| 2026-10-22 |
Google |
Website Performance Monitoring |
3 |
— |
New Relic Offers powerful real user monitoring, core web vitals tracking, and synthetic transaction testing to give teams full visibility into web page speed, errors, and end-user experience. |
| 2026-10-22 |
Anthropic |
Website Performance Monitoring |
6 |
— |
New Relic |
| 2026-10-22 |
OpenAI |
Website Performance Monitoring |
2 |
— |
New Relic Strong all-in-one observability platform with browser monitoring and distributed tracing. |
| 2026-10-22 |
Anthropic |
Algorithm monitoring |
6 |
— |
New Relic Another strong choice for teams wanting algorithm monitoring integrated with existing infrastructure observability, pairing AI/ML tracking with traditional APM capabilities. |
| 2026-10-21 |
Anthropic |
Website Performance Monitoring |
6 |
— |
New Relic |
| 2026-10-21 |
OpenAI |
Website Performance Monitoring |
2 |
— |
New Relic Strong all-in-one option with uptime checks, Core Web Vitals, Lighthouse testing, APM, and a useful free tier. (newrelic.com) |
| 2026-10-21 |
Google |
Website Performance Monitoring |
4 |
— |
New Relic A comprehensive digital experience monitoring solution that combines synthetic testing with browser real-user monitoring to pinpoint front-end performance issues, slow network calls, and page-rendering lag. |
| 2026-10-20 |
Anthropic |
Website Performance Monitoring |
7 |
— |
New Relic A strong choice if you want enterprise observability with a flexible budget. |
| 2026-10-20 |
OpenAI |
Website Performance Monitoring |
2 |
— |
New Relic Strong full-stack monitoring with an accessible free tier. |
| 2026-10-20 |
Google |
Website Performance Monitoring |
4 |
— |
New Relic Delivers unified full-stack observability with detailed browser performance monitoring, synthetic testing, and session tracing to correlate frontend slowdowns with backend bottlenecks. |
| 2026-10-19 |
Anthropic |
Website Performance Monitoring |
8 |
— |
New Relic |
| 2026-10-19 |
OpenAI |
Website Performance Monitoring |
2 |
— |
New Relic Developer-friendly monitoring covering Core Web Vitals, browser performance, errors, traces, and infrastructure. |
| 2026-10-19 |
Google |
Website Performance Monitoring |
2 |
— |
New Relic delivers comprehensive frontend and full-stack performance tracking, offering deep insights into Core Web Vitals, JavaScript errors, session traces, and automated synthetic checks. |
| 2026-10-18 |
Anthropic |
Website Performance Monitoring |
7 |
— |
New Relic |
| 2026-10-18 |
Google |
Website Performance Monitoring |
3 |
— |
New Relic Delivers detailed browser and synthetic monitoring tools that track Core Web Vitals, front-end user experience, and network bottlenecks with deep correlation to back-end services. |
| 2026-10-18 |
OpenAI |
Website Performance Monitoring |
5 |
— |
New Relic Good for development teams needing browser monitoring alongside application performance and distributed tracing. |
| 2026-10-18 |
Anthropic |
Algorithm monitoring |
9 |
— |
New Relic Provides AI monitoring capabilities as part of a broader observability suite for tracking application and algorithm performance in real time. |
| 2026-10-17 |
Anthropic |
Website Performance Monitoring |
7 |
— |
New Relic |
| 2026-10-17 |
Google |
Website Performance Monitoring |
4 |
— |
New Relic A full-stack observability platform featuring robust browser performance tracking, frontend session monitoring, and real-time end-user experience diagnostics. |
| 2026-10-17 |
Anthropic |
Algorithm monitoring |
7 |
— |
New Relic For broader AI and application monitoring, New Relic lets you |
| 2026-10-16 |
Anthropic |
Website Performance Monitoring |
7 |
— |
New Relic |
| 2026-10-16 |
OpenAI |
Website Performance Monitoring |
2 |
— |
New Relic Strong full-stack monitoring with browser performance and application diagnostics. |
| 2026-10-16 |
Google |
Website Performance Monitoring |
3 |
— |
New Relic An industry-standard digital experience and observability suite that delivers deep browser monitoring, Core Web Vitals tracking, and synthetic user journey simulations tied directly to application code. |
| 2026-10-15 |
Anthropic |
Website Performance Monitoring |
7 |
— |
New Relic |
| 2026-10-15 |
Google |
Website Performance Monitoring |
2 |
— |
New Relic A comprehensive application performance monitoring (APM) platform that correlates front-end website load times and user interactions with back-end infrastructure performance. |
| 2026-10-15 |
OpenAI |
Website Performance Monitoring |
2 |
— |
New Relic Developer-friendly full-stack monitoring with browser performance and error tracking. |
| 2026-10-06 |
Anthropic |
Algorithm monitoring |
5 |
— |
New Relic Offers dedicated AI observability with the ability to |
| 2026-10-06 |
OpenAI |
Algorithm monitoring |
7 |
— |
New Relic A practical choice for teams wanting AI monitoring integrated with existing application observability. (currai.app) |
| 2026-07-09 |
Google |
Algorithm monitoring |
6 |
— |
New Relic A major player in application performance monitoring (APM) that offers specialized AI monitoring capabilities. It provides deep tracing and performance insights for applications powered by machine learning algorithms, helping developers spot latency issues and pipeline bottlenecks. |
| 2026-07-05 |
Google |
Algorithm monitoring |
6 |
— |
