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Database ⇄ ERP

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

Keep AWS Aurora PostgreSQL and Snapfulfil 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 Snapfulfil

Give your engineers Snapfulfil's data in AWS Aurora PostgreSQL: read it with normal queries, write back through the sync, and skip the ERP API entirely.

ERP data sits behind interfaces built for the ERP's own modules, not for your internal systems. Teams that need those records, for reporting services, internal tools, or automations, end up writing integration code against a strict API and maintaining it through every upgrade.

Stacksync mirrors Items (SKUs), Inventory balances, Shipments, Warehouse locations from Snapfulfil into AWS Aurora PostgreSQL and keeps both sides consistent in real time. Whatever Snapfulfil is the system of record for, whether financials, operations, people, or procurement, those records become rows your code can query, and changes written in AWS Aurora PostgreSQL sync back into Snapfulfil with its validations respected.

Common use cases

  • Sync JSONB-heavy application data into structured objects in downstream business systems.
  • Keep a customer-facing Aurora database aligned with an internal admin tool, with writes accepted on both sides.
  • Sync shipment confirmations and tracking numbers back to the order management system as orders dispatch
  • Keep inventory balances aligned between the WMS, the ERP, and selling channels to prevent oversells

Internal tools and automations without API code

Scripts and services read and write the synced tables; Stacksync handles the Snapfulfil interface, limits, and retries.

React to ERP changes

Updates in Snapfulfil arrive as row changes in AWS Aurora PostgreSQL, so jobs and triggers can respond as the business record changes.

Where Snapfulfil is the HR system of record: people data for internal systems

Worker and org records stay current in AWS Aurora PostgreSQL for provisioning, access, and reporting systems that read from the database.

What you can sync between AWS Aurora PostgreSQL and Snapfulfil

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 Snapfulfil objects
Rows Inserted, updated, and deleted in both directions during bi-directional syncs. Purchase orders / ASNs Inbound expectations that drive receiving and putaway.
Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. Items (SKUs) The item master, usually sourced from the ERP or storefront.
Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. Inventory balances On-hand and allocated stock, read back to keep the ERP and selling channels accurate.
Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. Shipments Dispatch confirmations with carrier and tracking details returned to the order source.
Foreign keys Relationship metadata that syncs can translate into object references elsewhere. Warehouse locations Bin and zone structure referenced by stock and movement records.
Replication slots and publications The logical replication objects that power log-based CDC. Returns Inbound customer returns processed back into stock or quarantine.
What ships with AWS Aurora PostgreSQL ⇄ Snapfulfil

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

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

Real-time

Two-way sync

Changes in AWS Aurora PostgreSQL or Snapfulfil 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 Snapfulfil 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 Snapfulfil record.

Observability

Monitoring

Track your AWS Aurora PostgreSQL ⇄ Snapfulfil 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 Snapfulfil.

How the AWS Aurora PostgreSQL and Snapfulfil 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

Snapfulfil

Integration surface
REST-style web service API
Authentication
API credentials issued for the warehouse instance
Change detection
Polling, subject to the platform's API rate limits
Capabilities
read · write
Rate limits
Specific quotas are not publicly standardized; treat throughput as instance-dependent
How it works

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

    Choose tables

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

AWS Aurora PostgreSQL and Snapfulfil 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 Snapfulfil.

Popular · 8 of 386
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