Do I need a separate data warehouse for my BigCommerce 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 BigCommerce 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 BigCommerce 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 BigCommerce 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 BigCommerce 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/E-commerce

§ Connector

BigCommerce

Analyze your BigCommerce data with AI today.

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

See BigCommerce in Definite →Try it free

Have multiple BigCommerce accounts? Analytics across multiple BigCommerce accounts →

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

§ Live with

§ What you get

Everything BigCommerce exposes, modeled and queryable.

Extracts core BigCommerce ecommerce data including orders (with line items, applied coupons, and shipping addresses), customers, products (Catalog v3), and coupons. This enables analysis of sales performance and order trends, customer cohorts and lifetime value, product catalog and inventory insights, and promotion effectiveness.

Standard on every Definite connector

Sync cadence

Hourly or faster

CDC

Native where supported

Auth

OAuth / API key

Row-level security

Yes

Tables & streams

6 objects

◆Order

Represents ecommerce transactions and their status; enables revenue reporting, average order value, order trends, and fulfillment/refund analysis.

revenue_financeengagement

◆Order Line Item

Item-level purchases within an order; supports SKU-level sales, units, pricing, basket composition, and cross-sell analysis.

revenue_financesales

◆Customer

Represents individual shoppers and their profiles; enables cohort analysis, repeat purchase rates, lifetime value, and segmentation.

revenue_financecustomer

◆Product

Catalog products with metadata, pricing, and inventory-related fields; used to enrich sales for product performance, assortment, and pricing impact analyses.

revenue_financesales

◆Coupon

Discount definitions and their redemptions on orders; supports promotion utilization, lift, discount leakage, and ROI measurement.

revenue_financemarketing

◆Shipping Address

Order shipping destinations and fulfillment details; enables geographic demand mapping, shipping performance, and cost analysis.

revenue_financemarketing

Authentication

Uses a BigCommerce API Client ID and Access Token, along with your Store Hash, to authenticate requests

Requirements

Requires a BigCommerce account to connect.

§ How it works