Two-way sync
Changes in Citus or Shipwire instantly reflect in both systems. No stale data, no manual imports.
Keep Citus and Shipwire in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
E-commerce data sits behind an API built for the storefront, not for your internal systems. Teams that need those records, for order routing, inventory logic, reporting, or back-office tools, end up writing integration code against a rate-limited API and maintaining it through every catalog change and platform upgrade.
Stacksync mirrors Returns, Purchase Orders, Trackings, Rates from Shipwire into Citus and keeps both sides consistent in real time. Whatever Shipwire holds, whether products, orders, customers, or inventory, those records become rows your code can query, and changes written in Citus, such as new prices, stock levels, or fulfillment status, sync back into Shipwire with its validations respected.
Merchandising and operations keep working in the storefront, engineers keep working in the database, and neither side has to reconcile against a nightly export.
Orders and their status become rows in Citus for routing, fulfillment, and reporting, without polling the platform.
Choose exactly which tables and fields may flow from Citus back into Shipwire, keeping the store authoritative on what it owns.
Records from Shipwire, whether products, orders, customers, or inventory, live in Citus as ordinary tables or collections, joinable with the rest of your data.
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.
| Citus objects | Shipwire objects | How this pairing syncs | |
|---|---|---|---|
| Sequences Key generators that matter when external writes must not collide with application inserts. | Orders B2C fulfillment orders (create, update, cancel, get) with item, hold, routing, and tracking subresources; typically written from a storefront or ERP and synced back with status and trackings. | Sequences is specific to Citus and Orders to Shipwire — each maps to any object or custom field on the other side. | |
| Distributed tables Tables sharded across worker nodes by a distribution column; the main sync target for large datasets. | Products Catalog SKUs including kits, virtual kits, and marketplace products; created and edited via API, commonly mastered in a PIM or ERP and pushed into Shipwire with dimensions and pricing. | Distributed tables is specific to Citus and Products to Shipwire — each maps to any object or custom field on the other side. | |
| Reference tables Small lookup tables replicated to every node, synced like ordinary Postgres tables. | Stock Real-time per-warehouse inventory levels; read-only, pulled into a database or storefront so availability reflects on-hand and backordered quantities. | Reference tables is specific to Citus and Stock to Shipwire — each maps to any object or custom field on the other side. | |
| Local tables Coordinator-only tables that behave exactly like standard PostgreSQL tables. | Receivings Inbound advance ship notices (ASNs) from suppliers; created and updated via API and reconciled against Purchase Orders as inventory arrives at a warehouse. | Local tables is specific to Citus and Receivings to Shipwire — each maps to any object or custom field on the other side. | |
| Schemas Standard Postgres namespaces used to scope what a sync user can read and write. | Returns Return orders raised against existing Orders; created via API and read back into support or analytics systems for reverse-logistics tracking. | Schemas is specific to Citus and Returns to Shipwire — each maps to any object or custom field on the other side. | |
| Views Curated projections over distributed data, often used as read-only sync sources. | Purchase Orders B2B orders with retailer-specific routing and compliance fields; managed via API alongside receivings for wholesale and marketplace fulfillment. | Views is specific to Citus and Purchase Orders to Shipwire — 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 Citus are captured at the source via change data capture — no polling loop against its API. PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres.
DeliveryEach detected change is written to Shipwire through its API, with automatic retries and rate-limit backoff.
DetectionShipwire notifies Stacksync of record changes through webhook events. Webhooks (HMAC-SHA256 signed, near real-time) on order, tracking, stock, receiving, return, and product topics.
DeliveryEach detected change is applied to Citus as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Citus–Shipwire connection.
Changes in Citus or Shipwire instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Citus or Shipwire data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Citus or Shipwire record.
Track your Citus ⇄ Shipwire sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Citus and Shipwire.
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 Citus and Shipwire 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 Citus and Shipwire 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 Citus and Shipwire: authenticate both systems, choose the objects to sync (such as Citus's Sequences and Distributed tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Citus and Shipwire. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Citus: PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres. On Shipwire: Webhooks (HMAC-SHA256 signed, near real-time) on order, tracking, stock, receiving, return, and product topics; polling the list endpoints as a fallback (no CDC/log stream). Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Citus side: Schemas, Views, Sequences, Distributed tables, plus custom fields where Citus exposes them. On the Shipwire side: Returns, Purchase Orders, Trackings, Rates. 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 Citus and Shipwire: Order data where your code can use it; Controlled write-back; Read the store's data with a query. Orders and their status become rows in Citus for routing, fulfillment, and reporting, without polling the platform.
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 390 integrations available for Citus and Shipwire.