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Database ⇄ Marketing

Dynamo DB to Iterable integration — real-time, two-way sync

Keep Dynamo DB and Iterable in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Dynamo DB and Iterable

Give your team Iterable's contacts, campaigns, and engagement in Dynamo DB: query them with SQL, push audiences built from your own data back to Iterable, and skip the marketing API.

Iterable holds the people, audiences, and campaign activity that marketing runs on, but that data sits behind interfaces built for marketers, not for your internal systems. Engineers and analysts who need contacts, list membership, or engagement, for reporting, attribution, or product logic, end up writing integration code against a rate-limited API and maintaining it forever. Meanwhile the customer and usage data marketers want for targeting already lives in Dynamo DB, hard to get into campaigns without manual exports.

Stacksync mirrors Campaigns, Templates, Lists, Catalogs from Iterable into DynamoDB Streams, Global Tables, Tables, Items in Dynamo DB field by field, in real time, and in both directions. Marketing records become rows your code can query and join with product and customer data; audiences and attributes computed in Dynamo DB, from usage, orders, or account status, sync back into Iterable to drive campaigns and ads, with Iterable kept authoritative for engagement. You decide which side owns which fields, and Stacksync resolves conflicts by rules you set.

Common use cases

  • 01 Replace ad-hoc export scripts with continuous sync driven by DynamoDB Streams.
  • 02 Stream item changes from DynamoDB application tables into a Postgres or warehouse copy for SQL analytics.
  • 03 Write list subscribe/unsubscribe changes from a CRM back into Iterable Lists so suppression and opt-in state stay current before the next send.
  • 04 Two-way sync User profiles and their custom data fields between Iterable and a Postgres database or CRM so attributes and subscription state stay aligned in both systems.

Common sync patterns

Keep contact attributes consistent

Lifecycle stage, subscription status, or plan maintained on either side stays current on the other, ending exports and dual data entry.

Query Iterable like a database

Contacts, leads, audiences, and campaign metrics from Iterable live in Dynamo DB as ordinary tables or collections, joinable with the rest of your data and reachable without touching the vendor API.

Build audiences from your own data

Segments computed in Dynamo DB from product usage, orders, or account status sync into Iterable as lists or audiences, so campaigns and ads target the people your data says they should.

What you can sync between Dynamo DB and Iterable

Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.

Dynamo DB objects Iterable objects How this pairing syncs
Partition and Sort Keys The primary key pair used as the match key for bi-directional sync. Lists Static subscriber lists; read via GET /api/lists and /api/lists/getUsers, with users added or removed via /api/lists/subscribe and /api/lists/unsubscribe to control who receives a send. Partition and Sort Keys is specific to Dynamo DB and Lists to Iterable — each maps to any object or custom field on the other side.
Global Secondary Indexes Alternate access paths used when sync queries filter on non-key attributes. Catalogs Named catalogs of items (products, content) used for personalization and recommendations; items upserted and read via /api/catalogs/{catalogName}/items. Global Secondary Indexes is specific to Dynamo DB and Catalogs to Iterable — each maps to any object or custom field on the other side.
DynamoDB Streams Ordered item-level change records consumed for incremental sync. Commerce / Purchases Purchase and cart activity tracked via /api/commerce/trackPurchase and /api/commerce/updateCart, feeding revenue attribution and abandoned-cart journeys. DynamoDB Streams is specific to Dynamo DB and Commerce / Purchases to Iterable — each maps to any object or custom field on the other side.
Global Tables Multi-region replicas relevant when syncs must read from a specific region. Export data Historical user and event records pulled through the Export API (/api/export/data.json, data.csv, and userEvents) across data types like emailSend, emailOpen, emailClick, emailBounce, purchase, and customEvent. Global Tables is specific to Dynamo DB and Export data to Iterable — each maps to any object or custom field on the other side.
Tables The top-level containers a sync targets; each table is addressed independently. Users User profiles keyed by email or userId with custom data fields; upserted via POST /api/users/update, read via GET /api/users/{email} or getByUserId, bulk-written via /api/users/bulkUpdate (up to 1000 users per call), and deleted or GDPR-forgotten. Tables is specific to Dynamo DB and Users to Iterable — each maps to any object or custom field on the other side.
Items Schemaless records keyed by partition (and optional sort) key, mapped to rows or SaaS objects in syncs. Events Custom and system events tracked via /api/events/track and /api/events/trackBulk (up to 1000 events per call); a single user's event history is read via GET /api/events/{email}. Items is specific to Dynamo DB and Events to Iterable — each maps to any object or custom field on the other side.

