Do I need a separate data warehouse for my ChartMogul 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 ChartMogul 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 ChartMogul 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 ChartMogul 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 ChartMogul 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. Request a demo →

Explore with AI

← All connectors/Product Analytics

§ Connector

ChartMogul

Analyze your ChartMogul data with AI today.

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

See ChartMogul in Definite →Try it free

Have multiple ChartMogul accounts? Analytics across multiple ChartMogul accounts →

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

§ Live with

§ What you get

Everything ChartMogul exposes, modeled and queryable.

ChartMogul is a subscription analytics and revenue platform. The connector syncs customer profiles, their billing/lifecycle activities, and pre-aggregated customer-count metrics, enabling subscription revenue (MRR/ARR), churn, and customer-growth analysis.

Standard on every Definite connector

Sync cadence

Hourly or faster

CDC

Native where supported

Auth

Standard

Row-level security

Yes

Tables & streams

3 objects

◆Customer

Subscription customer profiles including company, contact details, billing system source, lead/customer dates, status, and aggregated MRR/value fields; enables segmentation, ARPU/LTV, and active-vs-churned customer analysis.

customerrevenue_finance

◆Customer Activity

Per-customer subscription lifecycle and billing events (new biz, expansion, contraction, churn, reactivation) with dates, types, and MRR-movement amounts; enables MRR-movement breakdowns, churn/expansion analysis, and revenue waterfall reconstruction.

revenue_financecustomer

◆Customer Count Metric

Pre-aggregated time-series of total customer counts sampled at daily, weekly, monthly, and quarterly intervals; enables customer-base growth tracking and net customer trend reporting without re-deriving counts from raw records.

revenue_financecustomer

Domainsrevenue_finance

§ How it works