ManageEngine OpManager and Splunk Observability Cloud compete in the IT management solutions category. Based on feature sets, Splunk Observability Cloud seems to have the upper hand due to its extensive log searching and application performance monitoring capabilities.
Features: ManageEngine OpManager focuses on network and device monitoring, automation, and reporting. It provides comprehensive insights into server statuses, network port monitoring, and allows users to define thresholds and automate responses. Its integration tools enhance a user-friendly experience. Splunk Observability Cloud stands out for detailed log searching, application performance monitoring, and data integration. The dashboards provide holistic data views, crucial for cloud-native applications and microservices monitoring.
Room for Improvement: ManageEngine OpManager can improve its documentation, artificial intelligence features, and dashboard customization. There's also a need for improved user role flexibility. Splunk Observability Cloud faces challenges in affordability and ease of configuration. Users express a need for better support for on-premises versions and improved customer interfaces.
Ease of Deployment and Customer Service: ManageEngine OpManager is mainly deployed on-premises, with hybrid options, and is supported by responsive customer service. Users appreciate local vendor interactions. Splunk Observability Cloud offers broader deployment in public and hybrid cloud environments, needing improvement in response times and cloud integration. Both provide satisfactory customer service, with room for advancement in documentation and setup assistance.
Pricing and ROI: ManageEngine OpManager is known for competitive pricing and flexibility based on nodes and applications, yielding a positive ROI with reduced overhead. Splunk Observability Cloud is pricier due to its extensive features and logging capabilities. While seen as more expensive, its ability to provide critical insights and maintain uptime justifies the cost. Both products offer significant financial returns through distinct pricing strategies.
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 would recommend a rating of ten out of ten for support.
More support is needed, especially on weekends.
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.
Scalability is needed more in automation and AI functionalities.
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.
If identifying the interface was easier, it would take less time to configure.
There is a call for ManageEngine OpManager to scale better in automation and AI functionality.
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.
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.
The automated reporting back, which includes identifying the top list and trends, as well as session monitoring from the end user to server through routers and firewalls, provides exact issue notifications for network problems.
Managing platforms and network device virtualization on one platform is beneficial.
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.
ManageEngine OpManager is a network, server, and virtualization monitoring software that helps SMEs, large enterprises and service providers manage their data centers and IT infrastructure efficiently and cost effectively. Automated workflows, intelligent alerting engines, configurable discovery rules, and extendable templates enable IT teams to setup a 24x7 monitoring system within hours of installation.
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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