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Integration
MongoDB
Build Interactive Dashboards from MongoDB Data
Dashtera connects to MongoDB so teams can query and visualize data directly from their document database.
Use Dashtera to build dashboards from application records, customer activity, product events, user behavior, transactions, operational data, logs, and other document-based datasets stored in MongoDB.
Instead of exporting MongoDB data into spreadsheets or building custom internal reporting tools, users can connect MongoDB as a data source and turn query results into interactive charts and dashboard panels.
Turn MongoDB Documents Into Visual Insights
Build dashboards from MongoDB collections
Turn MongoDB query results into charts, KPIs, tables, gauges, maps, and interactive dashboards.
Reduce manual reporting work
Avoid repeated exports, spreadsheet preparation, and static reports.
Visualize flexible application data
Analyze users, events, transactions, accounts, sessions, product usage, or operational records stored in MongoDB.
Make NoSQL data easier to understand
Convert document-based data into visual dashboards that can be shared with technical and non-technical teams.
Explore product and customer behavior
Create dashboards for user journeys, customer segments, feature usage, onboarding flows, or account activity.
Create reusable dashboard views
Use MongoDB datasets across multiple visualizations instead of rebuilding reports manually.
How the integration works.
Dashtera’s MongoDB connector allows users to create a connection to a MongoDB database and use query results inside dashboards.
MongoDB stores data in collections made up of flexible documents. These documents are represented in BSON, a binary representation of JSON that supports additional data types beyond standard JSON.Â
Once connected, users can define datasets from MongoDB data and map the results into Dashtera visualizations.
What users can do
Connect to MongoDB databases
Use MongoDB as a Dashtera data source for dashboard creation.
Query document-based data
Create datasets from MongoDB collections and query outputs.
Build dashboard panels
Turn MongoDB data into charts, KPIs, gauges, maps, tables, and other visual components.
Analyze application and operational data
Visualize user activity, events, transactions, product behavior, logs, or internal system data.
Share dashboards with others
Create dashboards that make MongoDB data easier to consume across teams.
Example Use Cases
For product and application teams, MongoDB dashboards can help visualize user activity, feature usage, session behavior, customer events, account status, or application records. Instead of reviewing raw documents or building custom admin panels, teams can create dashboards that make product and customer behavior easier to explore.
For operations and engineering teams, Dashtera can help turn MongoDB-backed data into monitoring and analysis views. This can include backend events, logs, platform activity, service records, or operational workflows stored in MongoDB collections. Dashboards make it easier to identify trends, review activity, and communicate what is happening across application systems.
MongoDB is also useful for semi-structured and evolving data models where records may not always follow the same rigid shape. Dashtera helps teams visualize that data in a more accessible way, turning query outputs into charts, tables, KPIs, and dashboards that can be shared across the organization.
The result is a practical analytics layer on top of MongoDB, see below more interactive project examples built in Dashteara:Â
Technical Details
Dashtera’s MongoDB integration is built for users who want to query document-based data and turn it into dashboard-ready datasets.
Depending on your MongoDB setup, users may need connection information such as connection string or host, port, database name, username and password, when authentication is enabled, collection access and query permissions [read more].
Dashtera is built to handle serious data volumes. Send your query results into Dashtera and let its high-performance visualization engine do the work — rendering large, complex datasets into smooth, interactive dashboards without the lag you expect from traditional BI tools.