Skip to content
Database ⇄ E-commerce

Amazon Aurora to Easypost integration — real-time, two-way sync

Keep Amazon Aurora 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.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

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

Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Amazon Aurora and Easypost

Give your engineers Easypost's products, orders, and customers in Amazon Aurora: 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 Tracker, Batch, CarrierAccount, Webhook from Easypost into Amazon Aurora 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 Amazon Aurora, 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 Stream row-level changes from Aurora into a warehouse for near-real-time analytics without batch exports.
  • 02 Consolidate several Aurora clusters into one reporting database.
  • 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

Order data where your code can use it

Orders and their status become rows in Amazon Aurora for routing, fulfillment, and reporting, without polling the platform.

Controlled write-back

Choose exactly which tables and fields may flow from Amazon Aurora 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 Amazon Aurora as ordinary tables or collections, joinable with the rest of your data.

What you can sync between Amazon Aurora and Easypost

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.

Amazon Aurora objects Easypost objects How this pairing syncs
Read Replicas Reader endpoints that syncs can target to keep load off the writer. 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. Read Replicas is specific to Amazon Aurora and Rate to Easypost — each maps to any object or custom field on the other side.
Databases Logical databases within a cluster that scope a sync connection. 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. Databases is specific to Amazon Aurora and Tracker to Easypost — each maps to any object or custom field on the other side.
Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. 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. Schemas is specific to Amazon Aurora and Batch to Easypost — each maps to any object or custom field on the other side.
Tables Relational tables synced bi-directionally at row level. CarrierAccount Carrier credentials and settings that control which carriers and negotiated rates are available; create, update, and delete to manage enabled carriers across accounts. Tables is specific to Amazon Aurora and CarrierAccount to Easypost — each maps to any object or custom field on the other side.
Views Read-only query-backed sources for downstream syncs. 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. Views is specific to Amazon Aurora and Webhook to Easypost — each maps to any object or custom field on the other side.
Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. 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. Materialized Views is specific to Amazon Aurora and Shipment to Easypost — each maps to any object or custom field on the other side.

How changes propagate between Amazon Aurora and Easypost

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.

Amazon Aurora Easypost Sub-second propagation

DetectionChanges in Amazon Aurora are captured at the source via change data capture — no polling loop against its API. Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters.

DeliveryEach detected change is written to Easypost through its API, with automatic retries and rate-limit backoff.

Easypost Amazon Aurora 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 Amazon Aurora as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Amazon Aurora: No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits.
  • 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.
What ships with Amazon Aurora ⇄ Easypost

Connect Amazon Aurora and Easypost for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon Aurora or Easypost 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 Amazon Aurora or Easypost record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Amazon Aurora and Easypost.

How the Amazon Aurora and Easypost connectors work

Amazon Aurora

Integration surface
MySQL or PostgreSQL wire protocol (SQL); optional RDS Data API over HTTPS
Authentication
Database credentials or IAM database authentication
Change detection
Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; polling as a fallback
Capabilities
read · write · CDC
Rate limits
No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits

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
How it works

How to connect Amazon Aurora to Easypost — 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 Amazon Aurora 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Amazon Aurora connected
    Easypost connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon Aurora 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Amazon Aurora ⇄ Easypost
    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
    Amazon Aurora Easypost
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

Amazon Aurora and Easypost 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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 392 integrations available for Amazon Aurora and Easypost.

Popular · 6 of 392
All Amazon Aurora integrations All Easypost integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own