I am searching through the Splunk docs and doing an internet search trying to find the differences or capability overlaps between APPd and Splunk.
I found this link: https://signoz.io/blog/splunk-alternatives/#appdynamics
But if someone has done a study already and would share, thanks.
I have made my own up to this point, but I am not an expert with APPd , but have seen it working, so I might miss something. I am looking to word the matrix better too.
Thanks.
Mike
Why: If I use both, What do I not have to setup in Splunk that is done in APPD?
Example of my Matrix:
Capability | AppDynamics (when set up and working) | Splunk (comparable) |
Dashboards and topology | Auto-generated application flow maps; tier and BT views out of the box. | Flexible dashboards, service maps, and drill-downs across APM, infra, RUM, and logs. |
Alerting and anomaly detection | Health rules and dynamic baselines per tier/transaction with policy actions. | Adaptive thresholding, detectors, and predictive alerts across metrics, traces, and logs. |
They are different things. As simple as that.
Comparing "features" this way is like making a feature comparison between a roof of your house and a sofa. Sure, you can check whether you can sit on either of them, which one of them will shield you from the rain and which of them looks better in yellow.
And you will get some feature matrix. But they are essentially completely different things and such comparison will be simply useless.
If you don't understand what each of those does and how they differ call Splunk Sales team or your local Splunk Partner for a quick call, a demo or a trial run.
Hi @spamarea1
Heres my best stab at a comparison, does this help?
Capability | AppD | Splunk |
Dashboards & Topology | Auto-generated application flow maps; tier & BT views out of box | Flexible dashboarding based on metrics/logs sent to Splunk Enterprise/Cloud. Splunk Observability enabled service maps, drilldowns for APM, infra and RUM. |
Alerting & Anomaly Detection | Health rules, dynamic baselines (tiers/transactions), policy actions | Custom Alerting based on Logs/Metrics, utilise apps like ITSI for Adaptive thresholding; anomaly detector; alerting (metrics, traces [Splunk Observability], logs) |
Transaction Tracing / Distributed Tracing | End-to-end transaction tracing (agent-based, code-level deep) | Tracing via Splunk APM (Observability) if set up using OTel collector/within application. |
Log Aggregation & Analysis | AppD can correlate logs with performance data if configured | Splunk Enterprise/Cloud is a full-featured log management and search platform |
Infrastructure Monitoring | Host metrics, infra dashboards + correlation with APM | Infra monitoring apps/addons, custom dashboards, integrations (metrics, logs, traces [Splunk Observability]) |
End-User Monitoring (EUM/RUM) | Real-time browser/mobile monitoring; session reproduction | Splunk Synthetic Monitoring and RUM modules (within Splunk Observability) |
Business Analytics/Insights | AppD Business iQ: ties biz KPIs to app performance in real time | Splunk ITSI glass tables/ service tree and dashboarding, deep-dives and custom ad hoc analysis. |
🌟 Did this answer help you? If so, please consider:
Your feedback encourages the volunteers in this community to continue contributing