Datadog vs Loggly

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

Datadog is a Ai Tools & Services solution with tags like monitoring, analytics, cloud, metrics, events, logs.

It boasts features such as Real-time metrics monitoring, Log management and analysis, Application performance monitoring, Infrastructure monitoring, Synthetic monitoring, Alerting and notifications, Dashboards and visualizations, Collaboration tools, Anomaly detection, Incident management and pros including Powerful dashboards and visualizations, Easy infrastructure monitoring setup, Good value for money, Strong integration ecosystem, Flexible pricing model, Good alerting capabilities.

On the other hand, Loggly is a Ai Tools & Services product tagged with logging, monitoring, analytics, search.

Its standout features include Real-time log monitoring and alerting, Advanced log search and filtering, Log archiving and analytics, Integration with various IT tools, Cloud-based platform, and it shines with pros like Easy centralized log management, Powerful log analytics capabilities, Scalable cloud solution, Integrates well with existing systems, Intuitive UI and simple setup.

Feature	Datadog	Loggly
Overall Score	2	N/A
Primary Category	Ai Tools & Services	Ai Tools & Services

Product Overview

Datadog

Description: Datadog is a monitoring and analytics platform for cloud applications. It aggregates metrics, events, and logs from servers, databases, tools, and services to present a unified view of an entire stack. Datadog helps developers observe application performance, optimize integrations, and collaborate with other teams to quickly solve problems.

Loggly

Description: Loggly is a cloud-based log management and analytics platform that helps developers and IT teams aggregate, search, analyze, monitor, and archive log data. It provides real-time log monitoring, advanced correlation features, and integrations with various IT infrastructure tools.

Key Features Comparison

Datadog Features

• Real-time metrics monitoring
• Log management and analysis
• Application performance monitoring
• Infrastructure monitoring
• Synthetic monitoring
• Alerting and notifications
• Dashboards and visualizations
• Collaboration tools
• Anomaly detection
• Incident management

Loggly Features

• Real-time log monitoring and alerting
• Advanced log search and filtering
• Log archiving and analytics
• Integration with various IT tools
• Cloud-based platform

Pros & Cons Analysis

Datadog

Pros

• Powerful dashboards and visualizations
• Easy infrastructure monitoring setup
• Good value for money
• Strong integration ecosystem
• Flexible pricing model
• Good alerting capabilities

Cons

• Steep learning curve
• Can get expensive at higher tiers
• Limited customization options
• Alerting can be noisy at times
• Lacks advanced machine learning capabilities

Loggly

Pros

• Easy centralized log management
• Powerful log analytics capabilities
• Scalable cloud solution
• Integrates well with existing systems
• Intuitive UI and simple setup

Cons

• Can get expensive for large volumes of logs
• Limited long-term log archiving
• Less customization options than self-hosted solutions
• Requires internet connection

Pricing Comparison

Datadog

• Free
• Pro
• Enterprise

Loggly

• Subscription-Based