OpenText AI Operations Management and Splunk Observability Cloud are leading solutions in the IT operations management category. OpenText holds an advantage with its strong automation and event correlation capabilities, while Splunk excels in data visualization and ease of integration.
Features: OpenText AI Operations Management offers comprehensive event correlation, a single console for operational data management, and notable scalability for enterprise environments. Splunk Observability Cloud provides powerful data visualization and custom dashboard capabilities, offering unified log, metric, and trace visibility for real-time monitoring.
Room for Improvement: OpenText AI Operations Management needs a more intuitive setup, improved scalability, and better integration with non-HPE products. Splunk Observability Cloud is challenged by high costs, complex configuration, and desires improvement in log analysis and user-friendly automation features.
Ease of Deployment and Customer Service: OpenText AI Operations Management primarily offers an on-premises deployment model with hybrid capabilities, where implementation can be cumbersome without experienced partners. Its technical support is slow, although improvements exist with dedicated support options. Splunk Observability Cloud supports flexible on-premises and cloud deployments, but recent issues with outsourced support have been noted.
Pricing and ROI: OpenText AI Operations Management is considered expensive due to its complex licensing but offers ROI through automation features that save time and reduce manual intervention. Splunk Observability Cloud, also high in price, justifies its cost with powerful capabilities, offering value through a predictable cost structure during peak data demands.
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.
OpenText goes out to bring the right people to answer any inquiries I have.
They often require multiple questions, with five or six emails to get a response.
Support from Splunk is not very helpful because Splunk doesn't have a dedicated APM; they only have one APM engineer in Korea.
They did respond to us, but they did not explicitly inform us about the feature's absence.
We've used the solution across more than 250 people, including engineers.
I would rate its scalability a nine out of ten.
The issue is mainly about pricing because if they want to monitor more, it costs money.
I would rate its stability a nine out of ten.
We rarely have problems accessing the dashboard or the page.
Unlike NetScout or regular agents for APM, RUM has many problems during the POC phase because customer environments vary widely.
Splunk is more business-friendly due to its prettier interface.
There is room for improvement in the alerting system, which is complicated and has less documentation available.
Improvements in dashboard configuration, customization, and artificial intelligence functionalities are desired.
Customers sometimes need to create specific dashboards, particularly for applicative metrics such as Java and process terms.
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 appears to be expensive compared to competitors.
Splunk is a little expensive, however, it is in line with the current market pricing.
This integration ensures that when monitoring systems alert and subsequently resolve, tickets are automatically created and closed.
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.
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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