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Redshift
§ Connector
Amazon Redshift

Analyze your Redshift data with AI today.

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

Have multiple Redshift accounts? Analytics across multiple Redshift accounts →

§ Live with
§ What you get

Everything Redshift exposes, modeled and queryable.

Extracts data directly from your Amazon Redshift data warehouse. It auto-discovers tables, views, columns, and primary keys in chosen schemas, then streams row-level data from those sources. Supports full-table loads and incremental updates using a user-defined replication key (e.g., an updated_at timestamp) with a configurable start date. Enables centralizing warehouse tables for downstream analytics, BI reporting, modeling, and historical backfills.

Standard on every Definite connector
Sync cadence
Hourly or faster
CDC
Native where supported
Auth
OAuth / API key
Row-level security
Yes

Tables & streams

12 objects
user

Core identity records representing individual end-users of the application; supports cohort analysis, activation funnels, retention tracking, and user-level KPI attribution.

account

Organization or company entities that group users under a single billing and permissions boundary; enables account-level revenue analysis, expansion tracking, and segmentation.

subscription

Recurring billing agreements linking accounts to plans; drives MRR/ARR calculations, churn analysis, upgrade/downgrade tracking, and renewal forecasting.

invoice

Billing documents issued for subscription periods or one-time charges; supports revenue recognition, collections analysis, and accounts-receivable reporting.

payment

Individual monetary transactions tied to invoices; enables cash-flow analysis, payment-method mix reporting, failure-rate tracking, and reconciliation.

order

Purchase transactions capturing line items, quantities, and totals; powers GMV reporting, average-order-value analysis, and fulfillment metrics.

product

Catalog items or SKUs available for purchase or subscription; supports product-mix analysis, attach rates, pricing optimization, and inventory tracking.

plan

Pricing tiers or packages that define feature sets and billing amounts; enables plan-distribution analysis, upgrade-path modeling, and pricing experiments.

event

Timestamped application activities such as clicks, page views, and API calls; drives engagement scoring, funnel analysis, and behavioral segmentation.

session

Grouped sequences of user events bounded by inactivity timeouts; supports session-duration analysis, bounce-rate tracking, and conversion-path modeling.

team

Collaborative groups within an account that share workspaces or permissions; enables team-level adoption metrics, seat-utilization analysis, and collaboration tracking.

project

Discrete workstreams or initiatives created by users or teams; supports project-velocity reporting, resource-allocation analysis, and feature-usage attribution.

Authentication

Uses your Redshift database username and password to authenticate over a direct PostgreSQL connection

Requirements

Requires a Redshift account to connect.

Analyze with Fi

Operational data, performance metrics, and business insights.

§ How it works

Three steps. One afternoon.

01
Connect

Authenticate Redshift in a few clicks. OAuth, API key, or IAM role — we handle secrets and rotation.

definite connect redshift
02
Sync

We pull every stream into your warehouse. CDC where the API supports it; full + incremental otherwise. Hourly-or-faster, row-level secure.

→ redshift.raw (synced hourly)
03
Query

SQL, dashboards, or ask Fi in plain English. Your Redshift data lives next to every other source — ready to join.

SELECT * FROM redshift.*
*
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