Moesif vs APM
Application Performance Monitoring (APM) tools like New Relic, Datadog, and Lightstep are great for root causing errors within your infrastructure and service mesh. In fact, we use New Relic and Azure Monitor ourselves. However, they are not designed to understand user behaviors down to the individual customer level and analyzing experiences across customers.
Customer-centric API analytics tools like Moesif empower your engineering and support teams with a full view of how customers are actually experiencing your service and where it falls short. Checkout our technical guide time-based vs user-centric architecture and data store.
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| Moesif API Analytics | Application Performance Monitoring | |
|---|---|---|
| Category | User Behavioral Analytics/Customer-centric | Infrastructure Metrics/Time-based |
| Primary use case | ||
| Full view of how individual users experience your API | ||
| Find issues impacting customer experience | ||
| Track API adoption and user behavior | ||
| Full view of individual servers/VMs | ||
| Find bugs deep in service mesh | ||
| Track stack traces and exceptions | ||
| Analytics Features | ||
| Automatic Analysis of REST and GraphQL Endpoints | ||
| URL Query and Body Parameter Usage | ||
| Track Feature Adoption via Funnels | ||
| Measure Product Retention and Stickiness | ||
| Understand long-term trends | ||
| Drill into User & Company Profiles | ||
| Custom metrics like latency percentiles, TTFHW, etc | ||
| User Suppression and Deletion for GDPR | ||
| Customer Health and Experience Monitoring | ||
| HTTP Waterfalls and Heatmaps | ||
| Real-time API Logs | ||
| Custom Real-time Dashboards | ||
| API Real User Monitoring (API RUM) | ||
| Endpoint Utilization and Deprecation Analysis | ||
| Implementation | ||
| Events with High-cardinality Fields | ||
| Pre-aggregated Time Series with Few Dimensions | ||
| Sync with CRM, BI, marketing automation & more | ||
| Configurable Per-customer Sampling | ||
| Polygot GraphQL & REST API Support | ||
| Monolithic Web App Support |
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Ready to add Moesif to your analytics stack?