Home/Open Analytics vs Atlas.new

Open Analytics vs Atlas.new

Side-by-side comparison of features, pros & cons, pricing, and community votes (2026).

🏆 Atlas.new leads with 536 upvotes

Open Analytics
Open Analytics

AI-native Google Analytics alternative for the modern web

0 upvotes📊 Data & AnalyticsAug 2026

Open Analytics is an open-source, privacy-centric analytics platform designed as a modern alternative to Google Analytics. It offers real-time visitor tracking, funnel analysis, and revenue insights through a lightweight, cookieless script that prioritizes user privacy and compliance. Its open-source nature allows for full customization and self-hosting, making it an attractive option for organizations seeking control over their data without sacrificing analytical depth. Built for both humans and AI agents, Open Analytics seamlessly connects with AI tools via MCP, enabling advanced data analysis and automation. Its GDPR-friendly approach, with no need for consent banners, further emphasizes its commitment to privacy and user trust. Suitable for businesses, developers, and privacy-conscious organizations, Open Analytics combines transparency, flexibility, and modern data capabilities in a single package, empowering users to understand their web traffic while maintaining full data sovereignty.

Pros

  • Open-source and self-hostable, ensuring full data control
  • Privacy-first approach with no cookies or consent banners
  • Real-time analytics with lightweight, easy-to-implement scripts
  • Integrates smoothly with AI tools via MCP for enhanced insights
  • GDPR-compliant, suitable for privacy-conscious users

Cons

  • May require technical expertise to set up and maintain
  • Lacks some advanced features found in larger analytics platforms
  • Relatively new, so community and plugin ecosystem may be limited

Best for

  • Organizations seeking a privacy-first alternative to Google Analytics
  • Businesses wanting full control over their data via self-hosting
  • Developers integrating analytics with AI tools for automated insights
  • Websites aiming to comply with GDPR and privacy regulations

Pricing: Open Analytics is open-source and free to use, with optional costs associated with self-hosting infrastructure and maintenance. There are no licensing fees, making it accessible for organizations of all sizes seeking a customizable analytics solution.

Atlas.new
Atlas.new

The AI agent for maps and spatial data

536 upvotes📊 Data & AnalyticsJan 2026

Atlas.new is an innovative SaaS platform designed to simplify the creation, analysis, and deployment of maps and spatial data. Leveraging AI technology, it enables users—regardless of GIS expertise—to build detailed maps, perform complex spatial analysis, and develop custom spatial applications with ease. Its user-friendly interface and AI-driven automation make spatial data accessible to a broad audience, from data scientists to product managers. By removing traditional barriers associated with GIS software, Atlas.new empowers teams to harness geographic insights quickly and efficiently, making it a valuable tool for businesses and developers seeking to integrate spatial intelligence into their workflows. Its community-driven approach, demonstrated by strong ProductHunt votes, underscores its growing popularity and effectiveness in democratizing geospatial data handling.

Pros

  • No specialized GIS skills required, making it accessible to a broad user base
  • AI-powered automation simplifies complex spatial analysis
  • Intuitive interface facilitates quick map creation and customization
  • Supports building and deploying spatial apps seamlessly
  • Strong community support with notable user engagement

Cons

  • May have limitations for highly advanced GIS professionals seeking in-depth tools
  • Pricing details are not explicitly clear, which could affect budget planning
  • Dependent on cloud infrastructure, potentially raising data privacy concerns for sensitive projects

Best for

  • Creating interactive maps for marketing and customer engagement
  • Performing spatial analysis for urban planning and development
  • Building location-based services and features into apps
  • Visualizing demographic or environmental data for research

Pricing: Likely follows a freemium model with free access to basic features and paid plans offering advanced capabilities, larger data limits, or enterprise options. Exact pricing details are not specified but are expected to start around a moderate monthly fee.