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dig data
Self-hosted AI analytics for PostgreSQL, MySQL, MariaDB, or MongoDB with natural language queries
About dig data
dig data is a self-hosted analytics tool that uses AI to interpret plain-language questions about data stored in PostgreSQL, MySQL, MariaDB, or MongoDB. It connects to an existing database and allows users to ask questions without writing SQL, returning answers with the underlying data and business definitions. Teams can build AI-assisted dashboards from repeatable queries and maintain a shared dictionary of agreed-upon terms to ensure consistent interpretations. The tool runs locally via Docker on Linux amd64 or arm64 systems and requires an Anthropic or OpenAI API key for AI processing. All data, accounts, dashboards, and audit records remain on the user’s infrastructure, with only schema and bounded query results sent to the external AI provider. Installation is free and does not require an email address.
Key features
- Natural language data queries
- AI-assisted dashboard creation
- Shared business term dictionary
- Audit logging and access control
- Docker-based deployment
- Schema inspection for query generation
- Result tables with business definitions
- Multi-user collaboration
Use cases
- Team analytics without SQL expertise
- Shared dashboard creation from repeatable queries
- Consistent business term interpretation across teams
Pros
- Supports multiple database types including PostgreSQL, MySQL, MariaDB, and MongoDB
- Self-hosted deployment with data and dashboards stored locally
- AI-assisted natural language queries eliminate need for SQL knowledge
- Allows teams to define and share business terms for consistent AI responses
- Free to install and use with no mandatory email registration
Cons
- Requires Docker Engine or Docker Desktop for installation
- Depends on external AI provider APIs (Anthropic or OpenAI)
- Beta software with version labeled as v0.1.0-beta.12
- No cloud-hosted option available
Frequently asked questions about dig data
What databases does dig data support?
dig data supports PostgreSQL, MySQL, MariaDB, and MongoDB as data sources for AI-assisted analysis and dashboard creation.
How do I install and run dig data?
dig data is installed and run locally via Docker on Linux amd64 or arm64 systems. Users can choose between cloud AI providers (Anthropic or OpenAI) or run a local model using Ollama.
Does dig data require an internet connection after installation?
An internet connection is required during initial setup for model downloads or API key validation, but local AI inference via Ollama operates entirely offline after setup.
Can I use dig data without sending data to external AI providers?
Yes, dig data allows users to run a local AI model with Ollama, ensuring prompts and database context remain on the user's private local network without external transmission.
Is dig data free to use?
dig data is free to install and use, though costs may apply for cloud AI provider usage or local hardware resources when running models.
How does dig data ensure consistent data interpretations for teams?
dig data includes a shared dictionary feature where teams can agree on business definitions for terms, ensuring AI answers align with agreed-upon meanings.
