Splunk On-Call vs. Motadata ObserveOps
A side-by-side comparison based on G2 review data.
| Metric | Splunk On-Call | Motadata ObserveOps |
|---|---|---|
| Overall rating | 4.5 | 4.6 |
| Review count | 52 | 35 |
| Ease of use | 8.8 | 9.3 |
| Ease of setup | 9.1 | 9.5 |
| Quality of support | 9.2 | 9.5 |
| Meets requirements | 9.0 | 9.4 |
| NPS | 67.307692 | 82.352941 |
| Small Business | 19.2% | 31.4% |
| Mid-Market | 46.2% | 51.4% |
| Enterprise | 34.6% | 17.1% |
| Total page views | 223 | 553 |
| Total LLM citations | 1,252 | 302 |
Splunk On-Call
Splunk On-Call makes on-call management less frustrating while reducing mean time to acknowledge and resolve incidents. Splunk On-Call empowers DevOps teams by delivering alerts to the right people so they can collaborate and solve problems. Teams receive context-rich notifications and collaborate cross-functionally to empower fast, efficient incident resolution with reduced downtime. Stakeholders can gain visibility to critical incidents and steps taken to resolve them.
- Alerting System
- Alert Management
- Incident Management
- Flexibility
- Customization
- Integrations
Motadata ObserveOps
Motadata ObserveOps (formerly known as AIOps) is a full-stack observability platform that gives IT and operations teams complete visibility across their infrastructure, networks, and applications. It unifies metrics, logs, and traces in one place, replacing scattered point tools with a single source of truth for the health of the environment. Built on DFIT (Deep Learning Framework for IT Operations), ObserveOps applies AI and machine learning to correlate signals, detect anomalies, and identify the root cause of incidents faster.
- Ease of Use
- Dashboard Features
- Dashboards
- Detailed Analysis
- User Interface
- Analytics