increased efficiency.
Using Splunk has saved my organization about 30% of our budget compared to using multiple different monitoring products.
Anyone working in front-end management should recognize the market price to see the true value of end-user monitoring.
I have definitely seen a return on investment with Splunk Observability Cloud, particularly through how fast it has grown and how comfortable other teams are in relying on its outputs for monitoring and observability.
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.
On a scale of 1 to 10, the customer service and technical support deserve a 10.
They have consistently helped us resolve any issues we've encountered.
They often require multiple questions, with five or six emails to get a response.
The stability and scalability depend on architectural considerations and the company's specific situation.
We've used the solution across more than 250 people, including engineers.
As we are a growing company transitioning all our applications to the cloud, and with the increasing number of cloud-native applications, Splunk Observability Cloud will help us achieve digital resiliency and reduce our mean time to resolution.
I would rate its scalability a nine out of ten.
We are following approximately 10,000 metrics and logs, and the platform performs pretty well.
When downtime occurs, it raises concerns about how we measure and receive alerts, as everything needs to be in place.
I would rate its stability a nine out of ten.
We rarely have problems accessing the dashboard or the page.
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 out-of-the-box customizable dashboards in Splunk Observability Cloud are very effective in showcasing IT performance to business leaders.
The next release of Splunk Observability Cloud should include a feature that makes it so that when looking at charts and dashboards, and also looking at one environment regardless of the product feature that you're in, APM, infrastructure, RUM, the environment that is chosen in the first location when you sign into Splunk Observability Cloud needs to stay persistent all the way through.
There should be a solution to update OTeL agents from Splunk Observability Cloud itself.
From a cost perspective, OpenText Operations Bridge is cost-effective as it saves us man hours.
Splunk is a bit expensive since it charges based on the indexing rate of data.
It is expensive, especially when there are other vendors that offer something similar for much cheaper.
I can confidently say our availability improved by forty percent, and downtime was reduced by approximately seventy to eighty percent.
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.
Splunk provides advanced notifications of roadblocks in the application, which helps us to improve and avoid impacts during high-volume days.
For troubleshooting, we can detect problems in seconds, which is particularly helpful for digital teams.
It offers unified visibility for logs, metrics, and traces.
| Product | Mindshare (%) |
|---|---|
| Splunk Observability Cloud | 2.5% |
| OpenText AI Operations Management | 1.0% |
| Other | 96.5% |

| Company Size | Count |
|---|---|
| Small Business | 10 |
| Midsize Enterprise | 7 |
| Large Enterprise | 35 |
| Company Size | Count |
|---|---|
| Small Business | 24 |
| Midsize Enterprise | 10 |
| Large Enterprise | 53 |
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.
Splunk Observability Cloud offers sophisticated log searching, data integration, and customizable dashboards. With rapid deployment and ease of use, this cloud service enhances monitoring capabilities across IT infrastructures for comprehensive end-to-end visibility.
Focused on enhancing performance management and security, Splunk Observability Cloud supports environments through its data visualization and analysis tools. Users appreciate its robust application performance monitoring and troubleshooting insights. However, improvements in integrations, interface customization, scalability, and automation are needed. Users find value in its capabilities for infrastructure and network monitoring, as well as log analytics, albeit cost considerations and better documentation are desired. Enhancements in real-time monitoring and network protection are also noted as areas for development.
What are the key features?In industries, Splunk Observability Cloud is implemented for security management by analyzing logs from detection systems, offering real-time alerts and troubleshooting for cloud-native applications. It is leveraged for machine data analysis, improving infrastructure visibility and supporting network and application performance management efforts.
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