Connect DynamoDB to your Definite lakehouse in minutes.
Native sync with row-level security, CDC where supported, and hourly-or-faster freshness. Query it with SQL, build dashboards, or ask Fi.
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.
Tables & streams
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.
Represents individual records stored in DynamoDB tables; supports building analytical datasets, data profiling, and computing business KPIs from operational data.
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.
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.
Requires a DynamoDB account to connect.
Operational data, performance metrics, and business insights.
Three steps. One afternoon.
Authenticate DynamoDB in a few clicks. OAuth, API key, or IAM role — we handle secrets and rotation.
We pull every stream into your lakehouse. CDC where the API supports it; full + incremental otherwise. Hourly-or-faster, row-level secure.
SQL, dashboards, or ask Fi in plain English. Your DynamoDB data lives next to every other source — ready to join.
Build your own with the Definite SDK, or ask us — we add new connectors every week.
