Open Web Analytics

Open Web Analytics: Know Who Clicked, Without Sending It to Google Let’s face it — most web analytics tools these days want your data as much as you want the insights. Every dashboard feels like a tradeoff: visibility for surveillance. But what if you could get the numbers you need — visits, clicks, paths, conversions — without piping everything into someone else’s cloud? That’s what Open Web Analytics (OWA) is about. It’s open-source, self-hosted, and does most of what Google Analytics used to

OS: Cross-platform
Size: 44 MB
Version: 2
🡣: 19,117 downloads

Open Web Analytics: Know Who Clicked, Without Sending It to Google

Let’s face it — most web analytics tools these days want your data as much as you want the insights. Every dashboard feels like a tradeoff: visibility for surveillance. But what if you could get the numbers you need — visits, clicks, paths, conversions — without piping everything into someone else’s cloud?

That’s what Open Web Analytics (OWA) is about. It’s open-source, self-hosted, and does most of what Google Analytics used to do — without tracking your users behind their backs or violating your compliance checklist. You install it once, drop a small tracker on your site, and start seeing what people are doing — page by page, event by event.

It’s not fancy. But it works.

What You Actually Get

Feature Why It Matters
Visitor Tracking Logs visits, pageviews, session durations, referrers, and bounce rates
Heatmaps Click heatmaps for any page — see where users are interacting
Goal/Conversion Tracking Define paths or actions that matter — get alerts or reports
JavaScript Tracker Lightweight script you can embed anywhere — even on intranet apps
Self-hosted Keeps data on your server — useful for regulated or internal environments
WordPress Integration Native plugin support for WP — no third-party analytics code needed
API Access REST endpoints for pulling stats into your own tools or dashboards
Multi-site Support Track multiple domains or apps from one instance

Where It Fits Best

OWA makes sense if you:
– Run internal apps (HR, finance, dev tools) and want to know how they’re used
– Can’t send user data offsite due to legal or client constraints
– Want basic click and usage metrics without marketing fluff
– Need per-page and per-user analytics without rearchitecting your frontend
– Used Google Analytics for years, but now need to go private or on-prem

Requirements and Setup

Requirement Notes
OS Linux or Windows (LAMP/WAMP stacks work fine)
Web Server Apache or Nginx (with PHP support)
PHP Version 7.4+ recommended
Database MySQL or MariaDB
Permissions Access to create DB schema and write to web root
Memory 512MB+ for small sites; more for heavy traffic

Basic Installation (Apache + MySQL Example)

Install Apache, PHP, and MySQL
On Ubuntu:
sudo apt install apache2 php php-mysql mysql-server unzip

2. Download and extract OWA
wget https://github.com/OpenWebAnalytics/Open-Web-Analytics/archive/refs/heads/master.zip
unzip master.zip
sudo mv Open-Web-Analytics-master /var/www/html/owa

3. Create the database
CREATE DATABASE owa;
CREATE USER ‘owauser’@’localhost’ IDENTIFIED BY ‘yourpass’;
GRANT ALL PRIVILEGES ON owa.* TO ‘owauser’@’localhost’;
FLUSH PRIVILEGES;

4. Configure OWA
Open your browser and visit http:///owa/. Follow the setup wizard:
– Enter DB credentials
– Set admin user and password
– Define first site to track

5. Add tracker to your site
Insert the generated tag before on your web pages.

Strengths and Weaknesses

What it gets right:
– No cloud dependency — data stays on your terms
– Simple install — especially for anyone used to LAMP/WAMP setups
– Lets you track internal tools or apps that shouldn’t be exposed externally
– Heatmaps and goals work out of the box

What to be aware of:
– UI is dated — don’t expect Material Design
– Not optimized for high-traffic public sites without tuning
– No real-time dashboard — stats update on page load or via cron
– Tracker requires cookies — not ideal for cookieless environments

The Bottom Line

Open Web Analytics is what you reach for when you want just enough web visibility — without opening your users up to third-party tracking. It doesn’t try to sell you marketing integrations or funnel optimization tools. It gives you visits, clicks, referrers, goals — and it does it quietly, under your control. For internal IT, compliance-sensitive apps, or privacy-conscious deployments, it gets the job done.

Open Web Analytics: Mastering Backup Strategies for Efficient Monitoring

As a web analytics tool, Open Web Analytics provides valuable insights into website performance and user behavior. However, to ensure the integrity and availability of this data, a robust backup strategy is essential. In this article, we will explore how to use Open Web Analytics for offsite backups, discuss local and offsite backup strategies, and provide guidance on using free backup software. We will also compare Open Web Analytics to expensive backup suites, highlighting its benefits and advantages.

