Struggling to choose between Open Web Analytics and Logentries? Both products offer unique advantages, making it a tough decision.
Open Web Analytics is a Business & Commerce solution with tags like open-source, web-analytics, traffic-tracking, usage-analytics.
It boasts features such as Open source web analytics software, Easy to install and configure, Tracks website visitors and traffic sources, Provides reports on visits, page views, referrers, search keywords, Customizable dashboards and reporting, Event and goal tracking, Support for A/B testing, API for data export and integration, Works with MySQL, PostgreSQL and MS SQL databases and pros including Free and open source, Easy to set up and use, Provides core web analytics functionality, Customizable and extensible, Self-hosted - you control your data, Active development community.
On the other hand, Logentries is a Network & Admin product tagged with logging, monitoring, analytics.
Its standout features include Real-time log monitoring and alerting, Log collection from servers, networks, apps, Log search and filtering, Customizable dashboards and visualizations, Anomaly detection for security, Log archiving and compliance, and it shines with pros like Easy and quick setup, Scales to handle large log volumes, Powerful analytics and visualizations, Flexible pricing options, Good customer support.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
Open Web Analytics (OWA) is an open source web analytics software that allows you to track and analyze traffic on your website. It is designed to be easy to install and use, while providing detailed analytics reports.
Logentries is a log management and analytics platform designed for infrastructure monitoring, application monitoring, and security monitoring. It allows you to collect, analyze, visualize, and alert on log data from servers, networks, and applications.