InterSystems Ensemble vs. Splunk Application Performance Monitoring (APM)

• Best suited for fast development with a fundamental emphasis on object orientation
• Prohibitive costs for very small integration projects

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

• Easy to use: The simplicity of its programming language allows fast learning. Visual environment to generate complex code.
• Robust: A fall of the system will not be a problem. Never again will information of the transactions in progress be lost. Never more messages lost.
• Connect to the world: The most popular connection is possible to implement quickly. FTP, File folder, TCP, SMPT, REST.... all method are ready to use. Only define "where" and "how"

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

• Given that Ensemble and Cache are one of if not the only true fully object orientated database/development technologies for massive transactional data systems its customizability is extensive and it just comes down to the creativity of the developer to get the products to pretty much do whatever they want to do with it. However, this is not necessarily obvious to newcomers to the technology.
• The developer community could do with greater participation from the software developers/application specialists and engineers within InterSystems.
• More extensive documentation and greater access to proven working solutions particularly in the realm of some of the lesser known or new and upcoming technologies.

• 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

I have yet to raise an issue with InterSystems WRC that they have been unable to resolve to my satisfaction in the 20+ years that I have worked with their products.

Mirth is another integration platform that we have used but its development, in Java, made us always create new methods every time a new product was integrated. Every connection process had to be developed from the beginning and it was not easy to reuse code. Nor did it allow us to have an extensive catalog of HL7 messaging, having to perform the validation of each and every one of its fields manually.

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

• We have integrated 5 laboratories in a treatment monitoring system in less than a month of development. Being able to integrate the following in a period no longer than a week.

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