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Database ⇄ ERP

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

Keep Amazon Aurora 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 Amazon Aurora and Snapfulfil

Give your engineers Snapfulfil's data in Amazon Aurora: 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 Returns, Sales orders, Purchase orders / ASNs, Items (SKUs) from Snapfulfil into Amazon Aurora 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 Amazon Aurora sync back into Snapfulfil with its validations respected.

Common use cases

  • Stream row-level changes from Aurora into a warehouse for near-real-time analytics without batch exports.
  • Consolidate several Aurora clusters into one reporting database.
  • Push sales orders from an ERP or e-commerce platform into Snapfulfil for fulfillment without file drops
  • Sync shipment confirmations and tracking numbers back to the order management system as orders dispatch

Read ERP records with a query

Records from Snapfulfil live in Amazon Aurora 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 Snapfulfil interface, limits, and retries.

React to ERP changes

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

What you can sync between Amazon Aurora 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.

Amazon Aurora objects Snapfulfil objects
Views Read-only query-backed sources for downstream syncs. Items (SKUs) The item master, usually sourced from the ERP or storefront.
Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. Inventory balances On-hand and allocated stock, read back to keep the ERP and selling channels accurate.
Columns and Data Types Standard MySQL or PostgreSQL types mapped during field mapping. Shipments Dispatch confirmations with carrier and tracking details returned to the order source.
Primary and Foreign Keys Constraints used to identify records and preserve relational integrity in syncs. Warehouse locations Bin and zone structure referenced by stock and movement records.
Read Replicas Reader endpoints that syncs can target to keep load off the writer. Returns Inbound customer returns processed back into stock or quarantine.
Databases Logical databases within a cluster that scope a sync connection. Sales orders Orders pushed into the WMS for picking, packing, and dispatch.
What ships with Amazon Aurora ⇄ Snapfulfil

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

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

Observability

Monitoring

Track your Amazon Aurora ⇄ Snapfulfil 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 Snapfulfil.

How the Amazon Aurora and Snapfulfil 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

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

    Choose tables

    Pick the Amazon Aurora 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 · Amazon Aurora ⇄ 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
    Amazon Aurora Snapfulfil
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon Aurora 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 Amazon Aurora and Snapfulfil.

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