Prometheus vs Graylog

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

Prometheus is a Ai Tools & Services solution with tags like monitoring, alerting, metrics.

It boasts features such as 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 pros including 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.

On the other hand, Graylog is a Network & Admin product tagged with logging, log-management, realtime, search, dashboards, alerts, analysis.

Its standout features include Centralized log management, Real-time log analysis, Alerting and notifications, Dashboards and visualizations, Scalable architecture, REST API, Role-based access control, and it shines with pros like Open source and free, Powerful search and analytics, Flexible extraction and processing, Easy to deploy and scale, Integrates with many data sources, Customizable dashboards, Robust access controls.

Feature	Prometheus	Graylog
Overall Score	1	N/A
Primary Category	Ai Tools & Services	Network & Admin

Product Overview

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.

Graylog

Description: Graylog is an open source log management tool that collects, indexes, and analyzes log data in real-time. It provides searching, dashboards, alerts, and data analysis functionality.

Key Features Comparison

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

Graylog Features

• Centralized log management
• Real-time log analysis
• Alerting and notifications
• Dashboards and visualizations
• Scalable architecture
• REST API
• Role-based access control

Pros & Cons Analysis

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

Graylog

Pros

• Open source and free
• Powerful search and analytics
• Flexible extraction and processing
• Easy to deploy and scale
• Integrates with many data sources
• Customizable dashboards
• Robust access controls

Cons

• Steep learning curve
• Complex configuration
• Resource intensive
• Limited native data storage
• Less support options

Pricing Comparison

Prometheus

• Open Source

Graylog

• Open Source
• Subscription-Based