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Database ⇄ ERP

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

Keep 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 PostgreSQL and Snapfulfil

Give your engineers Snapfulfil's data in 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 Warehouse locations, Returns, Sales orders, Purchase orders / ASNs from Snapfulfil into 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 PostgreSQL sync back into Snapfulfil with its validations respected.

Common use cases

  • Let an application write to its own database and have those rows appear as records in business systems in near real time
  • Consolidate data from several microservice databases into one operational Postgres store
  • Mirror fulfillment activity into a database for operational reporting outside the WMS
  • Push sales orders from an ERP or e-commerce platform into Snapfulfil for fulfillment without file drops

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

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

Controlled write-back

Choose exactly which tables and fields may flow from PostgreSQL back into Snapfulfil, keeping the ERP authoritative.

Read ERP records with a query

Records from Snapfulfil live in PostgreSQL as ordinary tables or collections, joinable with the rest of your data.

What you can sync between 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.

PostgreSQL objects Snapfulfil objects
Custom Types and Enums Constrain synced values to a fixed set, mirroring picklist fields. Warehouse locations Bin and zone structure referenced by stock and movement records.
Tables The primary sync target; rows map one-to-one to records in connected SaaS systems. Returns Inbound customer returns processed back into stock or quarantine.
Views Read-side projections used to expose joined or filtered data to a sync. Sales orders Orders pushed into the WMS for picking, packing, and dispatch.
Materialized Views Precomputed result sets synced outward on a refresh schedule. Purchase orders / ASNs Inbound expectations that drive receiving and putaway.
Schemas Namespaces that scope which tables a sync reads and writes. Items (SKUs) The item master, usually sourced from the ERP or storefront.
Columns Field-level mapping targets; types are mapped to the connected system's field types. Inventory balances On-hand and allocated stock, read back to keep the ERP and selling channels accurate.
What ships with PostgreSQL ⇄ Snapfulfil

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever 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 PostgreSQL or Snapfulfil record.

Observability

Monitoring

Track your 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 PostgreSQL and Snapfulfil.

How the PostgreSQL and Snapfulfil connectors work

PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL frontend/backend protocol)
Authentication
Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user
Change detection
Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput
PostgreSQL setup guide

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

    Choose tables

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

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 PostgreSQL and Snapfulfil.

Popular · 8 of 386
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