ELK Log Analysis vs. XpoLog Logs Manager – Analyzer-Monitoring System

We performed a comparison between ELK log analysis tool and XpoLog log management tool. 

Main points to notice when considering using ELK for your log analysis Vs. XpoLog:

1. XpoLog provides a unique auto mining technology which profiles systems and app log data.

XpoLog tool is able to build automatic IT intelligence which helps to understand the source of the problem and subsequently correlate and compute trends on those problems and then create the search analysis queries for the user. This allows application, systems and security groups to automate their log mining process and time to value on unknown data.

2. Our customers do not need to be superbly technically proficient in the area of searches.

XpoLog brings automation and AI technology to empower the admin – dozens of apps with ready to use reports and dashboards, auto-detection of problems, errors, exceptions, trends and more, predefined filters, monitors, automated log parsing. XpoLog allows a simple use of the analytical console to: investigate, discover, and isolate their problems which affect their IT. 

3. XpoLog is agentless – for *nix systems we utilize SSH and therefore is able to collect thousands of servers/apps logs without the need for agent installation. This feature is a major advantage for MSPs. 

4. The price of our solution is considerably lower than the cost of an Open Source Logs management solution eventually and especially for an enterprise solution.

This is a major advantage for customers who are initially put off by the high cost of Splunk or are looking to switch to a more advanced system with a better ROI/TCO.  

Download XpoLog7 Free – Get Online Support Session to Improve Your Logs Monitoring System.


ELK Stack (Elastic-search, Logstash, Kibana)



(Total Cost of Ownership)

  • Far from being Free
  • Paid support
  • Licensing fees for essential components that are usually built-in. 
  • No security
  • Not predictable  
  • High TCO due to complexity in integration and maintenance  
  • Enterprise-scale fully featured commercial product
  • Offers additional important features such as Analytical Search and Robust security
  • Costs much less than ELK 
  • More sustainable
  • More predictable in terms of its future plans
Hosted solution      No      Hybrid
On premise  Yes (but with limited security features)      Yes
Cloud support      No      Yes. 

     Includes integration with all major cloud providers.

Data Collection and Parsing
  • Agent-based collection based on Logstash. 
  • Customer is responsible for sending the data to ELK server
  • Requires highly technical expertise. 
  • Parsing is based on scripts that are developed by the user
  • Requires installation on each node and manual configuration.
  • Upgrade of agents is very difficult. 
  • No UI for data collection.
  • Even a small-scale deployment may take days.
  • Ongoing maintenance and upgrades is extremely difficult.
  • Agent-less 
  • Based on SSH. 
  • Parsing is automatic.
  • Includes a comprehensive UI.
Out of the box applications  No. 

Relies on a community to build it


     Linux, Windows, IIS, Apache, Tomcat, NGINX, Log4net, Log4J,                 WebSphere, and more

     Amazon AWS – S3, CloudFront, CloudTrail, Linux AMI, ELB, RDS, 

Health status Requires an additional product license called like Marvel – that is relatively new      Built-in no additional costs
Full Text Search
  • Provided by Elasticsearch and based on Lucene. 
  • Uses proprietary query language. 
  • The search is very basic. 
  • Depending on the manual parsing of the data (see parsing challenges above), any search query may yield a lot of irrelevant results (no sorting by criticality/severity, etc.).

     In addition includes Analytical Search, analytical layers on top of the         search. 

     Meaning that the search results are more relevant, include criticality         scoring, etc.


Based on Kibana. 

Visualization is time-based only (no visualization of criticality, etc.).

     Extremely rich visualization including analytical layers that show                 critical events throughout the timeline. 

     Users can easily create dashboards and reports, including charts,                 geomaps, and more.

Semantic analysis  No      Yes. 

     XpoLog uses analytics technologies like machine learning analysis,                semantic profiling and anomaly detection on all the gathered logs to              establish a meaning and importance of the various log event messages. 

     That knowledge is then used to establish the criticality level of the                 events. 

     The critically analysis is used to pro-actively surface important events             that require the user’s attention.

Real-time data  Depends highly on implementation      Yes
Transaction Analytics  No      Yes
Extraction of value from the data Heavily dependent on the user’s experience,                    knowledge and acquaintance with a monitored environment.

In any case the extraction of value takes time.

