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Database ⇄ Marketing

Amazon DynamoDB to Eloqua integration — real-time, two-way sync

Keep Amazon DynamoDB and Eloqua 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 Amazon DynamoDB and Eloqua

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

Eloqua 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 Amazon DynamoDB, hard to get into campaigns without manual exports.

Stacksync mirrors Contact Lists and Segments, Contacts, Accounts, Custom Data Objects from Eloqua into Global Tables, Time to Live (TTL), Tables, Items in Amazon DynamoDB 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 Amazon DynamoDB, from usage, orders, or account status, sync back into Eloqua to drive campaigns and ads, with Eloqua kept authoritative for engagement. You decide which side owns which fields, and Stacksync resolves conflicts by rules you set.

Common use cases

  • 01 Mirror a high-write DynamoDB table into a relational database so teams can join NoSQL application data against relational tables for reporting.
  • 02 Use DynamoDB Streams as a change-data-capture source to push item INSERT, MODIFY, and REMOVE events into a CRM, search index, or operational database in near-real-time.
  • 03 Load purchase or product-usage records into Custom Data Objects linked to Contacts so nurture campaigns branch on behavior mastered in another system.
  • 04 Add or remove Contacts from shared Contact Lists and Segments based on lifecycle stage computed downstream in a database.

Common sync patterns

React to marketing changes as row changes

A new lead, form fill, or list change in Eloqua arrives as a row change in Amazon DynamoDB, so scoring, jobs, and notifications run in the tooling your team already uses.

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 Eloqua like a database

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

What you can sync between Amazon DynamoDB and Eloqua

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.

Amazon DynamoDB objects Eloqua objects How this pairing syncs
Tables Top-level containers, each with a partition key and optional sort key; Stacksync syncs a table as a stream of items with full read and write via PutItem, UpdateItem, and DeleteItem. Campaigns Multi-step campaign-canvas assets managed through the Application REST API; campaign membership and response data read out for attribution reporting. Tables is specific to Amazon DynamoDB and Campaigns to Eloqua — each maps to any object or custom field on the other side.
Items Individual schemaless records (attributes up to 400 KB each); read with GetItem, Query, and Scan and written with PutItem or BatchWriteItem, so write is supported here. Emails Email creative and email-group assets managed via the Application REST API; usually read for reporting rather than written by a sync. Items is specific to Amazon DynamoDB and Emails to Eloqua — each maps to any object or custom field on the other side.
Global secondary indexes (GSIs) Alternate key projections that let you Query by non-key attributes without a full table Scan; read-only views maintained automatically by DynamoDB. Forms and Form Submits Form definitions and their submission data, accessed through the Application REST API; submissions read out into a warehouse for lead capture and analysis. Global secondary indexes (GSIs) is specific to Amazon DynamoDB and Forms and Form Submits to Eloqua — each maps to any object or custom field on the other side.
Local secondary indexes (LSIs) Extra sort keys within the same partition key, defined at table creation; queried like the base table for alternate access patterns. Contact Lists and Segments Shared lists (static) and segments (dynamic audiences); Contacts are added to or removed from shared lists based on lifecycle stage computed downstream. Local secondary indexes (LSIs) is specific to Amazon DynamoDB and Contact Lists and Segments to Eloqua — each maps to any object or custom field on the other side.
DynamoDB Streams Ordered item-level change records (INSERT, MODIFY, REMOVE) with old/new image views and 24-hour retention; the native change-data-capture source Stacksync reads for near-real-time sync. Contacts Core person records, keyed on email address as the unique identifier; imported/exported via the Bulk API and upserted on email, synced two-way with CRM, warehouse, and app databases. DynamoDB Streams is specific to Amazon DynamoDB and Contacts to Eloqua — each maps to any object or custom field on the other side.
Global Tables Multi-region, active-active replicas of a table kept in sync by DynamoDB; each region is read and written locally with last-writer-wins conflict resolution. Accounts Company records linked to Contacts via the account-linkage field; moved through the Bulk API and typically mastered in a CRM or ERP and written into Eloqua. Global Tables is specific to Amazon DynamoDB and Accounts to Eloqua — each maps to any object or custom field on the other side.

How changes propagate between Amazon DynamoDB and Eloqua

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.

