Do I need a separate data warehouse for my Contentful 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 Contentful 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 Contentful 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 Contentful 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 Contentful 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.

Explore with AI

← All connectors/Content & CMS

§ Connector

Contentful

Analyze your Contentful data with AI today.

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

See Contentful in Definite →Try it free

Have multiple Contentful accounts? Analytics across multiple Contentful accounts →

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

§ Live with

§ What you get

Everything Contentful exposes, modeled and queryable.

Extracts content data from Contentful’s Content Delivery API, including published content entries and their content model definitions. Enables analysis of content inventory, structure (fields and validations), metadata and tags, and update timelines across a space’s master environment.

Standard on every Definite connector

Sync cadence

Hourly or faster

CDC

Native where supported

Auth

OAuth / API key

Row-level security

Yes

Tables & streams

3 objects

◆Content Entry

Published content items (e.g., articles, pages, products) with system metadata, fields, and tags; enables analysis of content inventory, freshness and update cadence, taxonomy coverage, and content-type mix across the space.

revenue_financeproduct

◆Content Type

Content model definitions describing fields, validations, and naming; supports schema governance, field usage analysis, and impact assessment of model changes on content production and reporting.

supportengagement

◆Tag

Taxonomy labels applied to entries; used for content segmentation, categorization, and coverage analysis, as well as tracking trends by tag over time using entry timestamps.

revenue_financemarketing

Authentication

Uses a Contentful Delivery API access token from your space, sent as the access_token query parameter

Requirements

Requires a Contentful account to connect.

§ How it works