Is Definite a data warehouse for my Amazon Aurora data?

Yes. Definite is your complete data warehouse for Amazon Aurora data—no need to pay for Snowflake, BigQuery, or Databricks. Definite syncs your data into secure, managed infrastructure, powered by DuckDB 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 data residency options—all without the overhead or complexity of running a separate warehouse.

Can I analyze my Amazon Aurora data with other data sources?

Yes. Definite lets you connect and analyze data across all your tools — from app databases and CRMs to marketing automation, analytics, and customer support platforms. Our built-in Sync Engine supports over 500+ data sources, with options for daily, hourly, or near real-time. Definite makes analysis easy. You can select metrics and dimensions from your Amazon Aurora 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 Amazon Aurora 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.

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← All connectors/Database

§ Connector

Aurora

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§ Live with

§ What you get

Everything Amazon Aurora exposes, modeled and queryable.

Extracts tables and views from an Amazon Aurora cluster across one or more schemas. Aurora PostgreSQL works with this Postgres connector; Aurora MySQL connects through the MySQL connector. Supports full-table loads, incremental replication, and log-based CDC, centralizing Aurora's operational data for analytics and BI.

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.

customerproductengagement

◆account

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

customerrevenue_finance

◆subscription

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

revenue_financecustomer

◆invoice

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

revenue_finance

◆payment

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

revenue_financecustomer

◆order

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

revenue_financecustomer

◆product

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

revenue_financeproduct

◆plan

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

revenue_financeproduct

◆event

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

productengagementoperations

◆session

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

productengagement

◆team

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

customeroperations

◆project

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

operationsproduct

Authentication

Authenticates to your Aurora cluster endpoint with a database user and password, over SSL. Aurora MySQL clusters connect through the generic MySQL connector.

Requirements

Requires an Amazon Aurora cluster (PostgreSQL- or MySQL-compatible) with a database user.

Analyze with Fi

Relational data, transactional records, and business metrics.

Domainsgeneral_dataoperations

§ How it works