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Database ⇄ ERP

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

Keep AWS Aurora PostgreSQL and DEAR Inventory 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 DEAR Inventory

Give your engineers DEAR Inventory'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 Assemblies / Production, Locations, Products, Stock levels from DEAR Inventory into AWS Aurora PostgreSQL and keeps both sides consistent in real time. Whatever DEAR Inventory 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 DEAR Inventory with its validations respected.

Common use cases

  • Feed operational dashboards from a read replica while the writer handles sync traffic.
  • Expose ERP records such as customers, orders, and invoices as Postgres tables the engineering team can query and update with plain SQL.
  • Keep supplier and purchase order data aligned with the accounting system for accrual accuracy.
  • Sync stock levels and product data to e-commerce storefronts and a CRM so sales quotes reflect real availability.

Internal tools and automations without API code

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

React to ERP changes

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

Where DEAR Inventory 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 DEAR Inventory

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 DEAR Inventory objects
Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. Purchase orders Supplier orders and receiving records synced with accounting and planning tools.
Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. Customers Buyer records aligned with CRM and accounting counterparts.
Foreign keys Relationship metadata that syncs can translate into object references elsewhere. Suppliers Vendor records referenced on purchase orders.
Replication slots and publications The logical replication objects that power log-based CDC. Stock adjustments and transfers Inventory movement transactions that explain changes in availability.
Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. Assemblies / Production Bill-of-material and production records for light manufacturing workflows.
Tables The core sync unit; rows are matched across systems by primary key. Locations Warehouses and bins that scope stock levels and fulfillment.
What ships with AWS Aurora PostgreSQL ⇄ DEAR Inventory

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

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

Real-time

Two-way sync

Changes in AWS Aurora PostgreSQL or DEAR Inventory 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 DEAR Inventory 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 DEAR Inventory record.

Observability

Monitoring

Track your AWS Aurora PostgreSQL ⇄ DEAR Inventory 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 DEAR Inventory.

How the AWS Aurora PostgreSQL and DEAR Inventory 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

DEAR Inventory

Integration surface
REST API
Authentication
Account ID plus application key sent as request headers
Change detection
Polling with modified-since filters; webhook notifications for sale and purchase events are available on subscriptions that include the Automation module
Capabilities
read · write · webhooks
Rate limits
Subject to the platform's per-account API rate limits
How it works

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

    Choose tables

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

AWS Aurora PostgreSQL and DEAR Inventory 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
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ISO 27001
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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 DEAR Inventory.

Popular · 8 of 386
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