Deep.BI vs Open Web Analytics

Struggling to choose between Deep.BI and Open Web Analytics? Both products offer unique advantages, making it a tough decision.

Deep.BI is a Business & Commerce solution with tags like data-visualization, dashboards, reports, draganddrop, data-sources, collaboration.

It boasts features such as Drag-and-drop interface for building dashboards, Connect to various data sources like SQL, MongoDB, REST APIs, Interactive visualizations like charts, graphs, maps, and pivot tables, Scheduled and real-time data updates, Collaboration tools for sharing dashboards and insights, Custom styling and branding options, Access control and user management, Mobile optimization and offline mode and pros including Intuitive and easy to use, Great for non-technical users, Affordable pricing, Fast to get started and build dashboards, Integrates with many data sources, Good customization options.

On the other hand, Open Web Analytics is a Business & Commerce product tagged with open-source, web-analytics, traffic-tracking, usage-analytics.

Its standout features include 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 it shines with pros like 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.

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.

Deep.BI

Deep.BI

Deep.BI is a business intelligence and data visualization platform that allows users to connect to various data sources, build interactive dashboards and reports, and share insights. It features drag-and-drop functionality, custom styling options, scheduled updates, and collaboration tools.

Categories:
data-visualization dashboards reports draganddrop data-sources collaboration

Deep.BI Features

  1. Drag-and-drop interface for building dashboards
  2. Connect to various data sources like SQL, MongoDB, REST APIs
  3. Interactive visualizations like charts, graphs, maps, and pivot tables
  4. Scheduled and real-time data updates
  5. Collaboration tools for sharing dashboards and insights
  6. Custom styling and branding options
  7. Access control and user management
  8. Mobile optimization and offline mode

Pricing

  • Freemium
  • Subscription-Based

Pros

Intuitive and easy to use

Great for non-technical users

Affordable pricing

Fast to get started and build dashboards

Integrates with many data sources

Good customization options

Cons

Limited advanced analytics features

Not ideal for large complex datasets

Lacks some enterprise-level capabilities like governance

Mobile app could be improved

Steep learning curve for advanced functionality


Open Web Analytics

Open Web Analytics

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.

Categories:
open-source web-analytics traffic-tracking usage-analytics

Open Web Analytics Features

  1. Open source web analytics software
  2. Easy to install and configure
  3. Tracks website visitors and traffic sources
  4. Provides reports on visits, page views, referrers, search keywords
  5. Customizable dashboards and reporting
  6. Event and goal tracking
  7. Support for A/B testing
  8. API for data export and integration
  9. Works with MySQL, PostgreSQL and MS SQL databases

Pricing

  • Open Source

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