Two-way sync
Changes in Amazon RDS or Eloqua instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon RDS 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.
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 RDS, hard to get into campaigns without manual exports.
Stacksync mirrors Forms and Form Submits, Contact Lists and Segments, Contacts, Accounts from Eloqua into Primary and Unique Keys, Read Replicas, Stored Procedures, Databases in Amazon RDS 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 RDS, 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.
Lifecycle stage, subscription status, or plan maintained on either side stays current on the other, ending exports and dual data entry.
Contacts, leads, audiences, and campaign metrics from Eloqua live in Amazon RDS as ordinary tables or collections, joinable with the rest of your data and reachable without touching the vendor API.
Segments computed in Amazon RDS from product usage, orders, or account status sync into Eloqua as lists or audiences, so campaigns and ads target the people your data says they should.
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 RDS objects | Eloqua objects | How this pairing syncs | |
|---|---|---|---|
| Primary and Unique Keys Match keys for idempotent upserts. | 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. | Primary and Unique Keys is specific to Amazon RDS and Forms and Form Submits to Eloqua — each maps to any object or custom field on the other side. | |
| Read Replicas Low-impact read endpoints often used as the source side of a sync. | 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. | Read Replicas is specific to Amazon RDS and Contact Lists and Segments to Eloqua — each maps to any object or custom field on the other side. | |
| Stored Procedures Engine-specific logic that can react to synced rows. | 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. | Stored Procedures is specific to Amazon RDS and Contacts to Eloqua — each maps to any object or custom field on the other side. | |
| Databases Engine-level databases on the instance that scope a sync's reads and writes. | 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. | Databases is specific to Amazon RDS and Accounts to Eloqua — each maps to any object or custom field on the other side. | |
| Schemas Namespaces within a database used to isolate synced tables. | Custom Data Objects Auxiliary data tables (CDOs) linked to Contacts for records like event registrations or purchases; synced via the Bulk API so nurture campaigns can branch on them. | Schemas is specific to Amazon RDS and Custom Data Objects to Eloqua — each maps to any object or custom field on the other side. | |
| Tables The core sync target; rows map to records in connected SaaS systems. | Activities Engagement events (email opens, clicks, form submits, bounces, page views, subscribes/unsubscribes) exported through the Bulk API activities export; read-only feed for scoring and attribution. | Tables is specific to Amazon RDS and Activities to Eloqua — each maps to any object or custom field on the other side. |
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.
DetectionChanges in Amazon RDS are captured at the source via change data capture — no polling loop against its API. Engine-native log-based CDC: MySQL/MariaDB binlog, PostgreSQL logical replication, SQL Server CDC.
DeliveryEach detected change is written to Eloqua through its API, with automatic retries and rate-limit backoff.
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 RDS as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon RDS–Eloqua connection.
Changes in Amazon RDS or Eloqua instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon RDS or Eloqua data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Amazon RDS or Eloqua record.
Track your Amazon RDS ⇄ Eloqua sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon RDS and Eloqua.
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.
Authenticate Amazon RDS 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.
Pick the Amazon RDS 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Amazon RDS and Eloqua: authenticate both systems, choose the objects to sync (such as Amazon RDS's Primary and Unique Keys and Read Replicas), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Amazon RDS side: Primary and Unique Keys, Read Replicas, Stored Procedures, Databases, plus custom fields where Amazon RDS exposes them. On the Eloqua side: Forms and Form Submits, Contact Lists and Segments, Contacts, Accounts. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Amazon RDS and Eloqua: Keep contact attributes consistent; Query Eloqua like a database; Build audiences from your own data. Lifecycle stage, subscription status, or plan maintained on either side stays current on the other, ending exports and dual data entry.
Amazon RDS: SQL wire protocol of the chosen engine (PostgreSQL, MySQL, MariaDB, SQL Server, Oracle). Authentication: Database credentials over SSL/TLS, or IAM database authentication on supported engines. Eloqua: 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. Stacksync manages authentication, retries, and rate limits on both sides.
Amazon RDS: RDS is a managed hosting layer, not a separate API: clients connect with standard engine drivers at the instance endpoint. Eloqua: Activity data (opens, clicks, form submits, bounces, page views) is export-only, so engagement history is read out of Eloqua but not written back. Stacksync's field mapping accounts for these differences between Amazon RDS and Eloqua without custom code.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 414 integrations available for Amazon RDS and Eloqua.