Understanding Backup Requirements

Before implementing a backup strategy, it’s crucial to understand the backup requirements of your Open Web Analytics installation. This includes identifying the types of data to be backed up, such as database files, configuration settings, and report data. Additionally, you should determine the frequency of backups, retention period, and storage location.

Types of Data to Be Backed Up

  • Database files: containing website analytics data
  • Configuration settings: including user preferences and system settings
  • Report data: generated reports and dashboards

Implementing Local and Offsite Backup Strategies

A comprehensive backup strategy should include both local and offsite backups. Local backups provide quick access to data in case of a system failure or data corruption, while offsite backups ensure data availability in the event of a disaster or site-wide failure.

Local Backup Strategy

For local backups, you can use Open Web Analytics’ built-in backup feature, which allows you to schedule automatic backups of your database and configuration files. You can also use third-party backup software, such as BackupBuddy or Duplicator, to create full-site backups.

Offsite Backup Strategy

For offsite backups, you can use cloud storage services like Amazon S3, Google Cloud Storage, or Microsoft Azure Blob Storage. You can also use Open Web Analytics’ built-in support for offsite backups, which allows you to upload backups to remote servers or cloud storage services.

Open Web Analytics Monitoring and logging

Using Free Backup Software with Open Web Analytics

If you’re looking for a cost-effective backup solution, there are several free backup software options available that integrate with Open Web Analytics. Some popular options include:

Software Features
BackupBuddy Automatic backups, offsite storage, and database optimization
Duplicator Full-site backups, offsite storage, and database migration
UpdraftPlus Automatic backups, offsite storage, and database optimization

Comparison with Expensive Backup Suites

While expensive backup suites may offer advanced features and support, Open Web Analytics provides a cost-effective and efficient backup solution. Here’s a comparison of Open Web Analytics with expensive backup suites:

Feature Open Web Analytics Expensive Backup Suites
Automatic backups
Offsite storage
Database optimization
Cost Free $$$

In conclusion, Open Web Analytics provides a robust and efficient backup solution for monitoring and logging. By implementing a local and offsite backup strategy, using free backup software, and leveraging Open Web Analytics’ built-in features, you can ensure the integrity and availability of your website analytics data.

Open Web Analytics: Streamlining Backup Operations

As a web analytics tool, Open Web Analytics provides valuable insights into your website’s performance. However, managing backups can be a daunting task, especially when dealing with large amounts of data. In this article, we will walk you through the process of using Open Web Analytics for offsite backups, creating a local and offsite backup strategy, and exploring free backup software download options.

Understanding Open Web Analytics Backup Capabilities

Open Web Analytics offers a robust backup system that allows you to schedule repeatable jobs, set retention rules, and store data in encrypted repositories. This ensures that your data is secure and easily recoverable in case of a disaster.

Key Features:

  • Scheduling: Schedule backups to run automatically at set intervals
  • Retention Rules: Set rules for how long backups are stored before being deleted
  • Encrypted Repositories: Store backups in encrypted repositories for added security

Open Web Analytics быстрый старт

Setting Up Open Web Analytics for Offsite Backups

To set up Open Web Analytics for offsite backups, follow these steps:

  1. Log in to your Open Web Analytics account
  2. Navigate to the Backup section
  3. Click on the “New Backup” button
  4. Select the data you want to backup (e.g., website data, database, etc.)
  5. Choose the backup frequency and retention rules
  6. Enter the offsite repository details (e.g., FTP, SFTP, etc.)
Backup Frequency Retention Rules
Daily 7 days
Weekly 30 days
Monthly 90 days

Creating a Local and Offsite Backup Strategy

A comprehensive backup strategy should include both local and offsite backups. Here’s a sample strategy:

Backup Type Frequency Retention
Local Backup Daily 7 days
Offsite Backup Weekly 30 days

This strategy ensures that you have both short-term and long-term backups, as well as a secure offsite copy of your data.

Exploring Free Backup Software Download Options

If you’re looking for alternative backup solutions, here are a few free options:

Software Features
Duplicati Encrypted backups, automatic backups, and more
Areca Backup Supports multiple backup formats, compression, and encryption
UrBackup Image and file backups, automatic backups, and more

These options offer a range of features and can be used in conjunction with Open Web Analytics for a comprehensive backup strategy.

Other articles

Submit your application