Two-way sync
Changes in Iterable or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Keep Iterable and TimescaleDB 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 TimescaleDB, hard to get into campaigns without manual exports.
Stacksync mirrors Campaigns, Templates, Lists, Catalogs from Iterable into Schemas, Hypertables, Chunks, Continuous Aggregates in TimescaleDB 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 TimescaleDB, 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.
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 TimescaleDB as ordinary tables or collections, joinable with the rest of your data and reachable without touching the vendor API.
Segments computed in TimescaleDB 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.
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 | TimescaleDB objects | How this pairing syncs | |
|---|---|---|---|
| Commerce / Purchases Purchase and cart activity tracked via /api/commerce/trackPurchase and /api/commerce/updateCart, feeding revenue attribution and abandoned-cart journeys. | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | Commerce / Purchases is specific to Iterable and Regular PostgreSQL Tables to TimescaleDB — 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. | Views Standard SQL views used to shape or filter data for consumers. | Export data is specific to Iterable and Views to TimescaleDB — 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. | Schemas Postgres namespaces used to separate synced datasets by team or environment. | Users is specific to Iterable and Schemas to TimescaleDB — 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}. | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | Events is specific to Iterable and Hypertables to TimescaleDB — 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. | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | Campaigns is specific to Iterable and Chunks to TimescaleDB — 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. | Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | Templates is specific to Iterable and Continuous Aggregates to TimescaleDB — 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 TimescaleDB as a row-level write, with types converted between the two schemas.
DetectionChanges in TimescaleDB are captured at the source via change data capture — no polling loop against its API. Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must.
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–TimescaleDB connection.
Changes in Iterable or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Iterable or TimescaleDB 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 TimescaleDB record.
Track your Iterable ⇄ TimescaleDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Iterable and TimescaleDB.
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 TimescaleDB 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 TimescaleDB 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 TimescaleDB: authenticate both systems, choose the objects to sync (such as Iterable's Commerce / Purchases and Export data), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the TimescaleDB side: Schemas, Hypertables, Chunks, Continuous Aggregates, plus custom fields where TimescaleDB exposes them. On the Iterable side: Campaigns, Templates, Lists, Catalogs. 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 Iterable and TimescaleDB: Keep contact attributes consistent; Query Iterable like a database; Build audiences from your own data. Lifecycle stage, subscription status, or plan maintained on either side stays current on the other, ending exports and dual data entry.
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. TimescaleDB: SQL wire protocol (PostgreSQL). Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.
TimescaleDB: Hypertables automatically partition rows into time-based chunks while inserts and queries target the parent table. 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 TimescaleDB without custom code.
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 389 integrations available for Iterable and TimescaleDB.