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

ELK vs Logmatic

OverviewComparisonAlternatives

Overview

ELK
ELK
Stacks863
Followers941
Votes23
Logmatic
Logmatic
Stacks66
Followers77
Votes238

ELK vs Logmatic: What are the differences?

## Key Differences between ELK and Logmatic

ELK and Logmatic are both powerful logging and monitoring tools, with some key differences that make them suitable for different use cases. Here are six key differences between ELK and Logmatic:

1. **Architecture**: ELK, which stands for Elasticsearch, Logstash, and Kibana, follows a traditional architecture where Logstash is responsible for log collection and parsing, Elasticsearch stores logs, and Kibana provides visualization. On the other hand, Logmatic is a cloud-based solution that handles log collection, parsing, storage, and visualization in a unified manner, making it easier to set up and use.
  
2. **Scalability**: ELK requires manual scaling and optimization to handle large volumes of logs efficiently, which can be complex and time-consuming. In contrast, Logmatic offers automatic scalability and resource management, allowing users to focus on analyzing logs rather than managing infrastructure.

3. **Ease of Use**: ELK is known for its steep learning curve, requiring users to have a strong understanding of the Elasticsearch query language and configuration settings. Logmatic, with its intuitive interface and predefined dashboards, is designed to be user-friendly and accessible even to users with limited technical knowledge.

4. **Alerting and Monitoring**: ELK provides basic alerting capabilities through third-party plugins or custom scripts, which can be challenging to set up and maintain. Logmatic offers built-in alerting features that allow users to set up notifications based on defined thresholds and monitor log data in real-time without the need for additional tools.

5. **Cost**: Deploying and managing ELK can be costly, especially when considering hardware requirements, licensing fees, and maintenance overhead. In contrast, Logmatic's pay-as-you-go pricing model and cloud-based infrastructure make it a more cost-effective solution for organizations looking to manage log data without significant upfront investment.

6. **Support and Community**: While ELK benefits from a large community of users and developers, Logmatic provides dedicated support and resources to help users troubleshoot issues, optimize their log management strategies, and get the most out of the platform.

In Summary, ELK and Logmatic offer distinct advantages in terms of architecture, scalability, ease of use, alerting capabilities, cost, and support, catering to different needs and preferences in log management and monitoring.

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Detailed Comparison

ELK
ELK
Logmatic
Logmatic

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.

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.

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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
863
Stacks
66
Followers
941
Followers
77
Votes
23
Votes
238
Pros & Cons
Pros
  • 14
    Open source
  • 4
    Can run locally
  • 3
    Good for startups with monetary limitations
  • 1
    External Network Goes Down You Aren't Without Logging
  • 1
    Easy to setup
Cons
  • 5
    Elastic Search is a resource hog
  • 3
    Logstash configuration is a pain
  • 1
    Bad for startups with personal limitations
Pros
  • 35
    Powerful Data Vizualization
  • 31
    Live search
  • 30
    Super reactive interface
  • 28
    Amazing support team
  • 27
    Real-time alerts on slack
Integrations
No integrations available
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 ELK, 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.

Loggly

Loggly

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

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.

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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