DecisionBox Enterprise vs Atlas.new
Side-by-side comparison of features, pros & cons, pricing, and community votes (2026).
🏆 Atlas.new leads with 536 upvotes

Agent that writes SQL for you to validate database insights
DecisionBox Enterprise stands out as a highly secure, self-hosted AI solution designed for organizations that require autonomous data insights while maintaining complete control over their environment. It leverages open-source base models fine-tuned on specific schemas and runs fully air-gapped, ensuring no data leaves the network. By integrating an LLM via Ollama and supporting features like SSO, RBAC, comprehensive data governance, and audit logging, it caters to enterprise-grade needs for data validation and analysis. Its plugin architecture, built on an open-source AGPL v3 core, offers extensibility without sacrificing security or control. Ideal for data teams and developers seeking a private, customizable AI agent that writes SQL queries to validate insights against their data warehouses, DecisionBox Enterprise combines cutting-edge AI with robust security measures, making it a unique choice for sensitive or regulated environments.
Pros
- Fully air-gapped, ensuring maximum data security and privacy
- Highly customizable with open-source models and plugin architecture
- Supports enterprise features like SSO, RBAC, and comprehensive data governance
- No outbound calls or data leaving the network, maintaining strict control
- Flexible deployment with self-hosted infrastructure
Cons
- Requires technical expertise to set up and maintain
- Limited community or user base due to niche enterprise focus
- Potentially high initial setup time and resource investment
Best for
- • Validating complex database insights without risking data exposure
- • Automating SQL query generation for data validation in regulated industries
- • Internal data analysis for security-sensitive organizations
- • Customizing AI-driven data validation workflows via plugin architecture
Pricing: Likely based on enterprise licensing or subscription models, potentially involving costs for self-hosted infrastructure, support, and customization. Exact pricing details are not publicly specified, but it is expected to be a premium offering tailored to enterprise needs.

The AI agent for maps and spatial data
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.