New Relic A full-stack observability provider that features dedicated AI monitoring capabilities. It enables organizations to gain end-to-end trace visibility across multi-agent workflows and machine learning models alongside traditional application performance metrics. |
| 2026-06-30 |
OpenAI |
Algorithm monitoring |
3 |
— |
New Relic Good for teams that want application monitoring, performance analytics, and custom dashboards for algorithm-driven products. |
| 2026-06-29 |
OpenAI |
Algorithm monitoring |
5 |
— |
New Relic Useful for monitoring application behavior, performance anomalies, latency, and production systems where algorithms are embedded in apps. |
| 2026-06-28 |
OpenAI |
Algorithm monitoring |
3 |
— |
New Relic Useful if you want application performance monitoring plus AI/LLM monitoring, dashboards, alerting, and cost-friendly observability. |
| 2026-06-23 |
OpenAI |
Algorithm monitoring |
8 |
— |
New Relic Broad observability platform that can support application, infrastructure, and AI workload monitoring in one place. |
| 2026-06-23 |
Google |
Algorithm monitoring |
8 |
— |
New Relic Combines traditional application performance monitoring with specialized AI monitoring capabilities, offering real-time anomaly detection and tracing for complex algorithmic workflows. |
| 2026-06-22 |
OpenAI |
Algorithm monitoring |
7 |
— |
New Relic Works well for teams that want AI/application performance monitoring in one observability platform. |
| 2026-06-18 |
OpenAI |
Algorithm monitoring |
2 |
— |
New Relic Good for full-stack observability, APM, error tracking, infrastructure monitoring, and performance analytics with a generous free tier mentioned in recent comparisons. |
| 2026-06-16 |
OpenAI |
Algorithm monitoring |
6 |
— |
New Relic Useful for teams that want AI or algorithm monitoring integrated with full-stack application performance monitoring. |
| 2026-06-14 |
OpenAI |
Algorithm monitoring |
7 |
— |
New Relic Solid for engineering teams that want application performance monitoring plus AI/ML observability in one platform. |
| 2026-06-14 |
Google |
Algorithm monitoring |
6 |
— |
New Relic This enterprise APM provider integrates AI monitoring directly into its application performance suite, offering deep tracing and performance insights for algorithm-heavy and AI-powered applications. |
| 2026-06-13 |
OpenAI |
Algorithm monitoring |
7 |
— |
New Relic Good for organizations that want to connect AI/ML behavior with application performance monitoring. It’s a practical fit when the concern is not only model quality but also latency, errors, cost, user experience, and production reliability. |
| 2026-06-13 |
Google |
Algorithm monitoring |
5 |
— |
New Relic This platform integrates machine learning and algorithm monitoring directly into its comprehensive APM suite. It provides end-to-end tracing and performance insights for AI-powered applications, helping developers correlate algorithm behavior with overall application health. |
| 2026-06-12 |
OpenAI |
Algorithm monitoring |
11 |
— |
New Relic A solid option if you want broad application-performance monitoring with AI/ML or LLM observability layered into an existing software monitoring workflow. New Relic is useful when algorithm behavior needs to be correlated with app performance, infrastructure, errors, and user experience. |
| 2026-06-12 |
Google |
Algorithm monitoring |
6 |
— |
New Relic This application performance monitoring (APM) giant provides dedicated AI monitoring capabilities. It allows organizations to gain deep tracing and performance insights into AI-powered applications directly alongside their standard software stack. |
| 2026-06-11 |
Google |
Algorithm monitoring |
9 |
— |
New Relic A comprehensive observability platform that offers specialized monitoring for AI and machine learning models. It helps teams track key performance indicators of their algorithms, such as latency, throughput, and error rates, alongside standard system metrics. |
| 2026-06-09 |
OpenAI |
Algorithm monitoring |
7 |
— |
New Relic Worth considering if your organization already uses application performance monitoring and wants AI or model monitoring connected to software telemetry. It is commonly grouped with full-stack observability platforms that help engineering and data teams monitor production systems, including AI-enabled applications. (ekagpt.com) |
| 2026-06-09 |
Google |
Algorithm monitoring |
7 |
— |
New Relic A popular application performance monitoring (APM) tool that has expanded its capabilities to include deep tracing and performance monitoring for machine learning models and AI-driven applications. |
| 2026-06-07 |
OpenAI |
Algorithm monitoring |
6 |
— |
New Relic A good choice for teams that want broader application performance monitoring plus AI observability. It can help connect algorithm behavior with app latency, errors, user experience, infrastructure, and production incidents. |
| 2026-06-07 |
Google |
Algorithm monitoring |
9 |
— |
New Relic A developer-favorite observability platform that provides deep, code-level insights into application performance. Through integrations with specialized ML tools, it allows teams to monitor algorithm latency, throughput, and system errors alongside standard backend telemetry. |
| 2026-06-06 |
OpenAI |
Algorithm monitoring |
7 |
— |
New Relic Good for teams looking to connect AI or algorithm performance with application telemetry, traces, logs, user experience, and production system health in one observability platform. |