     Less dependent on the user’s experience and technical know-how. 

     The system proactively surfaces important events that require the user’s       attention.

Security  Coming soon      Yes. 

     Enterprise-grade security features.

Summary Considering the cost of the paid components (e.g. Marvel and Shield) and the complexity in deployment and integration, the “open source” solution is definitely not free. 

By adding a little bit to the licensing cost, clients can get XpoLog, which is much more robust and includes important features that enable users to extract more value from the data quickly without relying on their expertise.

Your Guaranteed Added Values

  • Accelerate Problem Resolution by 80%
  • Discover 37% More Problems in your systems
  • Accelerate Logs Troubleshooting by 90%
  • Reduce 80% MTTR (Mean Time to Repair)
  • Increase Your Company’s App Intelligence
  • 2-Click Insights | XpoLog ELK / Elastic search / Logstash / Kibana Logs Analyzer v6 Plug & Play | Powerful & Automated In-Depth Logs Data Mining | Optimize Your Apache Tomcat / Catalina / JSP System with Out-of-the-Box Apps

    After installation, go to XpoLog built-in Apps marketplace, choose any App you need like: Tomcat Server, Apache, Linux, Windows, Log4J, SysLog, MySQL or an Amazon app and get an instant insight on all historical logs data – start improving your system in 2 clicks!

  • Your Fast & Easy Universal ELK / Elastic search / Logstash / Kibana Logs Analysis & Manager – Full Auto-pilot Analytics – All Your Logs at All Sizes Across All Folders and Servers

    XpoLog logs analysis and management for ELK / Elastic search / Logstash / Kibana visualizes your ELK Events hidden for your machine-generated data values as well as errors with a set of built-in dashboards and presents advanced log data analytics on physical & logical system entities from all log files across multiple clusters and run both on-premise and in the cloud.  The ELK / Elastic search / Logstash / Kibana auto-pilot mode enables you to view dashboards in 2 clicks! XpoLog ELK / Elastic search / Logstash / Kibana logs analysis server is highly customizable and you can work your system in manual mode to fit your logs data analytics exact needs. With XpoLog ELK / Elastic search / Logstash / Kibana logs analyzer you get periodical alerts, reports and notifications on all your important insights. XpoLog’s built-in servers’ logs analytic layers for ELK / Elastic search / Logstash / Kibana event logs scan your log files and application data and show case a prioritize list of all insights and intelligence based on your users’ transactions. XpoLog ELK / Elastic search / Logstash / Kibana event logs analyzer has a patented algorithm that delivers a live Root Cause Analysis on all your servers logs across all folders. Analysis of logs pinpoints crucial problems and hidden values – XpoLog ELK / Elastic search / Logstash / Kibana Logs Manager analyzes all logs across multiple folders and devices and present critical IT, DevOps, Web Admins, Webmasters, and Business quality and availability insights with a deep root cause analysis.

    XpoLog ELK / Elastic search / Logstash / Kibana Events Logs Analyzer helps you unlock and discover IT hidden errors, problems, and patterns in any log data at any size as well as Business values by making any ELK / Elastic search / Logstash / Kibana log data easily accessible for search and visualization in real time.

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With Customized XpoLog Logs Analyzer for ELK / Elastic search / Logstash / Kibana you can easily view and search multiple logs data, zero-in on servers’ errors and exceptions, deploy out-of-the-box logs analysis apps and run correlation and analytics on application logs in real time and to any Windows logs format and size.

  • Agent-less End to End Data Collection – View huge live logs non-intrusively.
  • Search, Filter, Read & View Logs – Google-like search intuitive machine data viewer.
  • Automated In-Depth Analytics – date, geo location, devices, pages & URLs, referrers, resources, servers, visitors, performance, and all types of errors filters.
  • Analysis Visualization Dashboards – Visualize all hidden business values, Gadgets, NOC Views.
  • Out of the box Apps – Operational intelligence across multiple logs and platforms – Windows, Linux, Syslog, .Net, IIS, Log4J, MySQL, Apache, Network, VMware, Docker and more.

XpoLog Logs Analyzer for for ELK features advanced analytics, reports and Root Cause Analysis on all for ELK / Elastic search / Logstash / Kibana types and sizes to discover hidden faults and values, improve your system’s up time, reduce your IT problems thus increase your revenues.