Do I need a separate data warehouse for my MongoDB data?

No. Definite includes a built-in lakehouse, so you don't need to pay for a separate warehouse like Snowflake, BigQuery, or Redshift. Your MongoDB data syncs into open Parquet storage and is queried by a DuckDB-powered engine for high-performance analytics. Definite handles encrypted, persistent storage behind the scenes with enterprise-grade security, automatic syncing, and backups. You get lightning-fast queries, built-in business intelligence tools, and SOC 2 compliant security, all without the overhead or complexity of running a separate warehouse.

Can I analyze my MongoDB data with other data sources?

Yes. Definite lets you connect and analyze data across all your tools: app databases, CRMs, marketing automation, analytics, and customer support platforms. Our built-in Sync Engine supports 500+ data sources, with options for daily, hourly, or near real-time syncs. You can select metrics and dimensions from your MongoDB data alongside other sources to explore insights, build dashboards, and share results (no SQL needed, unless you want to). Or simply ask Fi, our AI analyst, to find answers, uncover patterns, and instantly create charts and reports for you.

Can Definite connect MongoDB data to tools like Python, SQL, Google Sheets, or Slack?

Yes. Definite integrates seamlessly with the tools you already use. You can run Python scripts for advanced analysis, query your data directly with SQL, or sync results to Google Sheets and Slack for easy sharing. Data can be exported in CSV, Excel, or JSON, accessed via the Metrics API, or embedded directly into your product or internal dashboards. Definite makes it simple to connect, automate, and share insights wherever your team works.

How does Definite's AI actually work?

Definite includes Fi, our AI data analyst that understands your business data and speaks your language. Fi can explore your connected sources, write SQL, and build charts or dashboards in minutes, turning plain-English questions into real analysis. Under the hood, Fi uses Definite's semantic models and query engine to interpret context, generate accurate queries, and explain results clearly. The result: faster insights, fewer bottlenecks, and analytics that finally deliver ROI.

Can I use Definite for free?

Yes. Definite offers a free plan for qualifying startups that includes core analytics, dashboards, and AI insights: everything you need to get started. You can upgrade anytime for more data sources, faster syncs, and advanced automations.

Definite runs as a private deployment in your own cloud (AWS, GCP, Azure, or anywhere with Kubernetes); you keep control of data, compute, and networking. Explore private deployment →

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← All connectors/Application Database

§ Connector · Popular

MongoDB

Analyze your MongoDB data with AI today.

Build dashboards, automate reports, and ask questions in plain English — all from your MongoDB data, no complex infrastructure to maintain.

Watch the demo →Try it free

Have multiple MongoDB accounts? Analytics across multiple MongoDB accounts →

Want it to watch your MongoDB data and act on its own? Meet the MongoDB agent →

§ Live with

§ What you get

Everything MongoDB exposes, modeled and queryable.

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.

Standard on every Definite connector

Sync cadence

Hourly or faster

CDC

Native where supported

Auth

OAuth / API key

Row-level security

Yes

Tables & streams

9 objects

◆User

Represents individual end users or customers; supports segmentation, activation/retention cohorts, lifecycle stage analysis, and LTV calculation.

customerproductengagement

◆Account

Organization or company records that group multiple users; enables account-level health scoring, expansion/contraction analysis, and churn prediction.

customerrevenue_finance

◆Order

Commerce or booking transactions capturing items, amounts, and statuses; used for revenue reporting, AOV, conversion rates, and order lifecycle analysis.

revenue_financecustomer

◆Product

Catalog items or SKUs with attributes and pricing; supports product performance, category mix, margin analysis, and assortment optimization.

revenue_financeproduct

◆Event

Time-stamped behavioral or system events (e.g., clicks, feature usage, logs); enables funnel analysis, engagement metrics, and anomaly detection.

productengagementoperations

◆Session

Aggregations of user activity over a time window; used for session length, frequency, stickiness, and cohort retention analysis.

productengagement

◆Ticket

Support or issue records with statuses and SLAs; supports backlog health, time-to-resolution, agent productivity, and CSAT analysis.

supportcustomer

◆Subscription

Recurring contracts and plans with start/end dates and MRR; enables churn, expansion/contraction, renewal forecasting, and ARR/MRR reporting.

revenue_financecustomer

◆Payment

Invoices, charges, and refunds tied to orders or subscriptions; used for cash collection metrics, DSO, failed payment recovery, and revenue recognition support.

revenue_financecustomer

Authentication

Uses your MongoDB connection URI and credentials (username/password or X.509/TLS) via PyMongo to connect securely to your database

Requirements

Requires a MongoDB account to connect.

Domainsgeneral_dataproduct

§ How it works