Integration

Automate get item and put item in Amazon DynamoDB without exports, scripts, or stale data

Integrate Amazon DynamoDB into workflows. Supports Get, Put, Query, Scan, Update, Delete, and Introspect operations on DynamoDB tables.

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7 operations0 triggersAuth: api-key

About Amazon DynamoDB

Amazon DynamoDB is a fully managed NoSQL database service offered by AWS that provides fast and predictable performance with seamless scalability.

What teams automate with Amazon DynamoDB

Get items: Look up items in your tables using primary keys
Put items: Add or replace items in your tables
Query items: Retrieve multiple items using queries across indexes
Scan tables: Read all or part of the data in a table
Update items: Modify specific attributes of existing items
Delete items: Remove records from your tables

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What can you do with the Amazon DynamoDB integration?

What can you do with the Amazon DynamoDB integration? Amazon DynamoDB is a fully managed NoSQL database service offered by AWS that provides fast and predictable performance with seamless scalability. DynamoDB lets you store and retrieve any amount of data and serves any level of request traffic, without the need for you to manage hardware or infrastructure. With DynamoDB, you can: AptlyStar exposes 7 operations so teams can automate end-to-end processes without maintaining brittle scripts.

Automate & integrate Amazon DynamoDB

Compose Amazon DynamoDB with the rest of your stack using visual workflows and agents.

Read & query data

Pull live records, search entities, and keep downstream systems up to date.

Get Item
Query

Create & update Amazon DynamoDB records

Insert, upsert, and patch objects so Amazon DynamoDB workflows stay synchronized automatically.

Update Item

Manage lifecycle

Archive, delete, merge, and reconcile records with guardrails and approvals.

Delete Item

Automate on events

React to webhooks and polling triggers the moment something happens.

Put Item
Scan
Introspect

Amazon DynamoDB analyze & report

Aggregate metrics, export datasets, and feed BI or agent summaries.

Amazon DynamoDB automate on events

React to webhooks and polling triggers the moment something happens.

Build Amazon DynamoDB agents

Ship AI workflows that read, decide, and act on Amazon DynamoDB — with guardrails and human approvals where you need them.

DynamoDB hot-partition watcher

Build a scheduled workflow that pulls DynamoDB CloudWatch metrics, identifies hot partitions and throttled requests, and writes the report to a Slack channel with mitigation suggestions.

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DynamoDB TTL backfill

Create a workflow that scans a DynamoDB table for items missing the TTL attribute, computes the correct TTL based on creation time, and updates in batches with throttling.

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DynamoDB to S3 archive

Build a scheduled workflow that exports DynamoDB items older than the retention horizon to S3 with Parquet partitioning and removes the rows from the table, writing the archive manifest.

Explore templates

DynamoDB change publisher

Create a scheduled workflow that scans a DynamoDB table for items changed since the last run, transforms each into a typed event, and publishes it to an SQS queue for downstream processing.

Explore templates

DynamoDB capacity recommender

Build a scheduled weekly workflow that analyzes DynamoDB capacity consumption, recommends switches between provisioned and on-demand per table, and writes the savings projection to a finance review file.

Explore templates

DynamoDB GSI health audit

Create a scheduled workflow that scans DynamoDB GSIs for skew, low projection efficiency, and unused indexes, and writes a remediation plan to engineering Slack.

Explore templates

Ready to solve your Amazon DynamoDB integration challenges?

Connect Amazon DynamoDB once, then reuse the same blocks across agents, workflows, and templates.

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Challenges AptlyStar solves

Keep Amazon DynamoDB in sync with the rest of your stack

Teams lose hours copying data between Amazon DynamoDB and CRMs, inboxes, and spreadsheets. AptlyStar connects Amazon DynamoDB to 7+ operations so updates flow automatically.

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Scale Amazon DynamoDB automations without custom glue code

One-off scripts break when APIs change. Use visual workflows, retries, and typed blocks so Amazon DynamoDB automations stay maintainable as you grow.

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Give AI agents secure, scoped access to Amazon DynamoDB

Agents need live Amazon DynamoDB context without over-permissioned keys. Connect credentials once, apply guardrails, and let agents act through audited workflow runs.

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Featured Amazon DynamoDB templates

Ready-to-use workflow templates that include Amazon DynamoDB, just like in the app.

DynamoDB hot-partition watcher

Build a scheduled workflow that pulls DynamoDB CloudWatch metrics, identifies hot partitions and throttled requests, and writes the report to a Slack channel with mitigation sugges...

Browse templates

DynamoDB TTL backfill

Create a workflow that scans a DynamoDB table for items missing the TTL attribute, computes the correct TTL based on creation time, and updates in batches with throttling.

Browse templates

DynamoDB to S3 archive

Build a scheduled workflow that exports DynamoDB items older than the retention horizon to S3 with Parquet partitioning and removes the rows from the table, writing the archive man...

Browse templates

DynamoDB change publisher

Create a scheduled workflow that scans a DynamoDB table for items changed since the last run, transforms each into a typed event, and publishes it to an SQS queue for downstream pr...

Browse templates

DynamoDB capacity recommender

Build a scheduled weekly workflow that analyzes DynamoDB capacity consumption, recommends switches between provisioned and on-demand per table, and writes the savings projection to...

Browse templates

DynamoDB GSI health audit

Create a scheduled workflow that scans DynamoDB GSIs for skew, low projection efficiency, and unused indexes, and writes a remediation plan to engineering Slack.

Browse templates