Datadog vs. IBM Z IntelliMagic Vision

Datadog may be better suited for teams that have a more out-of-the-box infrastructure, on the primary platforms Datadog supports. You may also have better results if you have a bigger team dedicated to devops and/or a bigger budget. We found that trying to adapt it to our use case (small team, .NET on AWS Fargate) wasn't feasible. We continually ran into roadblocks that required us to dig through documentation (and at times, having to figure out some documentation was wrong), go back and forth with support, and in my opinion, waste money on excessive and unintended usages due to opaque pricing models and inaccurate usage reports, as well as broken/non-functional rate sampling controls.

Incentivized

IntelliMagic Vision for z/OS is perfect for just about any after-the-fact analysis that I have tried to use it for. Sometimes it doesn't provide support for the latest SMF fields, but that is the nature of SMF data analysis - it is impossible to keep up with the rate at which new SMF fields are added. Combine that with the fact that the description of new fields is often poor, and it is amazing that IntelliMagic Vision for z/OS is as up-to-date as it is. I think that less experienced users might benefit from material that more clearly differentiates products like IntelliMagic Vision for z/OS, which feed off SMF data, and products like Omegamon, which report in real-time contents of various system control blocks.

• The thing which Datadog does really well, one of them are its broad range of services integrations and features which makes it one step observability solution for all. We can monitor all types of our application, infrastructure, hosts, databases etc with Datadog.
• Its custom dashboard feature which helps us to visualize the data in a better way . It supports different types of charts through those charts we can create our dashboard more attractive.
• Its AI powered alerting capability though that we can easily identify the root cause and also it has a low noise alerting capability which means it correlated the similar type of issues.

Incentivized

• IntelliMagic Vision for z/OS is easy to use for beginners and experts.
• Search and drill down helps to find overview and deep dive.
• IntelliMagic has implemented expert knowledge into Vision and the rating of the report is really helpful.
• Predefined reports can be modified very easily and individually adapted reports (replacement of old SAS programs) are also possible without any problems

• Alert windows cause lag in notifications (e.g. if the alert window is X errors in 1 hour, we won't get alerted until the end of the 1 hour range)
• I would appreciate more supportive examples for how to filter and view metrics in the explorer
• I would like a more clear interface for metrics that are missing in a time frame, rather than only showing tags/etc. for metrics that were collected within the currently viewed time frame

Incentivized

• The voluminous data is a challenge for all tools. As always, improved response time is always appreciated.
• I really appreciate reading the descriptions and field descriptions that are provided with the screens. All additional elaborations will be appreciated.
• Monthly trending and cyclical pattern detection

Definitely will not revisit after our issues and, in my opinion, poor support.

Incentivized

In comparison to other products (even on IBM Z), IntelliMagic Vision for z/OS is really RAS (reliability, availability, and serviceability). The GUI is really stable; analyze/reduce jobs with detailed diagnostics; restart functions with Automator

There are so many features that it can be hard to figure out where you need to go for your own use case. For example, RUM monitoring us buried in a "Digital Experience" sidebar setting when this is one of our key use cases that I sometimes struggle to find in the application. It appears that ECS + Fargate monitoring was recently released which is great because we had to build a lambda reporting solution for ephemeral task monitoring. But this new feature was never on my radar until I starting clicking around the application.

Incentivized

with more than 12 years of experience in Mainframe performance tuning and analysis, it was much easier to translate and understand the tool. New college grads without Mainframe exposure struggled a bit to connect the dots, it might be good to have a recording from IM to go through mainframe basics before the staff start to use the tool covering mainframe concepts than tool itself.

Incentivized

The support team usually gets it right. We did have a rather complicate issue setting up monitoring on a domain controller. However, they are usually responsive and helpful over chat. The downside would be I don’t think they have any phone support. If that is important to you this might not be a good fit.

Incentivized

Really highly skilled IntelliMagic team:

• Head of IntelliMagic (Gilbert Houtekamer, Els Das and Jean-Marc van der Kolk)
• Account manager DACH/Europe local support team ...

Documentation was difficult to work through, rollout was catastrophic (completely outage)

Incentivized

Our logs are very important, and Datadog manages them exceptionally well. We frequently use Datadog services for our investigations. Use case: Monitor your apps, infrastructure, APIs, and user experience.


Key features:


Logs, metrics, and APM (Application Performance Monitoring)


Real-time alerting and dashboards


Supports Kubernetes, AWS, GCP, and other integrations


RUM (Real User Monitoring) and Synthetics





✅ Best for backend, server, and distributed systems monitoring.

Incentivized

These are the legacy products that have been used for capacity/performance/billing and report generation over many years. Some are better suited for solutions using programmatic interfaces ( internal billing ), and processing IMS transactional data in particular. For most tasks, however, Vision can generate charts, provide levels of drill-down, allow a focus on analysis rather than report generation, much faster with greater reliability and less required training than the above products

Incentivized

• Saved us (time & money) from developing our own monitoring utilities that would pale in comparison
• Alerts allow us to remedy issues before our customers even know about them
• Tracking resource usage over time allows us to better plan for future needs, before it becomes a pain-point.

Incentivized

• Based on data from Vision, we have not had to expand the hardware this year.
• Any expansion of hardware in the coming years can be well supported by figures from Vision.