Amazon DynamoDB
NoSQL key-value and document database API: read and write items (GetItem, PutItem, Query, Scan, batch and transactional ops, PartiQL), plus table management, backups, exports/imports, TTL, tags, global tables, and contributor insights.
Three ways to use Amazon DynamoDB
Chat with Geni
Ask Geni to pull data, take actions, or answer questions using this integration in a conversation.
Build a workflow
Create automated workflows that trigger on events, run on a schedule, or chain multiple tools together.
Power an app
Use this integration as a data source or action layer behind a dashboard, form, or internal tool.
Supported tools
Actions your AI agents can perform with Amazon DynamoDB.
Batch Execute Statement (PartiQL)
Run up to 25 PartiQL statements as a batch (not transactional).
Batch Get Item
Read up to 100 items across one or more tables in a single call.
Batch Write Item
Put or delete up to 25 items across one or more tables in a single call.
Create Backup
Create an on-demand backup of a table.
Create Global Table
Create a version-2017 global table spanning multiple Regions.
Create Table
Create a new table with a key schema and optional secondary indexes.
Get started automating Amazon DynamoDB
Ready-to-use workflows
Prompts using Amazon DynamoDB
Weekly customer usage brief from your DynamoDB events
Every Monday at 8am, roll up last week's events from DynamoDB, spotlight top movers, at-risk accounts, and silent customers, and email it to you.
Weekday DynamoDB health check in Slack
A quiet morning audit that flags missing backups, stale snapshots, and unusual table growth — and only pings you when something actually needs a look.
Audit failed Stripe payments in DynamoDB with a Slack triage note
When a Stripe charge fails, save the failure to your DynamoDB audit table with duplicate protection and post a Slack triage line that says how worried to be.
Nightly DynamoDB table export to Google Sheets
Every night at 1am, snapshot a DynamoDB table into a Google Sheet so non-technical teammates can slice the data without touching AWS.
