Can you integrate DEAR Inventory with PostgreSQL?

Yes. Stacksync provides a managed, real-time two-way integration between DEAR Inventory and PostgreSQL: authenticate both systems, choose the objects to sync (such as DEAR Inventory's Assemblies / Production and Locations), map fields visually, and changes propagate both ways in milliseconds — no code required.

What makes PostgreSQL's data model different?

PostgreSQL: INSERT ... ON CONFLICT gives native upsert semantics, which makes inbound syncs idempotent against primary or unique keys. DEAR Inventory: DEAR Systems was acquired by Cin7 and the product now operates as Cin7 Core; the API and data model carried over from DEAR. Stacksync's field mapping accounts for these differences between DEAR Inventory and PostgreSQL without custom code.

Is the DEAR Inventory–PostgreSQL integration secure?

Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means DEAR Inventory and PostgreSQL records are not retained after a sync operation.

How much does a DEAR Inventory and PostgreSQL integration cost?

Stacksync pricing is usage-based and starts at $1,000/month, including the managed DEAR Inventory and PostgreSQL connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom DEAR Inventory–PostgreSQL integration in-house.

Is Stacksync a managed DEAR Inventory–PostgreSQL connector?

Yes — Stacksync ships production-grade connectors for both DEAR Inventory and PostgreSQL. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.

How does the DEAR Inventory to PostgreSQL sync work?

Change detection on DEAR Inventory: Polling with modified-since filters; webhook notifications for sale and purchase events are available on subscriptions that include the Automation module. On PostgreSQL: 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.

ERP ⇄ Database

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

Keep DEAR Inventory and PostgreSQL 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
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Live sync

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DEAR Inventory

PostgreSQL

<1s: latency
2-way: sync
100M+: records

Adopted by fast-scaling companies moving mission-critical data in real time

Case study

Migrated from Mulesoft

Case study

Migrated from Celigo

Migrated from Heroku Connect

Migrated from Matillion

Case study

Migrated from Fivetran

Case study

Migrated from Celigo

Why teams connect DEAR Inventory and PostgreSQL

Give your engineers DEAR Inventory'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 Customers, Suppliers, Stock adjustments and transfers, Assemblies / Production from DEAR Inventory into 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 PostgreSQL sync back into DEAR Inventory with its validations respected.

Common use cases

Consolidate data from several microservice databases into one operational Postgres store
Feed reporting and BI from a continuously synced Postgres replica instead of scheduled ETL scripts
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.

Controlled write-back

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

Read ERP records with a query

Records from DEAR Inventory live in PostgreSQL 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 DEAR Inventory interface, limits, and retries.

What you can sync between DEAR Inventory and PostgreSQL

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.

DEAR Inventory objects		PostgreSQL objects
Assemblies / Production Bill-of-material and production records for light manufacturing workflows.	⇄	Custom Types and Enums Constrain synced values to a fixed set, mirroring picklist fields.
Locations Warehouses and bins that scope stock levels and fulfillment.	⇄	Tables The primary sync target; rows map one-to-one to records in connected SaaS systems.
Products SKU records with pricing, suppliers, and bill-of-material links; the master data most syncs start from.	⇄	Views Read-side projections used to expose joined or filtered data to a sync.
Stock levels Per-location availability derived from inventory transactions; read-heavy in storefront syncs.	⇄	Materialized Views Precomputed result sets synced outward on a refresh schedule.
Sale orders Customer orders through their pick/pack/ship lifecycle; synced with storefronts and CRMs.	⇄	Schemas Namespaces that scope which tables a sync reads and writes.
Purchase orders Supplier orders and receiving records synced with accounting and planning tools.	⇄	Columns Field-level mapping targets; types are mapped to the connected system's field types.

What ships with DEAR Inventory ⇄ PostgreSQL

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever DEAR Inventory or PostgreSQL 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 DEAR Inventory or PostgreSQL record.

Observability

Monitoring

Track your DEAR Inventory ⇄ PostgreSQL sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between DEAR Inventory and PostgreSQL.

How the DEAR Inventory and PostgreSQL connectors work

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

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

How it works

How to connect DEAR Inventory to PostgreSQL — 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.

01
Connect your apps

Authenticate DEAR Inventory and PostgreSQL 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
DEAR Inventory connected
PostgreSQL connected

OAuth 2.0
SSH tunnel
SSL certificate
VPC peering
02
Choose tables

Pick the DEAR Inventory and PostgreSQL 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 · DEAR Inventory ⇄ PostgreSQL

Customers 12,480
Sales Orders 8,213
Invoices 5,902
Items 1,344
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
DEAR Inventory PostgreSQL

Company company_name text
Email email text
Amount amount numeric
Created created_at timestamp

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FAQ

DEAR Inventory and PostgreSQL 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

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DPF US-EU-UK-CH

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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 DEAR Inventory and PostgreSQL.

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

Adopted by fast-scaling companies moving mission-critical data in real time