Connector Database / MongoDB
Analyze your MongoDB data with AI
Build interactive dashboards, generate automated reports, and unlock business intelligence insights from your MongoDB data with AI-powered assistant.
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Start with a question
Generate automated reports and business intelligence insights from your MongoDB data—as fast as you can ask them.
Build dashboards and data visualizations
Transform your conversation into dynamic data visualizations on an intuitive data canvas.
Integrate all your data
Unify your MongoDB data with DuckDB-powered data warehouse including MySQL, Quickbooks and Salesforce.
Available MongoDB Data
Extracts documents from MongoDB across all accessible databases and collections. Supports automatic discovery, three schema strategies (raw passthrough, envelope, and sample-based inference), optional schema flattening, and incremental syncs via a user-defined replication key. Enables centralizing application data, logs, and event documents from MongoDB for analytics, warehousing, and historical trend analysis.
User
Represents individual end users or customers; supports segmentation, activation/retention cohorts, lifecycle stage analysis, and LTV calculation.
Account
Organization or company records that group multiple users; enables account-level health scoring, expansion/contraction analysis, and churn prediction.
Order
Commerce or booking transactions capturing items, amounts, and statuses; used for revenue reporting, AOV, conversion rates, and order lifecycle analysis.
Product
Catalog items or SKUs with attributes and pricing; supports product performance, category mix, margin analysis, and assortment optimization.
Event
Time-stamped behavioral or system events (e.g., clicks, feature usage, logs); enables funnel analysis, engagement metrics, and anomaly detection.
Session
Aggregations of user activity over a time window; used for session length, frequency, stickiness, and cohort retention analysis.
Ticket
Support or issue records with statuses and SLAs; supports backlog health, time-to-resolution, agent productivity, and CSAT analysis.
Subscription
Recurring contracts and plans with start/end dates and MRR; enables churn, expansion/contraction, renewal forecasting, and ARR/MRR reporting.
Payment
Invoices, charges, and refunds tied to orders or subscriptions; used for cash collection metrics, DSO, failed payment recovery, and revenue recognition support.
Authentication Required
Uses your MongoDB connection URI and credentials (username/password or X.509/TLS) via PyMongo to connect securely to your database
Getting started with
MongoDB Analytics & Business Intelligence
Connect your MongoDB data
Connect to MongoDB once and automatically sync data to your centralized data warehouse for real-time reporting and analytics.
Build business intelligence models
Create automated reports, dashboards, and data visualizations with customizable business logic and AI-powered insights for consistent analytics across your organization.
Generate reports and insights
Create interactive dashboards, automated reports, and data visualizations with AI-powered business intelligence. Share live analytics and scheduled reporting with your team.
Want to see how easy it is to get started?
MongoDB usersDefinite
People love Definite because it lets you focus on what matters. Setting up your own data infrastructure doesn't make your beer taste better. Skip the tedium and start at analytics.
I was leading the efforts of setting up a business intelligence function. I was surprised how complex this all was to do even today. It's something that every tech company would need at some point but it hasn't been simplified. You need a whole team focused on building a data warehouse, setting up the right pipelines, and then integrating a BI tool on top.Definite wasn't only the answer to this problem, it tackled the next problem I knew I'd have as soon as the BI tool was ready — how do we get non-technical teams and people to learn and utilise such a tool.
Our analytics before Definite consisted of dozens of Excel sheets that took hours to update. Manual updates led to errors. Everyone questioned the accuracy of the numbers. Many people just stopped looking at the reports.After Definite, everything ran like clockwork.We immediately saved thousands of dollars per month in the time spent updating reports and have built strategies (e.g. improved ROI on ad spend, inventory management, etc.) on the data that will yield millions to our bottom line.
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