Two-way sync
Changes in IBM Db2 or Iterable instantly reflect in both systems. No stale data, no manual imports.
Keep IBM Db2 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 Db2, hard to get into campaigns without manual exports.
Stacksync mirrors Commerce / Purchases, Export data, Users, Events from Iterable into Tablespaces, Databases, Schemas, Tables in IBM Db2 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 Db2, 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.
A new lead, form fill, or list change in Iterable arrives as a row change in IBM Db2, so scoring, jobs, and notifications run in the tooling your team already uses.
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 Iterable live in IBM Db2 as ordinary tables or collections, joinable with the rest of your data and reachable without touching the vendor API.
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 Db2 objects | Iterable objects | How this pairing syncs | |
|---|---|---|---|
| Stored Procedures Existing business logic sometimes invoked as part of write paths. | Commerce / Purchases Purchase and cart activity tracked via /api/commerce/trackPurchase and /api/commerce/updateCart, feeding revenue attribution and abandoned-cart journeys. | Stored Procedures is specific to IBM Db2 and Commerce / Purchases to Iterable — each maps to any object or custom field on the other side. | |
| Sequences ID generation relevant when external systems insert rows. | 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. | Sequences is specific to IBM Db2 and Export data to Iterable — each maps to any object or custom field on the other side. | |
| Tablespaces Physical storage layout that operators consider when adding synced tables. | 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. | Tablespaces is specific to IBM Db2 and Users to Iterable — each maps to any object or custom field on the other side. | |
| Databases The connection target; each database holds the schemas a sync addresses. | 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}. | Databases is specific to IBM Db2 and Events to Iterable — each maps to any object or custom field on the other side. | |
| Schemas Namespaces separating synced data from application and system objects. | 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. | Schemas is specific to IBM Db2 and Campaigns to Iterable — each maps to any object or custom field on the other side. | |
| Tables Primary read/write target for syncing rows with SaaS systems or other databases. | 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. | Tables is specific to IBM Db2 and Templates 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 Db2 are captured at the source via change data capture — no polling loop against its API. Log-based CDC through IBM's replication tooling where licensed.
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 Db2 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 Db2–Iterable connection.
Changes in IBM Db2 or Iterable instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever IBM Db2 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 Db2 or Iterable record.
Track your IBM Db2 ⇄ Iterable sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between IBM Db2 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 Db2 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 Db2 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 Db2 and Iterable: authenticate both systems, choose the objects to sync (such as IBM Db2's Stored Procedures and Sequences), map fields visually, and changes propagate both ways in milliseconds — no code required.
IBM Db2: IBM provides log-based replication tooling that reads the transaction log for change capture, avoiding query load on source tables. Iterable: Bulk endpoints cap at 1000 records per call - /api/users/bulkUpdate accepts up to 1000 users and /api/events/trackBulk up to 1000 events. Stacksync's field mapping accounts for these differences between IBM Db2 and Iterable without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means IBM Db2 and Iterable records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed IBM Db2 and Iterable connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom IBM Db2–Iterable integration in-house.
Yes — Stacksync ships production-grade connectors for both IBM Db2 and Iterable. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on IBM Db2: Log-based CDC through IBM's replication tooling where licensed; otherwise polling on timestamp or audit columns. 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.
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 412 integrations available for IBM Db2 and Iterable.