Open Web Analytics vs Wikidata

Struggling to choose between Open Web Analytics and Wikidata? 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, Wikidata is a Online Services product tagged with knowledge-base, structured-data, wikimedia, wikipedia.

Its standout features include Centralized storage of structured data, Supports 300+ languages, Open data that anyone can edit, Query interface to access data, API access to data, Linked open data integrated with other databases, Used by Wikipedia and other Wikimedia projects, and it shines with pros like Free and open access, Community-driven data curation, Multilingual support, Extensive structured knowledge base, Frequent updates and additions, Linked open data increases utility, Wide adoption by major websites.

Feature	Open Web Analytics	Wikidata
Overall Score	N/A	N/A
Primary Category	Business & Commerce	Online Services

Product Overview

Open Web Analytics

Description: 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.

Wikidata

Description: Wikidata is a free and open knowledge base that can be read and edited by both humans and machines. It acts as central storage for the structured data of its Wikimedia sister projects including Wikipedia, Wikivoyage, Wiktionary, Wikisource, and others.

Key Features Comparison

Open Web Analytics Features

• 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

Wikidata Features

• Centralized storage of structured data
• Supports 300+ languages
• Open data that anyone can edit
• Query interface to access data
• API access to data
• Linked open data integrated with other databases
• Used by Wikipedia and other Wikimedia projects

Pros & Cons Analysis

Open Web Analytics

Pros

• 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

Cons

• Less features than commercial solutions
• Requires technical expertise to install and manage
• Limited support options
• Not as user friendly as some tools
• Potential security risks if not updated regularly

Wikidata

Pros

• Free and open access
• Community-driven data curation
• Multilingual support
• Extensive structured knowledge base
• Frequent updates and additions
• Linked open data increases utility
• Wide adoption by major websites

Cons

• Data quality dependent on contributors
• Complex structure has learning curve
• Limited tools for analysis compared to databases
• Less features than commercial knowledge bases
• Some incorrect or incomplete data
• Biases possible from community editing model

Pricing Comparison

Open Web Analytics

• Open Source

Wikidata

• Open Source
• Free