New Relic vs Parca
Overview
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Detailed Comparison
The world’s best software and DevOps teams rely on New Relic to move faster, make better decisions and create best-in-class digital experiences. If you run software, you need to run New Relic. More than 50% of the Fortune 100 do too. | It is a continuous profiling project. Continuous profiling is the act of taking profiles (such as CPU, Memory, I/O and more) of programs in a systematic way. It collects, stores and makes profiles available to be queried over time. |
Performance Data Retention;Real-User Response Time, Throughput, & Breakdown by Layer;App Response Time, Throughput, & Breakdown by Component;App Availability Monitoring, Alerting, and Notification;Automatic Application Topology Mapping;Server Resource and Availability Monitoring;Error Detection, Alerting, & Analysis;JVM Performance Analyzer;Database Call Response Time & Throughput;Performance Data API Access;Code Level Diagnostics, Transaction Tracing, & Stack Trace Details;Slow SQL and SQL Performance Details;Real-User Breakdown by Web Page, Browser, & Geography;Track Individual Key Transactions;Mobile Features- Alerting, Summary Data, Overview Page, Topo Map, HTTP Requests, HTTP Error Summary, HTTP Error Detail, Versions, Carriers, Devices, Geo Map | A multi-dimensional data model with series of profiles identified by the profile type and key/value pairs;
A label-selector based query language;
Query engine specifically designed for profiling data;
Optimized, built-in storage;
Support for pushing and pulling profiles from targets;
Targets are discovered via service discovery or static configuration;
Super low overhead profiler, powered by eBPF |
Statistics | |
GitHub Stars - | GitHub Stars 4.6K |
GitHub Forks - | GitHub Forks 242 |
Stacks 22.7K | Stacks 3 |
Followers 8.7K | Followers 5 |
Votes 1.9K | Votes 0 |
Pros & Cons | |
Pros
Cons
| No community feedback yet |
Integrations | |
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