Two-way sync
Changes in Iterable or MySQL instantly reflect in both systems. No stale data, no manual imports.
Keep Iterable and MySQL 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 MySQL, hard to get into campaigns without manual exports.
Stacksync mirrors Commerce / Purchases, Export data, Users, Events from Iterable into Databases (Schemas), Tables, Views, Columns in MySQL 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 MySQL, 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 MySQL, 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 MySQL 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.
| Iterable objects | MySQL objects | How this pairing syncs | |
|---|---|---|---|
| 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 The primary sync target; rows map to records in connected systems. | Templates is specific to Iterable and Tables to MySQL — 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. | Views Read-side projections used as outbound sync sources. | Lists is specific to Iterable and Views to MySQL — each maps to any object or custom field on the other side. | |
| Catalogs Named catalogs of items (products, content) used for personalization and recommendations; items upserted and read via /api/catalogs/{catalogName}/items. | Columns Field-level mapping targets with engine-typed values. | Catalogs is specific to Iterable and Columns to MySQL — 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. | Primary and Unique Keys Match keys for idempotent upserts and conflict handling. | Commerce / Purchases is specific to Iterable and Primary and Unique Keys to MySQL — 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. | JSON Columns Validated semi-structured payloads for nested SaaS data. | Export data is specific to Iterable and JSON Columns to MySQL — 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. | Stored Procedures Server-side logic that can post-process synced rows. | Users is specific to Iterable and Stored Procedures to MySQL — 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 MySQL as a row-level write, with types converted between the two schemas.
DetectionChanges in MySQL are captured at the source via change data capture — no polling loop against its API. Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when.
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–MySQL connection.
Changes in Iterable or MySQL instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Iterable or MySQL 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 MySQL record.
Track your Iterable ⇄ MySQL sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Iterable and MySQL.
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 MySQL 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 MySQL 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 MySQL: authenticate both systems, choose the objects to sync (such as Iterable's Templates and Lists), map fields visually, and changes propagate both ways in milliseconds — no code required.
Iterable: 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. MySQL: SQL wire protocol (MySQL client/server protocol). Authentication: Database credentials entered as a connection string or parameters, with optional SSL root certificate upload and optional SSH tunnel (SSH user + SSH host). Stacksync manages authentication, retries, and rate limits on both sides.
MySQL: Composite primary keys are not supported — primary key must be a single column. Iterable: US and EU projects live on separate data centers: api.iterable.com (USDC) versus api.eu.iterable.com (EDC), and a project's key only works against its own region. Stacksync's field mapping accounts for these differences between Iterable and MySQL 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 MySQL records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Iterable and MySQL connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Iterable–MySQL integration in-house.
Yes — Stacksync ships production-grade connectors for both Iterable and MySQL. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 506 integrations available for Iterable and MySQL.