Two-way sync
Changes in IBM Informix or Iterable instantly reflect in both systems. No stale data, no manual imports.
Keep IBM Informix 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.
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 IBM Informix, hard to get into campaigns without manual exports.
Stacksync mirrors Catalogs, Commerce / Purchases, Export data, Users from Iterable into Tables, Rows, Views, TimeSeries objects in IBM Informix 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 IBM Informix, 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.
Contacts, leads, audiences, and campaign metrics from Iterable live in IBM Informix as ordinary tables or collections, joinable with the rest of your data and reachable without touching the vendor API.
Segments computed in IBM Informix 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.
Opens, clicks, sends, RSVPs, or ad activity from Iterable land in IBM Informix beside the matching customer record, ready for reporting and revenue attribution.
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.
| IBM Informix objects | Iterable objects | How this pairing syncs | |
|---|---|---|---|
| Tables Relational tables mapped directly to sync targets. | 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}. | Tables is specific to IBM Informix and Events to Iterable — each maps to any object or custom field on the other side. | |
| Rows The unit of read and write, keyed by primary key. | 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. | Rows is specific to IBM Informix and Campaigns to Iterable — each maps to any object or custom field on the other side. | |
| Views Read-only projections used to shape outbound data. | 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. | Views is specific to IBM Informix and Templates to Iterable — each maps to any object or custom field on the other side. | |
| TimeSeries objects Informix's native time-series type, usually exposed to syncs through virtual tables. | 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. | TimeSeries objects is specific to IBM Informix and Lists to Iterable — each maps to any object or custom field on the other side. | |
| Stored procedures Server-side logic sometimes invoked as part of write paths. | Catalogs Named catalogs of items (products, content) used for personalization and recommendations; items upserted and read via /api/catalogs/{catalogName}/items. | Stored procedures is specific to IBM Informix and Catalogs to Iterable — each maps to any object or custom field on the other side. | |
| Logical logs The transaction log that Informix's CDC interface reads committed changes from. | Commerce / Purchases Purchase and cart activity tracked via /api/commerce/trackPurchase and /api/commerce/updateCart, feeding revenue attribution and abandoned-cart journeys. | Logical logs is specific to IBM Informix and Commerce / Purchases to Iterable — 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 IBM Informix are captured at the source via change data capture — no polling loop against its API. Informix's Change Data Capture API reading committed changes from logical logs.
DeliveryEach detected change is written to Iterable through its API, with automatic retries and rate-limit backoff.
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 IBM Informix as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every IBM Informix–Iterable connection.
Changes in IBM Informix or Iterable instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever IBM Informix or Iterable data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single IBM Informix or Iterable record.
Track your IBM Informix ⇄ Iterable sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between IBM Informix and Iterable.
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 IBM Informix 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.
Pick the IBM Informix 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.
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 IBM Informix and Iterable: authenticate both systems, choose the objects to sync (such as IBM Informix's Tables and Rows), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both IBM Informix and Iterable. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on IBM Informix: Informix's Change Data Capture API reading committed changes from logical logs; polling as a fallback. On Iterable: 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the IBM Informix side: Tables, Rows, Views, TimeSeries objects, plus custom fields where IBM Informix exposes them. On the Iterable side: Catalogs, Commerce / Purchases, Export data, Users. 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 IBM Informix and Iterable: Query Iterable like a database; Build audiences from your own data; Engagement and results next to the customer. Contacts, leads, audiences, and campaign metrics from Iterable live in IBM Informix as ordinary tables or collections, joinable with the rest of your data and reachable without touching the vendor API.
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 416 integrations available for IBM Informix and Iterable.