DecisionBox Enterprise vs Livedocs
Side-by-side comparison of features, pros & cons, pricing, and community votes (2026).
🏆 Livedocs leads with 492 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 general data agent
Livedocs is an innovative AI-powered data assistant designed for both technical and non-technical users to effortlessly analyze and visualize their data. By allowing users to upload CSVs, spreadsheets, or connect to databases, it simplifies complex data tasks such as BI, ML, dashboard creation, and coding—all through natural language queries. Its core strength lies in enabling instant insights without the need for SQL, dashboards, or extensive setup, making data analysis accessible to everyone. Whether you're a business executive or a data scientist, Livedocs helps you understand your data quickly and efficiently, leveraging AI to generate charts, metrics, and clear answers on demand. Its user-friendly approach democratizes data analysis, saving time and reducing reliance on specialized technical skills.
Pros
- User-friendly interface accessible to non-technical users
- No setup required—simply upload data and ask questions
- AI-driven insights and visualizations save time
- Supports multiple data sources including CSVs and databases
- Versatile capabilities covering BI, ML, and coding tasks
Cons
- Limited information on advanced customization or integrations
- Potentially less suitable for highly complex or bespoke data workflows
- Pricing details are not explicitly provided, which may impact budgeting
Best for
- • Quick data analysis for business executives
- • Building dashboards without technical expertise
- • Generating insights from raw CSV or database data
- • Exploring data trends for market research
Pricing: Likely operates on a freemium model with free access for basic features and paid plans for advanced capabilities, though specific pricing details are not publicly disclosed.