How changes propagate between Dynamo DB and Iterable

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

Dynamo DB Iterable Sub-second propagation

DetectionChanges in Dynamo DB are captured at the source via change data capture — no polling loop against its API. Item-level change streams via DynamoDB Streams or Kinesis Data Streams integration.

DeliveryEach detected change is written to Iterable through its API, with automatic retries and rate-limit backoff.

Iterable Dynamo DB Sub-second propagation

DetectionIterable notifies Stacksync of record changes through webhook events. System Webhooks push email/SMS/push/in-app and custom events (send, open, click, bounce, complaint, unsubscribe) as JSON POSTs in near real time.

DeliveryEach detected change is applied to Dynamo DB as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Dynamo DB: Throughput is governed by the table's provisioned or on-demand capacity mode.
  • Iterable: Limits are per endpoint and per project/key; exceeding one returns HTTP 429, so exponential backoff is advised. Event tracking allows far higher volume than metadata endpoints like campaigns/templates, and the Export API is throttled more tightly. Since Nov 10, 2025, passing the key in the query string or body is rate-limited more strictly than the Api-Key header.
What ships with Dynamo DB ⇄ Iterable

Connect Dynamo DB and Iterable for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Dynamo DB–Iterable connection.

Real-time

Two-way sync

Changes in Dynamo DB or Iterable instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Dynamo DB or Iterable data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Dynamo DB or Iterable record.

Observability

Monitoring

Track your Dynamo DB ⇄ Iterable sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Dynamo DB and Iterable.

How the Dynamo DB and Iterable connectors work

Dynamo DB

Integration surface
Proprietary JSON-over-HTTPS API accessed through AWS SDKs; PartiQL supported for SQL-like queries
Authentication
AWS IAM credentials with SigV4 request signing
Change detection
Item-level change streams via DynamoDB Streams or Kinesis Data Streams integration
Capabilities
read · write · CDC
Rate limits
Throughput is governed by the table's provisioned or on-demand capacity mode

Iterable

Integration surface
Iterable REST API (JSON over HTTPS): Users, Events, Campaigns, Templates, Lists, Catalogs, and Commerce endpoints, plus a bulk Export API for historical data
Authentication
API key sent in the Api-Key HTTP header (also accepted as Api_Key; the name is case-insensitive). Keys are scoped by type - Server-side, JavaScript (Web SDK), or Mobile - with optional JWT-enabled keys. US projects use api.iterable.com; EU projects use api.eu.iterable.com.
Change detection
System Webhooks push email/SMS/push/in-app and custom events (send, open, click, bounce, complaint, unsubscribe) as JSON POSTs in near real time; historical backfill and incremental catch-up run through the Export API over a date range.
Capabilities
read · write · webhooks
Rate limits
Limits are per endpoint and per project/key; exceeding one returns HTTP 429, so exponential backoff is advised. Event tracking allows far higher volume than metadata endpoints like campaigns/templates, and the Export API is throttled more tightly. Since Nov 10, 2025, passing the key in the query string or body is rate-limited more strictly than the Api-Key header.
How it works

How to connect Dynamo DB to Iterable — three steps, no code

Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.

  1. 01

    Connect your apps

    Authenticate Dynamo DB and Iterable with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Dynamo DB connected
    Iterable connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Dynamo DB and Iterable objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Dynamo DB ⇄ Iterable
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Dynamo DB Iterable
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Dynamo DB and Iterable integration FAQ

SECURITY

Security teams trust Stacksync

As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.

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→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 410 integrations available for Dynamo DB and Iterable.

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