Do I need a separate data warehouse for my DynamoDB 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 DynamoDB 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 DynamoDB 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 DynamoDB 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 DynamoDB 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/Application Database

§ Connector

Amazon DynamoDB

Analyze your DynamoDB data with AI today.

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

See DynamoDB in Definite →Try it free

Have multiple DynamoDB accounts? Analytics across multiple DynamoDB accounts →

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

§ Live with

§ What you get

Everything DynamoDB exposes, modeled and queryable.

Extracts items and metadata from your AWS DynamoDB tables. It auto-discovers tables, can scan full tables, and optionally captures ongoing inserts, updates, and deletes via DynamoDB Streams. This enables analysis of operational NoSQL datasets, building CDC-driven pipelines, and creating historical views from change events.

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

◆Table

Represents a DynamoDB table and its structure, including key schema, item counts, and stream configuration; enables dataset inventory, growth tracking, and modeling partition/primary keys for analytics.

engagementproduct

◆Item

Represents individual records stored in DynamoDB tables; supports building analytical datasets, data profiling, and computing business KPIs from operational data.

supportproduct

◆Change Event

Captures row-level changes (INSERT, MODIFY, REMOVE) via DynamoDB Streams; enables CDC pipelines, near-real-time reporting, change volume trends, and historical reconstruction of data.

salesengagement

Authentication

Authenticates by assuming an IAM role in your AWS account (AWS STS AssumeRole) using your account ID, role name, and an External ID; optionally via a proxy role.

Requirements

Requires a DynamoDB account to connect.

§ How it works