> For the complete documentation index, see [llms.txt](https://docs.glbnxt.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.glbnxt.com/tutorials/guides/dbgate.md). # DBGate DbGate is an open-source, modern cross-platform database management client and web application designed to explore, query, and edit SQL and NoSQL databases. It offers key features such as a visual query designer, master-detail data views, multi-format import/export, and schema comparison—making database administration accessible to both technical teams and non-technical stakeholders without heavy setup overhead. For GLBNXT customers DbGate serves as a crucial bridge for managing and auditing their underlying data layers. Since GLBNXT integrates open-source modules like PostgreSQL, vector databases, and n8n workflows directly into its compliance-focused architecture, DbGate gives customers a secure, self-hosted web UI to inspect table schemas, review automated workflow inputs, and audit AI query histories visually. Ultimately, integrating DbGate into the GLBNXT stack empowers organizations to maintain complete data sovereignty and operational visibility. It provides non-developer teams, compliance managers, and system administrators with a single, user-friendly interface to inspect datasets, run safety checks, and verify AI agent memory without compromising data privacy or breaking EU compliance boundaries. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://docs.glbnxt.com/tutorials/guides/dbgate.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.