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E-commerce ⇄ Database

Easypost to Postgres Heroku integration — real-time, two-way sync

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.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Easypost and Postgres Heroku

Give your engineers Easypost's products, orders, and customers in Postgres Heroku: read them with normal queries, write inventory and prices back through the sync, and skip the storefront API.

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.

Common use cases

  • 01 Keep several Heroku app databases aligned with one system of record
  • 02 Reflect billing and subscription records into the app database so product logic reads local rows
  • 03 Batch-create and buy labels for a day's orders, generate a ScanForm, and write each label and tracking code back into the fulfillment system.
  • 04 When an order is ready to ship in an OMS, ERP, or database, create an EasyPost Shipment, buy the lowest qualifying Rate, and write the label URL and tracking code back onto the order.

Common sync patterns

Controlled write-back

Choose exactly which tables and fields may flow from Postgres Heroku back into Easypost, keeping the store authoritative on what it owns.

Read the store's data with a query

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.

Internal tools and automations without API code

Scripts and services read and write the synced tables; Stacksync handles the Easypost API, rate limits, and retries.

What you can sync between Easypost and Postgres Heroku

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.

How changes propagate between Easypost and Postgres Heroku

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.

Easypost Postgres Heroku Sub-second propagation

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.

Postgres Heroku Easypost Interval-based propagation

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.

Rate-limit considerations

  • Easypost: Fixed 5 requests/second on index (list) endpoints plus a dynamic load-based limiter protecting buy and rate operations; exceeding either returns HTTP 429 Too Many Requests.
  • Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
What ships with Easypost ⇄ Postgres Heroku

Connect Easypost and Postgres Heroku for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Easypost–Postgres Heroku connection.

Real-time

Two-way sync

Changes in Easypost or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Easypost or Postgres Heroku data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Easypost or Postgres Heroku record.

Observability

Monitoring

Track your Easypost ⇄ Postgres Heroku sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Easypost and Postgres Heroku.

How the Easypost and Postgres Heroku connectors work

Easypost

Integration surface
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
Change detection
Webhooks deliver an Event via HTTP POST on object changes (e.g. tracker.updated); historical pulls via list/index endpoints using before_id/after_id cursor pagination
Capabilities
read · write · webhooks
Rate limits
Fixed 5 requests/second on index (list) endpoints plus a dynamic load-based limiter protecting buy and rate operations; exceeding either returns HTTP 429 Too Many Requests
Easypost setup guide

Postgres Heroku

Integration surface
SQL wire protocol (standard PostgreSQL)
Authentication
Database credentials from the Heroku DATABASE_URL config var; SSL required
Change detection
Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings
Capabilities
read · write
Rate limits
No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan
How it works

How to connect Easypost to Postgres Heroku — three steps, no code

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.

  1. 01

    Connect your apps

    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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Easypost connected
    Postgres Heroku connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Easypost ⇄ Postgres Heroku
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Easypost Postgres Heroku
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Easypost and Postgres Heroku integration FAQ

SECURITY

Security teams trust Stacksync

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.

SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

Related integrations

Every pair below is a real-time, two-way sync. Search all 406 integrations available for Easypost and Postgres Heroku.

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