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

ELK vs Loggly

OverviewComparisonAlternatives

Overview

Loggly
Loggly
Stacks269
Followers304
Votes168
ELK
ELK
Stacks863
Followers941
Votes23

ELK vs Loggly: What are the differences?

Introduction

ELK is an acronym for Elasticsearch, Logstash, and Kibana, which together form a powerful open-source stack for log management and analysis. On the other hand, Loggly is a cloud-based log management and analysis service offered by SolarWinds. While both ELK and Loggly are used for log management purposes, there are key differences between them.

  1. Scalability: One of the key differences between ELK and Loggly is scalability. ELK is highly scalable, allowing users to handle large amounts of log data and easily scale up as their log management needs grow. On the other hand, Loggly has its scalability limitations as it is a cloud-based service with finite resources. This means that users may face challenges when dealing with large volumes of log data or when they need to scale up their log management infrastructure.

  2. Deployment: Another difference between ELK and Loggly lies in the deployment options available. ELK offers users the flexibility to deploy the stack on their own infrastructure, whether it be on-premises or on cloud platforms such as AWS or Azure. This allows organizations to have full control over their log management environment. In contrast, Loggly is a cloud-based service and does not provide the same level of deployment flexibility as ELK. Users can only use Loggly as a cloud service hosted by SolarWinds.

  3. Architecture: ELK and Loggly also differ in their underlying architecture. ELK consists of three main components: Elasticsearch, which serves as a distributed search and analytics engine; Logstash, a data ingestion and transformation pipeline; and Kibana, a web interface for visualizing and exploring log data. Loggly, on the other hand, is a fully-managed service that abstracts the complexity of the underlying architecture from users. Loggly provides a simplified and streamlined log management experience by handling the log ingestion, indexing, and searching processes.

  4. Customization: ELK and Loggly vary in terms of customization options. ELK provides users with extensive customization capabilities, allowing them to fine-tune and tailor the log management stack according to their specific needs. Users can customize data pipelines, search queries, dashboard visualizations, and more. In contrast, Loggly has more limited customization options since it is a managed service. While users can still customize some aspects of the Loggly interface and search queries, they have less control over the underlying infrastructure and system configuration.

  5. Pricing Model: ELK and Loggly employ different pricing models. ELK is an open-source stack, which means it is free to use and users only need to pay for the infrastructure costs associated with hosting and managing the stack. On the other hand, Loggly follows a subscription-based pricing model, where users pay a recurring fee based on their log data volume and retention needs. This subscription cost covers the infrastructure, maintenance, and support provided by SolarWinds.

  6. Support and Maintenance: Support and maintenance offerings differ between ELK and Loggly. ELK being an open-source stack, relies on community support for troubleshooting and issue resolution. Users can seek help from the ELK community through various forums and resources available online. In contrast, Loggly offers official technical support and maintenance services as part of their subscription package. Users can rely on SolarWinds' dedicated support team for assistance with troubleshooting, bug fixes, and other log management-related issues.

**In Summary, ELK and Loggly differ in terms of scalability, deployment options, architecture, customization, pricing model, and support/maintenance offerings.

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Detailed Comparison

Loggly
Loggly
ELK
ELK

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

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.

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
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Statistics
Stacks
269
Stacks
863
Followers
304
Followers
941
Votes
168
Votes
23
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
  • 14
    Open source
  • 4
    Can run locally
  • 3
    Good for startups with monetary limitations
  • 1
    Easy to setup
  • 1
    External Network Goes Down You Aren't Without Logging
Cons
  • 5
    Elastic Search is a resource hog
  • 3
    Logstash configuration is a pain
  • 1
    Bad for startups with personal limitations
Integrations
Heroku
Heroku
Amazon S3
Amazon S3
New Relic
New Relic
AWS CloudTrail
AWS CloudTrail
Engine Yard Cloud
Engine Yard Cloud
Cloudability
Cloudability
No integrations available

What are some alternatives to Loggly, ELK?

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.

Logmatic

Logmatic

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.

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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