When to Use DynamoDB as a Source Connector

May 2026

The DynamoDB source connector is best when application state already lives in DynamoDB and the team wants a clean path from table items or Streams into analytics-ready destinations.

Short Answer

Use the DynamoDB source connector when DynamoDB is already the operational store and you want to extract table items without inserting a separate export service between the application and the rest of the data stack. It is a good fit for teams that want a straightforward start from one table and region, with the option to evolve into Streams-based CDC later.

A common example is a product team storing accounts, carts, or session-state records in DynamoDB. Skippr can begin with table scans to establish the destination table shape, then move to real-time change capture through DynamoDB Streams when the team is ready to keep a warehouse destination reconciled to current state.

Why Teams Struggle with This

DynamoDB is powerful, but it is easy to underestimate how much the integration depends on table design and IAM. Scan access is enough for a first extract, while CDC requires Streams permissions and a destination that can reconcile mutations cleanly.

• Batch reads need dynamodb:DescribeTable and dynamodb:Scan, which are often missing from least-privilege roles on the first attempt.
• CDC requires DynamoDB Streams permissions in addition to regular table read access.
• If the table design is intentionally denormalized for application access, the downstream analytical shape may still need careful modeling after extraction.
• A custom endpoint such as LocalStack is useful for testing, but production behavior still depends on the real region and table settings.

How Skippr Handles It

Skippr makes DynamoDB a practical source because the initial config is small: table name, region, and optional endpoint URL. That makes it easy to prove the extraction path before you take on real-time CDC behavior.

When you do enable CDC, Skippr pairs the stream with a supported warehouse destination that can maintain exactly-once final state. That keeps the source decision and the destination decision aligned instead of treating them as separate projects.

• Reads directly from a DynamoDB table by name and region.
• Uses the AWS default credential chain instead of a custom auth surface.
• Supports real-time CDC through DynamoDB Streams when cdc_enabled: true is set.
• Works well for a staged adoption path from scans to stream-driven final-state tables.

What the First Useful Version Looks Like

The first useful version is one table, one AWS region, and one downstream destination that proves the item shape and primary key handling are good enough to model.

DynamoDB is a bad fit when the team cannot grant table and Streams permissions, or when the real requirement is to query relational history directly at the source rather than move application items into an analytical system.