Two-way sync
Changes in Citus or Easypost instantly reflect in both systems. No stale data, no manual imports.
Keep Citus and Easypost 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 CarrierAccount, Webhook, Shipment, Address from Easypost into Citus and keeps both sides consistent in real time. Whatever Easypost 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 Easypost 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.
Scripts and services read and write the synced tables; Stacksync handles the Easypost API, rate limits, and retries.
Updates in Easypost arrive as row changes in Citus, so jobs and triggers can respond the moment an order, price, or stock level changes.
Prices, stock levels, or product details maintained in Citus sync back onto Easypost, so the storefront shows what your systems treat as true.
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 | Easypost objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Standard Postgres namespaces used to scope what a sync user can read and write. | Address Origin and destination locations; create, retrieve, and list, plus address verification (delivery and residential) to normalize and validate addresses before they are saved downstream. | Schemas is specific to Citus and Address to Easypost — 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. | Parcel Package dimensions and weight (or a predefined_package); created standalone or inline on a Shipment and reused across shipments and batches. | Views is specific to Citus and Parcel to Easypost — each maps to any object or custom field on the other side. | |
| Sequences Key generators that matter when external writes must not collide with application inserts. | Rate Carrier service and price options EasyPost generates on a Shipment; read-only - you select a rate id and buy it, you do not create or edit rates directly. | Sequences is specific to Citus and Rate to Easypost — 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. | Tracker Tracking for a shipment by tracking_code and carrier; create a Tracker to begin tracking, read status and tracking_details, and receive tracker.updated events via webhook as the parcel moves. | Distributed tables is specific to Citus and Tracker to Easypost — 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. | Batch Bulk shipment processing; create a batch, add or remove shipments, buy all labels at once, and generate a consolidated label or ScanForm for the day's orders. | Reference tables is specific to Citus and Batch to Easypost — each maps to any object or custom field on the other side. | |
| Local tables Coordinator-only tables that behave exactly like standard PostgreSQL tables. | CarrierAccount Carrier credentials and settings that control which carriers and negotiated rates are available; create, update, and delete to manage enabled carriers across accounts. | Local tables is specific to Citus and CarrierAccount to Easypost — 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 Easypost through its API, with automatic retries and rate-limit backoff.
DetectionEasypost notifies Stacksync of record changes through webhook events. Webhooks deliver an Event via HTTP POST on object changes (e.g.
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–Easypost connection.
Changes in Citus or Easypost instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Citus or Easypost 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 Easypost record.
Track your Citus ⇄ Easypost sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Citus and Easypost.
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 Easypost 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 Easypost 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 Easypost: authenticate both systems, choose the objects to sync (such as Citus's Schemas and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
Citus: PostgreSQL wire protocol; any standard Postgres driver connects to the coordinator node. Authentication: Database credentials (standard PostgreSQL authentication; managed deployments add cloud IAM options). Easypost: REST API (EasyPost API v2, https://api.easypost.com/v2). Authentication: HTTP Basic auth with the API key as the username and an empty password (Bearer token also accepted); separate Test and Production keys. Stacksync manages authentication, retries, and rate limits on both sides.
Citus: Citus is a PostgreSQL extension, not a fork: clients connect with ordinary Postgres drivers and SQL, and the coordinator routes queries to shards. Easypost: Test and Production API keys are separate: test-mode calls do not create real labels or charges, so integration tests and dry-run backfills should run against the test key before touching production. Stacksync's field mapping accounts for these differences between Citus and Easypost 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 Citus and Easypost records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Citus and Easypost connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Citus–Easypost integration in-house.
Yes — Stacksync ships production-grade connectors for both Citus and Easypost. 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 390 integrations available for Citus and Easypost.