Connector Database / Redshift
Analyze your Redshift data with AI
Build interactive dashboards, generate automated reports, and unlock business intelligence insights from your Redshift data with AI-powered assistant.
_
Start with a question
Generate automated reports and business intelligence insights from your Redshift data—as fast as you can ask them.
Build dashboards and data visualizations
Transform your conversation into dynamic data visualizations on an intuitive data canvas.
Integrate all your data
Unify your Redshift data with DuckDB-powered data warehouse including PostgreSQL, Stripe and MongoDB.
Available Redshift Data
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.
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 Required
Uses your Redshift database username and password to authenticate over a direct PostgreSQL connection
Getting started with
Redshift Analytics & Business Intelligence
Connect your Redshift data
Connect to Redshift once and automatically sync data to your centralized data warehouse for real-time reporting and analytics.
Build business intelligence models
Create automated reports, dashboards, and data visualizations with customizable business logic and AI-powered insights for consistent analytics across your organization.
Generate reports and insights
Create interactive dashboards, automated reports, and data visualizations with AI-powered business intelligence. Share live analytics and scheduled reporting with your team.
Want to see how easy it is to get started?
Redshift usersDefinite
People love Definite because it lets you focus on what matters. Setting up your own data infrastructure doesn't make your beer taste better. Skip the tedium and start at analytics.
I was leading the efforts of setting up a business intelligence function. I was surprised how complex this all was to do even today. It's something that every tech company would need at some point but it hasn't been simplified. You need a whole team focused on building a data warehouse, setting up the right pipelines, and then integrating a BI tool on top.Definite wasn't only the answer to this problem, it tackled the next problem I knew I'd have as soon as the BI tool was ready — how do we get non-technical teams and people to learn and utilise such a tool.
Our analytics before Definite consisted of dozens of Excel sheets that took hours to update. Manual updates led to errors. Everyone questioned the accuracy of the numbers. Many people just stopped looking at the reports.After Definite, everything ran like clockwork.We immediately saved thousands of dollars per month in the time spent updating reports and have built strategies (e.g. improved ROI on ad spend, inventory management, etc.) on the data that will yield millions to our bottom line.
Have questions?
Find answers.
Definite has everything you need to deploy analytics within your company.
Data doesn't need to be so hard
Get the new standard in analytics. Sign up below or get in touch and we'll set you up in under 30 minutes.