Amazon DynamoDB Eloqua Sub-second propagation

DetectionChanges in Amazon DynamoDB are captured at the source via change data capture — no polling loop against its API. DynamoDB Streams emit ordered item-level change records (INSERT, MODIFY, REMOVE) with KEYS_ONLY, NEW_IMAGE, OLD_IMAGE, or NEW_AND_OLD_IMAGES views.

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

Eloqua Amazon DynamoDB Interval-based propagation

DetectionStacksync polls Eloqua for changes on an incremental schedule, reading only records changed since the previous pass. Polling via Bulk API exports filtered on a contact/account modified-date field using EML filter syntax.

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

Rate-limit considerations

  • Amazon DynamoDB: Throughput is metered in read/write capacity units (provisioned or on-demand): 1 WCU = one 1 KB write per second, 1 RCU = one strongly-consistent 4 KB read per second. Exceeding capacity or the ~3,000 RCU / 1,000 WCU per-partition ceiling returns ProvisionedThroughputExceededException with throttling.
  • Eloqua: Per-instance soft limits by sync type (Export 2,000/hr, Import 2,000/hr, Sync Action 4,000/hr); 32 MB cap per POST to a staging area and 50,000 records per retrieve batch.
What ships with Amazon DynamoDB ⇄ Eloqua

Connect Amazon DynamoDB and Eloqua for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon DynamoDB–Eloqua connection.

Real-time

Two-way sync

Changes in Amazon DynamoDB or Eloqua instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon DynamoDB or Eloqua 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 Amazon DynamoDB or Eloqua record.

Observability

Monitoring

Track your Amazon DynamoDB ⇄ Eloqua sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Amazon DynamoDB and Eloqua.

How the Amazon DynamoDB and Eloqua connectors work

Amazon DynamoDB

Integration surface
AWS SDK / low-level HTTPS JSON API at dynamodb.<region>.amazonaws.com (PutItem, GetItem, UpdateItem, DeleteItem, Query, Scan, BatchWriteItem, TransactWriteItems), plus PartiQL (ExecuteStatement) for SQL-style access and DynamoDB Streams for change capture.
Authentication
AWS Signature Version 4 (SigV4) signed requests using an IAM access key ID and secret key, or temporary STS credentials from an assumed IAM role; IAM policies scope access down to table and item level.
Change detection
DynamoDB Streams emit ordered item-level change records (INSERT, MODIFY, REMOVE) with KEYS_ONLY, NEW_IMAGE, OLD_IMAGE, or NEW_AND_OLD_IMAGES views and 24-hour retention, read via shard iterators (or Kinesis Data Streams for longer retention). No native HTTP webhooks.
Capabilities
read · write · CDC
Rate limits
Throughput is metered in read/write capacity units (provisioned or on-demand): 1 WCU = one 1 KB write per second, 1 RCU = one strongly-consistent 4 KB read per second. Exceeding capacity or the ~3,000 RCU / 1,000 WCU per-partition ceiling returns ProvisionedThroughputExceededException with throttling.

Eloqua

Integration surface
Bulk API 2.0 (contacts, accounts, custom data objects, activities) plus Application REST API (campaigns, emails, forms, lists)
Authentication
OAuth 2.0 (Authorization Code or Resource Owner Password Credentials grant; Client Credentials not supported) or HTTP Basic Auth with siteName + username + password; the instance base URL must first be discovered via the login.eloqua.com/id endpoint
Change detection
Polling via Bulk API exports filtered on a contact/account modified-date field using EML filter syntax; no general-purpose record-change webhook
Capabilities
read · write
Rate limits
Per-instance soft limits by sync type (Export 2,000/hr, Import 2,000/hr, Sync Action 4,000/hr); 32 MB cap per POST to a staging area and 50,000 records per retrieve batch
How it works

How to connect Amazon DynamoDB to Eloqua — 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 Amazon DynamoDB and Eloqua 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
    Amazon DynamoDB connected
    Eloqua connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon DynamoDB and Eloqua 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 · Amazon DynamoDB ⇄ Eloqua
    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
    Amazon DynamoDB Eloqua
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon DynamoDB and Eloqua 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.

Learn more about security
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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 498 integrations available for Amazon DynamoDB and Eloqua.

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