eG Enterprise vs. Splunk Application Performance Monitoring (APM)

Product is excellent for Technologies monitoring
like Citrix, SAP, VMware, Oracle, Nutanix and 0365.

Incentivized

Good for below cases 1. There is a front end and need to correlate data with front end data 2. multiple microservices and need to check the health of each system 3. correlate data from various sources 4. Application performance is a key to be captured 5. application performance is a key metric.

Incentivized

• Provides extensive visibility beyond the performance of apps and the entire infrastructure.
• The excellent diagnostic capacities allow us to drill down issues and find their root cause.
• Good APM capabilities.

Incentivized

• Detect and Troubleshoot, which allows team to eliminate errors.
• Dashboard creates a one stop location for environment health
• Provides visibility, access to logs and user data real time.

Incentivized

• eG Enterprise supports only traditional Deployment Architecture on Desktop, Windows server and Linux server
• Could be Improve in Integration like accepting data from different monitoring tools and perform the data analytics like deduplication correlation etc…
• I am sure the product is excellent for Technologies monitoring like Citrix, SAP, VMware, Oracle, Nutanix and 0365, Competitive licensing can defiantly give edge

Incentivized

• I wish Splunk Application Performance Monitoring could integrate with packet capture and analysis tools and provide the integrated analysis results on each tier of the application

Incentivized

Splunk is a great tool for log mining. It is less time-consuming and easy to use. It provides high security, it has customisable dashboards. Furthermore, it acts as a search head, and it gives real-time status. It has the ability to collect data from any source and multiple sources, and it can correlate them.

Incentivized

Its Lacking Synthetic monitoring of VDI user
transactions and also doesn’t comprehensively monitor the technologies like SharePoint, SAP, Exchange etc...

Incentivized

It is good that the correlation analysis and the cause of the failure can be analyzed more extensively through the collection of many data. It is good because it provides a user interface (usability) well and can be used conveniently.
It is good because it can utilize anomaly detection through various AI-based ML models.

Incentivized

• Rapid and smooth trouble shooting for continued workflow.
• The single pane of glass allows easy identification of problems across the entire framework.

Incentivized

• It gave us more quicker alerts in a organize way to distribute to specific audience.
• Helped us to improve our uptime by getting pro-active alerts via emails
• More collaboration in a DevOps culture

Incentivized