Mongo Connector for Confluence embeds results from MongoDB queries directly into Confluence pages as sortable tables. Users can configure query, projection, sort, and limit parameters to present database data to Confluence teams.
Mongo Connector for Confluence is a Databases (SQL, NoSQL, vector, graph) project. It focuses on displaying live MongoDB query results in readable, sortable Confluence pages. It is built as a B2B product for confluence teams that need to present MongoDB data. Mongo Connector for Confluence is available on the web and embeddable surfaces.
Behind Mongo Connector for Confluence is Grovr. Among its 8 catalogued features are MongoDB Queries, Sortable Tables, and Query Parameters. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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