ELK vs LogDNA

Overview

ELK

Stacks863

Followers941

Votes23

LogDNA

Stacks97

Followers144

Votes18

ELK vs LogDNA: What are the differences?

Introduction

ELK (Elasticsearch, Logstash, and Kibana) and LogDNA are both popular log management solutions used for analyzing and visualizing logs. However, there are several key differences between these two platforms that set them apart in terms of features and capabilities.

Scalability and Flexibility: ELK offers a highly scalable and flexible log management solution. It can handle large volumes of logs and scale horizontally as per the needs of the organization. On the other hand, LogDNA provides a cloud-native log management platform that offers simplicity and ease of use but may not be as scalable or flexible as ELK.
Ease of Deployment and Management: ELK requires manual setup and configuration, making it more complex to deploy and manage. On the other hand, LogDNA streamlines the deployment process by offering a fully managed log management platform. It simplifies log collection and management, enabling users to get started quickly without the need for extensive setup and configuration.
Search and Query Capabilities: ELK provides robust search and query capabilities with Elasticsearch at its core. Elasticsearch offers advanced search functionality, including full-text search and support for complex queries. LogDNA, on the other hand, offers a simpler and more intuitive search interface, which may be suitable for users who require basic search and query functionality.
Alerting and Notification: ELK offers flexible alerting and notification capabilities through its Watcher feature. It allows users to define thresholds and conditions for triggering alerts based on log events. LogDNA also provides alerting functionality, allowing users to set up alerts based on specific log patterns or events.
Integration and Plugin Ecosystem: ELK has a wide range of integrations and plugins available, allowing users to extend its functionality and integrate with other systems or tools. LogDNA, while offering some integrations, may have a more limited plugin ecosystem compared to ELK.
Pricing Model: ELK follows an open-source model with a range of pricing options based on support and additional features. LogDNA, on the other hand, offers a subscription-based pricing model that includes different tiers based on log volume and retention needs.

In summary, ELK provides a highly scalable and flexible log management solution with advanced search capabilities and extensive integrations, while LogDNA offers simplified deployment and management, intuitive search functionality, and a fully managed log management platform. Your choice between the two will depend on your specific log management requirements and preferences.

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Detailed Comparison

ELK	LogDNA
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.	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
-	Aggregate Logs & Analyze Related Events;Easy Setup in Minutes;Powerful Search & Alerts;Save what you see as a View;Modern User Interface;Tail -f Like a Boss;Debug & Troubleshoot Faster
Statistics
Stacks 863	Stacks 97
Followers 941	Followers 144
Votes 23	Votes 18
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 6 Easy setup 4 Cheap 3 Extremely fast 2 Powerful filtering and alerting functionality 1 Multi-cloud Cons 1 Limited visualization capabilities 1 Cannot copy & paste text from visualization

What are some alternatives to ELK, LogDNA?

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

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

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 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 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

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

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

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

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

Related Comparisons

ELK vs LogDNA: What are the differences?

Introduction

Scalability and Flexibility: ELK offers a highly scalable and flexible log management solution. It can handle large volumes of logs and scale horizontally as per the needs of the organization. On the other hand, LogDNA provides a cloud-native log management platform that offers simplicity and ease of use but may not be as scalable or flexible as ELK.
Ease of Deployment and Management: ELK requires manual setup and configuration, making it more complex to deploy and manage. On the other hand, LogDNA streamlines the deployment process by offering a fully managed log management platform. It simplifies log collection and management, enabling users to get started quickly without the need for extensive setup and configuration.
Search and Query Capabilities: ELK provides robust search and query capabilities with Elasticsearch at its core. Elasticsearch offers advanced search functionality, including full-text search and support for complex queries. LogDNA, on the other hand, offers a simpler and more intuitive search interface, which may be suitable for users who require basic search and query functionality.
Alerting and Notification: ELK offers flexible alerting and notification capabilities through its Watcher feature. It allows users to define thresholds and conditions for triggering alerts based on log events. LogDNA also provides alerting functionality, allowing users to set up alerts based on specific log patterns or events.
Integration and Plugin Ecosystem: ELK has a wide range of integrations and plugins available, allowing users to extend its functionality and integrate with other systems or tools. LogDNA, while offering some integrations, may have a more limited plugin ecosystem compared to ELK.
Pricing Model: ELK follows an open-source model with a range of pricing options based on support and additional features. LogDNA, on the other hand, offers a subscription-based pricing model that includes different tiers based on log volume and retention needs.

ELK vs LogDNA

Overview