Logz.io vs Loggly

Search across your logs faster. Comphrensive logs, metrics, 
and trace analytics.

Monitor your stack with high-powered open source tools

The best engineers use open source monitoring tools like ELK, Prometheus, and Jaeger. So Logz.io supercharged them on a unified and scalable SaaS platform to provide:

  • A centralized view of all your logs, metrics, and traces to monitor the health and performance of your entire stack.
  • The familiarity and interoperability of the most popular monitoring tools in the world, which prevents vendor lock-in.
  • Alerts and other features we added to the open source to make cloud monitoring easier and cost efficient.

Data sovereignty across the world

Unlike Loggly, Logz.io has data centers in EMEA, so European users can ensure low latency and compliance with standards like GDPR. Logz.io customers can keep their monitoring data in a wide selection of AWS or Azure regions across the world.

Search and visualize across larger volumes of monitoring data, faster

Logz.io provides more advanced data anlytics needed to identify and troubleshoot production issues faster:

  • Insights: AI/ML that automatically surfaces new errors and exceptions in your logs.
  • Patterns: AI/ML that automatically clusters similar logs into groups - turning 1000s of data rows into 10s.
  • Correlation: correlate between logs, metrics, and traces to immediately find the root cause of production issues.

Logz.io users are happier :)

Modern DevOps teams love Logz.io’s cost efficiency and unique open source-powered cloud monitoring. But don’t take it from us...

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Meet Requirements

9.0
7.5

Ease of Use

8.8
7.9

Ease of Setup

8.9
8.3

Ease of Admin

9.0
8.0

Quality of Support

9.5
8.3

Ease of doing business with

9.3
8.2

Product Direction
% Positive

8.9
8.6

See Logz.io products in action

Logz.io provides end-to-end monitoring and observability by unifying log, metrics, traces, and security events on one scalable platform.

log-managment

01:52

Log Management

infrastructure-monitoring

01:55

Infrastructure Monitoring

cloud-siem

02:25

Cloud SIEM

distributed-tracing

02:12

Distributed Tracing

observability

05:09

Observability

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