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  1. Stackups
  2. DevOps
  3. Log Management
  4. Log Management
  5. Loggly vs Logmatic

Loggly vs Logmatic

OverviewComparisonAlternatives

Overview

Loggly
Loggly
Stacks269
Followers304
Votes168
Logmatic
Logmatic
Stacks66
Followers77
Votes238

Loggly vs Logmatic: What are the differences?

Loggly: Log Management, Simplified in the Cloud. The world's most popular cloud-based log management service delivers application intelligence; Logmatic: Funnel all logs, metrics and machine events into a single hub. Get a clear overview of what is happening across your distributed environments, and spot the needle in the haystack in no time. Build dynamic analyses and identify improvements for your software, your user experience and your business.

Loggly and Logmatic belong to "Log Management" category of the tech stack.

Some of the features offered by Loggly are:

  • See what your application is doing during development
  • Catch exceptions and track execution flow
  • Graph and report on the number of errors generated

On the other hand, Logmatic provides the following key features:

  • Easy Set Up: Just send us any type of logs - front to back - machine events, or metrics and we will do the powerful processing. No Logmatic.io agent
  • Enrichment & Parsing: Automatic recognition, Customisable grok parsers, Integrated IP geolocation and user-agent parsing
  • Investigation: Faceted and full-text granular searches, Real-time search results

"Centralized log management" is the top reason why over 35 developers like Loggly, while over 34 developers mention "Powerful Data Vizualization" as the leading cause for choosing Logmatic.

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Detailed Comparison

Loggly
Loggly
Logmatic
Logmatic

It is a SaaS solution to manage your log data. There is nothing to install and updates are automatically applied to your Loggly subdomain.

Get a clear overview of what is happening across your distributed environments, and spot the needle in the haystack in no time. Build dynamic analyses and identify improvements for your software, your user experience and your business.

See what your application is doing during development;Catch exceptions and track execution flow;Graph and report on the number of errors generated;Search across multiple deployments;Narrow down on specific issues;Investigate root cause analysis;Monitor for specific events and errors;Trigger alerts based on occurrences and investigate for resolutions;Track site traffic and capacity;Measure application performance;A rich set of RESTful APIs which make data from applications easy to query;Supports oAuth authentication for third-party applications development (View our Chrome Extension with NewRelic);Developer ecosystem provides libraries for Ruby, JavaScript, Python, PHP, .NET and more
Easy Set Up: Just send us any type of logs - front to back - machine events, or metrics and we will do the powerful processing. No Logmatic.io agent; Enrichment & Parsing: Automatic recognition, Customisable grok parsers, Integrated IP geolocation and user-agent parsing; Investigation: Faceted and full-text granular searches, Real-time search results; Monitoring: Real-time, customizable log analyses, Clickable dashboards, powerful data vizualization; Alerting: via email, Slack, pagerduty, hipchat, webhook. Create highly flexible alerts based on your logs analyses with search queries or metrics, and user-defined thresholds
Statistics
Stacks
269
Stacks
66
Followers
304
Followers
77
Votes
168
Votes
238
Pros & Cons
Pros
  • 37
    Centralized log management
  • 25
    Easy to setup
  • 21
    Great filtering
  • 16
    Live logging
  • 15
    Json log support
Cons
  • 3
    Pricey after free plan
Pros
  • 35
    Powerful Data Vizualization
  • 31
    Live search
  • 30
    Super reactive interface
  • 28
    Amazing support team
  • 27
    Real-time alerts on slack
Integrations
Heroku
Heroku
Amazon S3
Amazon S3
New Relic
New Relic
AWS CloudTrail
AWS CloudTrail
Engine Yard Cloud
Engine Yard Cloud
Cloudability
Cloudability
Segment
Segment
AWS CloudTrail
AWS CloudTrail
PagerDuty
PagerDuty
Heroku
Heroku
Docker
Docker
Slack
Slack
Rails
Rails
Java
Java
Golang
Golang
Android SDK
Android SDK

What are some alternatives to Loggly, Logmatic?

Papertrail

Papertrail

Papertrail helps detect, resolve, and avoid infrastructure problems using log messages. Papertrail's practicality comes from our own experience as sysadmins, developers, and entrepreneurs.

Logentries

Logentries

Logentries makes machine-generated log data easily accessible to IT operations, development, and business analysis teams of all sizes. With the broadest platform support and an open API, Logentries brings the value of log-level data to any system, to any team member, and to a community of more than 25,000 worldwide users.

Logstash

Logstash

Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana.

Graylog

Graylog

Centralize and aggregate all your log files for 100% visibility. Use our powerful query language to search through terabytes of log data to discover and analyze important information.

Sematext

Sematext

Sematext pulls together performance monitoring, logs, user experience and synthetic monitoring that tools organizations need to troubleshoot performance issues faster.

Fluentd

Fluentd

Fluentd collects events from various data sources and writes them to files, RDBMS, NoSQL, IaaS, SaaS, Hadoop and so on. Fluentd helps you unify your logging infrastructure.

ELK

ELK

It is the acronym for three open source projects: Elasticsearch, Logstash, and Kibana. Elasticsearch is a search and analytics engine. Logstash is a server‑side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch. Kibana lets users visualize data with charts and graphs in Elasticsearch.

Sumo Logic

Sumo Logic

Cloud-based machine data analytics platform that enables companies to proactively identify availability and performance issues in their infrastructure, improve their security posture and enhance application rollouts. Companies using Sumo Logic reduce their mean-time-to-resolution by 50% and can save hundreds of thousands of dollars, annually. Customers include Netflix, Medallia, Orange, and GoGo Inflight.

Splunk

Splunk

It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.

LogDNA

LogDNA

The easiest log management system you will ever use! LogDNA is a cloud-based log management system that allows engineering and devops to aggregate all system and application logs into one efficient platform. Save, store, tail and search app

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