Two-way sync
Changes in Iterable or SAP ASE (Sybase) instantly reflect in both systems. No stale data, no manual imports.
Keep Iterable and SAP ASE (Sybase) 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 SAP ASE (Sybase), hard to get into campaigns without manual exports.
Stacksync mirrors Export data, Users, Events, Campaigns from Iterable into Tables, Views, Stored Procedures, Databases and Schemas in SAP ASE (Sybase) 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 SAP ASE (Sybase), 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.
Segments computed in SAP ASE (Sybase) 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 SAP ASE (Sybase) beside the matching customer record, ready for reporting and revenue attribution.
A new lead, form fill, or list change in Iterable arrives as a row change in SAP ASE (Sybase), so scoring, jobs, and notifications run in the tooling your team already uses.
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 | SAP ASE (Sybase) objects | How this pairing syncs | |
|---|---|---|---|
| Catalogs Named catalogs of items (products, content) used for personalization and recommendations; items upserted and read via /api/catalogs/{catalogName}/items. | Triggers Server-side hooks sometimes used to populate change-capture tables for syncs. | Catalogs is specific to Iterable and Triggers to SAP ASE (Sybase) — each maps to any object or custom field on the other side. | |
| Commerce / Purchases Purchase and cart activity tracked via /api/commerce/trackPurchase and /api/commerce/updateCart, feeding revenue attribution and abandoned-cart journeys. | Indexes Access paths that keep keyed polling queries efficient on large OLTP tables. | Commerce / Purchases is specific to Iterable and Indexes to SAP ASE (Sybase) — each maps to any object or custom field on the other side. | |
| 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. | Tables The core sync unit; rows are read and written with standard SQL. | Export data is specific to Iterable and Tables to SAP ASE (Sybase) — 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. | Views Read-only projections used to shape data for extraction without touching base tables. | Users is specific to Iterable and Views to SAP ASE (Sybase) — 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}. | Stored Procedures T-SQL routines that encapsulate business logic; often invoked instead of direct table writes. | Events is specific to Iterable and Stored Procedures to SAP ASE (Sybase) — 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. | Databases and Schemas Namespaces that scope sync configuration and permissions. | Campaigns is specific to Iterable and Databases and Schemas to SAP ASE (Sybase) — 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.
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 SAP ASE (Sybase) as a row-level write, with types converted between the two schemas.
DetectionStacksync polls SAP ASE (Sybase) for changes on an incremental schedule, reading only records changed since the previous pass. Timestamp or key-based polling and trigger-based capture.
DeliveryEach detected change is written to Iterable through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Iterable–SAP ASE (Sybase) connection.
Changes in Iterable or SAP ASE (Sybase) instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Iterable or SAP ASE (Sybase) data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Iterable or SAP ASE (Sybase) record.
Track your Iterable ⇄ SAP ASE (Sybase) sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Iterable and SAP ASE (Sybase).
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 Iterable and SAP ASE (Sybase) 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 Iterable and SAP ASE (Sybase) 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 Iterable and SAP ASE (Sybase): authenticate both systems, choose the objects to sync (such as Iterable's Catalogs and Commerce / Purchases), map fields visually, and changes propagate both ways in milliseconds — no code required.
SAP ASE (Sybase): Native log-based replication is delivered through SAP Replication Server rather than an open transaction-log API, so third-party syncs usually rely on polling or triggers. Iterable: Iterable authenticates with an API key in the Api-Key header (also accepted as Api_Key; the name is case-insensitive); keys are scoped by type - Server-side, JavaScript/Web, or Mobile. Stacksync's field mapping accounts for these differences between Iterable and SAP ASE (Sybase) 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 Iterable and SAP ASE (Sybase) records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Iterable and SAP ASE (Sybase) connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Iterable–SAP ASE (Sybase) integration in-house.
Yes — Stacksync ships production-grade connectors for both Iterable and SAP ASE (Sybase). The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection 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. On SAP ASE (Sybase): Timestamp or key-based polling and trigger-based capture; log-based replication requires SAP Replication Server components. 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 426 integrations available for Iterable and SAP ASE (Sybase).