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  1. Stackups
  2. DevOps
  3. Log Management
  4. Log Management
  5. ELK vs ManageEngine EventLog Analyzer

ELK vs ManageEngine EventLog Analyzer

OverviewComparisonAlternatives

Overview

ELK
ELK
Stacks863
Followers941
Votes23
ManageEngine EventLog Analyzer
ManageEngine EventLog Analyzer
Stacks0
Followers8
Votes0

ELK vs ManageEngine EventLog Analyzer: What are the differences?

Introduction

ELK (Elasticsearch, Logstash, and Kibana) and ManageEngine EventLog Analyzer are two popular log management and analysis tools used by organizations to collect, process, and visualize log data. While both solutions have similar objectives, there are several key differences between ELK and ManageEngine EventLog Analyzer, which are outlined below:

  1. Data Collection and Parsing: ELK uses Logstash as a data collection and parsing tool, offering flexibility and customization options for collecting logs from various sources. On the other hand, ManageEngine EventLog Analyzer has built-in log collection agents that simplify the data collection process, making it easier to gather logs from different systems and devices.

  2. Scalability and Performance: ELK is known for its scalability and high performance, as it is based on distributed and horizontally scalable components like Elasticsearch. It can handle large volumes of log data and provide real-time insights. In contrast, ManageEngine EventLog Analyzer, while also scalable, may have limitations regarding the number of systems and devices it can support simultaneously.

  3. Alerting and Notification: ELK provides basic alerting capabilities, allowing users to set up custom alerts based on specific log patterns or events. However, more advanced alerting and notification features may require additional configuration and integration with third-party tools. ManageEngine EventLog Analyzer, on the other hand, provides a comprehensive set of built-in alerting mechanisms, enabling users to easily configure real-time alerts based on predefined rules and thresholds.

  4. Search and Query Capabilities: ELK offers powerful search and query capabilities using Elasticsearch's full-text search functionality. With its advanced search syntax and support for aggregations, users can efficiently search and filter through vast amounts of log data. ManageEngine EventLog Analyzer also provides search functionality but may not have the same level of flexibility and advanced querying options as ELK.

  5. Visualization and Dashboards: ELK's Kibana component is highly regarded for its rich visualization capabilities and customizable dashboards. It allows users to create interactive visualizations, charts, and graphs to gain insights from log data. ManageEngine EventLog Analyzer, on the other hand, provides a set of predefined dashboards and visualization options. While it offers flexibility to modify dashboards, it may not provide the same level of customization as Kibana.

  6. Community and Ecosystem: ELK benefits from a large and active open-source community, providing extensive resources, plugins, and integrations. The ELK ecosystem is continuously evolving, with frequent updates and new features being introduced. In contrast, ManageEngine EventLog Analyzer is a commercial tool developed by ManageEngine, which may have a more limited ecosystem and community support compared to ELK.

In summary, ELK and ManageEngine EventLog Analyzer differ in terms of data collection and parsing, scalability and performance, alerting and notification capabilities, search and query capabilities, visualization and dashboards, and community and ecosystem support. These differences should be carefully considered when choosing a log management and analysis solution based on specific requirements and use cases.

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Detailed Comparison

ELK
ELK
ManageEngine EventLog Analyzer
ManageEngine EventLog Analyzer

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.

It is one of the preferred SIEM log management software of cyber-security consultants and white-hat hackers. It can keep all event logs and Syslogs in one place, sort them out, and analyze them in real time. It is a no brainer when it comes to your security logs.

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Log Collection; Log Analysis; Log Archiving; Importing Event Logs
Statistics
Stacks
863
Stacks
0
Followers
941
Followers
8
Votes
23
Votes
0
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
No community feedback yet

What are some alternatives to ELK, ManageEngine EventLog Analyzer?

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.

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.

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