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Marketing ⇄ Database

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

Keep Iterable and Oracle DB 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 Iterable and Oracle DB

Give your team Iterable's contacts, campaigns, and engagement in Oracle 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 Oracle DB, hard to get into campaigns without manual exports.

Stacksync mirrors Lists, Catalogs, Commerce / Purchases, Export data from Iterable into Schemas, Sequences, PL/SQL procedures and packages, Partitions in Oracle 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 Oracle 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 Expose a curated subset of an on-prem Oracle ERP schema to cloud tools by syncing it to a managed Postgres.
  • 02 Keep legacy Oracle applications running while newer services read and write the same data through a synced copy.
  • 03 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.
  • 04 Push warehouse or CRM audience segments into Iterable as Users via bulkUpdate (up to 1000 per call) and subscribe them to static Lists to drive campaigns.

Common sync patterns

Query Iterable like a database

Contacts, leads, audiences, and campaign metrics from Iterable live in Oracle 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 Oracle 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.

Engagement and results next to the customer

Opens, clicks, sends, RSVPs, or ad activity from Iterable land in Oracle DB beside the matching customer record, ready for reporting and revenue attribution.

What you can sync between Iterable and Oracle DB

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.

Iterable objects Oracle DB objects How this pairing syncs
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. Schemas Per-user namespaces that scope sync permissions and object visibility Export data is specific to Iterable and Schemas to Oracle DB — each maps to any object or custom field on the other side.
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. Sequences Key generators to respect when external systems insert rows Users is specific to Iterable and Sequences to Oracle DB — each maps to any object or custom field on the other side.
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}. PL/SQL procedures and packages In-database logic that can consume or transform synced data Events is specific to Iterable and PL/SQL procedures and packages to Oracle DB — each maps to any object or custom field on the other side.
Campaigns Email, SMS, push, and in-app sends; metadata and metrics read via GET /api/campaigns and /api/campaigns/metrics, created and sent via /api/campaigns/create and /api/campaigns/trigger. Partitions Physical subdivisions relevant when replicating high-volume tables Campaigns is specific to Iterable and Partitions to Oracle DB — each maps to any object or custom field on the other side.
Templates Reusable email/SMS/push/in-app message templates with handlebars fields; read via /api/templates and per-channel get endpoints, written via /api/templates/email/upsert and the other channel upserts. JSON columns Document data stored in the converged engine and synced alongside relational rows Templates is specific to Iterable and JSON columns to Oracle DB — each maps to any object or custom field on the other side.
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. Tables The primary read/write surface for row-level sync over SQL Lists is specific to Iterable and Tables to Oracle DB — each maps to any object or custom field on the other side.

How changes propagate between Iterable and Oracle DB

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.

Iterable Oracle 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 Oracle DB as a row-level write, with types converted between the two schemas.

Oracle DB Iterable Sub-second propagation

DetectionChanges in Oracle DB are captured at the source via change data capture — no polling loop against its API. Log-based CDC from redo logs via LogMiner or GoldenGate, or trigger and timestamp polling.

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

Rate-limit considerations

  • 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.
  • Oracle DB: Throughput bounded by database resources rather than API quotas.
What ships with Iterable ⇄ Oracle DB

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Iterable or Oracle DB 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 Iterable or Oracle DB record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Iterable and Oracle DB connectors work

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.

Oracle DB

Integration surface
SQL wire protocol (Oracle Net) via JDBC, ODBC, and native OCI drivers
Authentication
database username and password; wallets, Kerberos, and directory-based authentication in enterprise setups
Change detection
log-based CDC from redo logs via LogMiner or GoldenGate, or trigger and timestamp polling
Capabilities
read · write · CDC
Rate limits
throughput bounded by database resources rather than API quotas
How it works

How to connect Iterable to Oracle DB — 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 Iterable and Oracle DB 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
    Iterable connected
    Oracle DB connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Iterable and Oracle DB 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 · Iterable ⇄ Oracle DB
    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
    Iterable Oracle DB
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Iterable and Oracle DB 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
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ 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 418 integrations available for Iterable and Oracle DB.

Popular · 8 of 418
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