New Relic vs Prometheus

Struggling to choose between New Relic and Prometheus? Both products offer unique advantages, making it a tough decision.

New Relic is a Ai Tools & Services solution with tags like monitoring, performance, analytics, application, devops.

It boasts features such as Real-time performance monitoring, Error and exception tracking, Transaction tracing, Cross-application tracing, Alerting and notifications, Custom dashboards, Log management, Browser monitoring, Mobile monitoring and pros including Detailed performance insights, Quick and easy setup, Flexible alerting, Integration with many platforms, Good customer support.

On the other hand, Prometheus is a Ai Tools & Services product tagged with monitoring, alerting, metrics.

Its standout features include Multi-dimensional data model with time series data identified by metric name and key/value pairs, PromQL, a flexible query language to leverage this dimensionality, No reliance on distributed storage; single server nodes are autonomous, Time series collection happens via a pull model over HTTP, Pushing time series is supported via an intermediary gateway, Targets are discovered via service discovery or static configuration, Multiple modes of graphing and dashboarding support, and it shines with pros like Highly dimensional model allows flexible and efficient queries, PromQL supports aggregation and recording rules for pre-calculation, Built-in alerting and notification routing, Highly available with simple operational model, Native support for Kubernetes, Strong ecosystem integration.

Feature	New Relic	Prometheus
Overall Score	1	1
Primary Category	Ai Tools & Services	Ai Tools & Services

Product Overview

New Relic

Description: New Relic is a performance monitoring software for applications. It allows developers to track and monitor application performance in real-time to detect and diagnose issues. New Relic provides insights into app load times, throughput, errors, and more.

Prometheus

Description: Prometheus is an open-source systems monitoring and alerting toolkit. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if certain conditions are met.

Key Features Comparison

New Relic Features

• Real-time performance monitoring
• Error and exception tracking
• Transaction tracing
• Cross-application tracing
• Alerting and notifications
• Custom dashboards
• Log management
• Browser monitoring
• Mobile monitoring

Prometheus Features

• Multi-dimensional data model with time series data identified by metric name and key/value pairs
• PromQL, a flexible query language to leverage this dimensionality
• No reliance on distributed storage; single server nodes are autonomous
• Time series collection happens via a pull model over HTTP
• Pushing time series is supported via an intermediary gateway
• Targets are discovered via service discovery or static configuration
• Multiple modes of graphing and dashboarding support

Pros & Cons Analysis

New Relic

Pros

• Detailed performance insights
• Quick and easy setup
• Flexible alerting
• Integration with many platforms
• Good customer support

Cons

• Can get expensive for large apps
• Steep learning curve
• May need additional services for full APM
• Alerts can be noisy if not tuned

Prometheus

Pros

• Highly dimensional model allows flexible and efficient queries
• PromQL supports aggregation and recording rules for pre-calculation
• Built-in alerting and notification routing
• Highly available with simple operational model
• Native support for Kubernetes
• Strong ecosystem integration

Cons

• Pull-based model can miss short-lived spikes between scrapes
• No automatic removal of stale metrics (extra storage usage)
• Limited tooling for stats analysis, forecasting, anomaly detection
• No built-in federation for massive scale
• Steep learning curve for PromQL and architecture

Pricing Comparison

New Relic

• Free
• Subscription-Based

Prometheus

• Open Source