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Database ⇄ Business productivity

AWS Aurora PostgreSQL to Orderful integration — real-time, two-way sync

Keep AWS Aurora PostgreSQL and Orderful 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

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Why teams connect AWS Aurora PostgreSQL and Orderful

Mirror Orderful's data into AWS Aurora PostgreSQL so your own code can read and write it like any other table, with changes flowing both ways in seconds.

Engineers integrate with tools like Orderful through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in AWS Aurora PostgreSQL.

Stacksync mirrors Acknowledgments, Webhook events, Transactions, Trading partners from Orderful into Columns, Primary keys and constraints, Views and materialized views, Foreign keys in AWS Aurora PostgreSQL and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Orderful, so the tool and the database never disagree.

Common use cases

  • Sync inbound purchase orders from Orderful into an ERP or Postgres so fulfillment starts without manual EDI handling.
  • Push invoices and advance ship notices from the ERP through Orderful to retail trading partners.
  • Expose ERP records such as customers, orders, and invoices as Postgres tables the engineering team can query and update with plain SQL.
  • Capture row-level changes with logical replication and propagate them to SaaS tools without batch jobs.

Automate Orderful from your codebase

Write to the synced tables in AWS Aurora PostgreSQL and Stacksync propagates the change into Orderful, replacing custom integration code.

React to changes as they happen

Updates in Orderful arrive as row changes in AWS Aurora PostgreSQL, so triggers, jobs, and services can respond in near real time.

One integration pattern for the whole stack

Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.

What you can sync between AWS Aurora PostgreSQL and Orderful

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.

AWS Aurora PostgreSQL objects Orderful objects
Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. Acknowledgments 997 functional acknowledgments confirming receipt of transmitted documents
Tables The core sync unit; rows are matched across systems by primary key. Webhook events Push notifications for inbound documents and transaction status changes
Rows Inserted, updated, and deleted in both directions during bi-directional syncs. Transactions EDI documents such as 850 purchase orders, 810 invoices, and 856 ship notices, represented as JSON
Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. Trading partners The retailers, carriers, and suppliers a company exchanges documents with
Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. Relationships Active partner connections per transaction type that govern what can be sent and received
Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. Validation guidelines Partner-specific rules transactions are checked against before delivery
What ships with AWS Aurora PostgreSQL ⇄ Orderful

Connect AWS Aurora PostgreSQL and Orderful for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–Orderful connection.

Real-time

Two-way sync

Changes in AWS Aurora PostgreSQL or Orderful instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS Aurora PostgreSQL or Orderful 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 AWS Aurora PostgreSQL or Orderful record.

Observability

Monitoring

Track your AWS Aurora PostgreSQL ⇄ Orderful sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL and Orderful.

How the AWS Aurora PostgreSQL and Orderful connectors work

AWS Aurora PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback
Capabilities
read · write · CDC

Orderful

Integration surface
REST API (JSON)
Authentication
API key
Change detection
webhooks push inbound transactions and status events; polling available as fallback
Capabilities
read · write · webhooks
Rate limits
subject to the platform's API rate limits
How it works

How to connect AWS Aurora PostgreSQL to Orderful — 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 AWS Aurora PostgreSQL and Orderful 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
    AWS Aurora PostgreSQL connected
    Orderful connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora PostgreSQL and Orderful 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 · AWS Aurora PostgreSQL ⇄ Orderful
    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
    AWS Aurora PostgreSQL Orderful
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS Aurora PostgreSQL and Orderful integration FAQ

SECURITY

Security teams love 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
CSA STAR
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 386 integrations available for AWS Aurora PostgreSQL and Orderful.

Popular · 8 of 386
All AWS Aurora PostgreSQL integrations All Orderful integrations Browse all integrations
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