Two-way sync
Changes in Easypost or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
Keep Easypost and Postgres Heroku 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 Webhook, Shipment, Address, Parcel from Easypost into Postgres Heroku 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 Postgres Heroku, 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.
Choose exactly which tables and fields may flow from Postgres Heroku back into Easypost, keeping the store authoritative on what it owns.
Records from Easypost, whether products, orders, customers, or inventory, live in Postgres Heroku as ordinary tables or collections, joinable with the rest of your data.
Scripts and services read and write the synced tables; Stacksync handles the Easypost API, rate limits, and retries.
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.
| Easypost objects | Postgres Heroku objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Materialized Views Precomputed result sets synced outward on refresh. | Batch is specific to Easypost and Materialized Views to Postgres Heroku — each maps to any object or custom field on the other side. | |
| CarrierAccount Carrier credentials and settings that control which carriers and negotiated rates are available; create, update, and delete to manage enabled carriers across accounts. | Schemas Namespaces that scope which tables a sync reads and writes. | CarrierAccount is specific to Easypost and Schemas to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Webhook Event subscriptions delivering an Event via HTTP POST on object changes; full CRUD (create, retrieve, list, update, delete) and the mechanism for near-real-time change delivery to Stacksync. | Primary and Unique Keys Match keys for idempotent upserts from connected systems. | Webhook is specific to Easypost and Primary and Unique Keys to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Shipment The central writable object: create with a to/from Address and Parcel, receive Rate options, then buy a label to get postage_label and tracking_code; retrieve and list with cursor pagination. | JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. | Shipment is specific to Easypost and JSONB Columns to Postgres Heroku — each maps to any object or custom field on the other side. | |
| 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. | Sequences Generate surrogate keys for rows created by inbound syncs. | Address is specific to Easypost and Sequences to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Parcel Package dimensions and weight (or a predefined_package); created standalone or inline on a Shipment and reused across shipments and batches. | Follower Databases Heroku-managed read replicas usable as low-impact sync sources. | Parcel is specific to Easypost and Follower Databases to Postgres Heroku — 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.
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 Postgres Heroku as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Postgres Heroku for changes on an incremental schedule, reading only records changed since the previous pass. Trigger-based capture or polling in most configurations.
DeliveryEach detected change is written to Easypost through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Easypost–Postgres Heroku connection.
Changes in Easypost or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Easypost or Postgres Heroku data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Easypost or Postgres Heroku record.
Track your Easypost ⇄ Postgres Heroku sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Easypost and Postgres Heroku.
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 Easypost and Postgres Heroku 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 Easypost and Postgres Heroku 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 Easypost and Postgres Heroku: authenticate both systems, choose the objects to sync (such as Easypost's Batch and CarrierAccount), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Postgres Heroku side: Primary and Unique Keys, JSONB Columns, Sequences, Follower Databases, plus custom fields where Postgres Heroku exposes them. On the Easypost side: Webhook, Shipment, Address, Parcel. 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 Easypost and Postgres Heroku: Controlled write-back; Read the store's data with a query; Internal tools and automations without API code. Choose exactly which tables and fields may flow from Postgres Heroku back into Easypost, keeping the store authoritative on what it owns.
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. Postgres Heroku: SQL wire protocol (standard PostgreSQL). Authentication: Database credentials from the Heroku DATABASE_URL config var; SSL required. Stacksync manages authentication, retries, and rate limits on both sides.
Postgres Heroku: Credentials are managed by Heroku through the DATABASE_URL config var and can rotate, so integrations should tolerate credential changes. Easypost: EasyPost enforces a fixed 5 requests-per-second limit on index (list) endpoints plus a dynamic load-based limiter that protects high-priority buy and rate calls; exceeding either returns HTTP 429 Too Many Requests, so backfills must pace and back off. Stacksync's field mapping accounts for these differences between Easypost and Postgres Heroku 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.
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Every pair below is a real-time, two-way sync. Search all 406 integrations available for Easypost and Postgres Heroku.