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ERP ⇄ Database

IQMS (DELMIAworks) to PostgreSQL integration — real-time, two-way sync

Keep IQMS (DELMIAworks) 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.

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  • 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 IQMS (DELMIAworks) and PostgreSQL

Give your engineers IQMS (DELMIAworks)'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 Work Orders, Items & Inventory, Bills of Materials, Customers from IQMS (DELMIAworks) into PostgreSQL and keeps both sides consistent in real time. Whatever IQMS (DELMIAworks) 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 IQMS (DELMIAworks) with its validations respected.

Common use cases

  • Feed reporting and BI from a continuously synced Postgres replica instead of scheduled ETL scripts
  • Expose SaaS objects (CRM contacts, ERP invoices, support tickets) as Postgres tables that internal tools can query and join
  • Consolidate machine monitoring and quality data into a BI warehouse for plant performance reporting
  • Sync work order and production status from DELMIAworks to a CRM so sales quotes realistic lead times

Read ERP records with a query

Records from IQMS (DELMIAworks) 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 IQMS (DELMIAworks) interface, limits, and retries.

React to ERP changes

Updates in IQMS (DELMIAworks) arrive as row changes in PostgreSQL, so jobs and triggers can respond as the business record changes.

What you can sync between IQMS (DELMIAworks) 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.

IQMS (DELMIAworks) objects PostgreSQL objects
Sales Orders Order headers and lines sync with CRM and EDI channels to remove re-keying. Views Read-side projections used to expose joined or filtered data to a sync.
Work Orders Production order status feeds sales tools so quoted lead times reflect the floor. Materialized Views Precomputed result sets synced outward on a refresh schedule.
Items & Inventory Item and on-hand data drive availability in commerce and planning systems. Schemas Namespaces that scope which tables a sync reads and writes.
Bills of Materials BOM structures support costing and configuration data in external tools. Columns Field-level mapping targets; types are mapped to the connected system's field types.
Customers Customer master records align the ERP with CRM accounts. Primary and Unique Keys Used as match keys for idempotent upserts and conflict resolution.
Suppliers Vendor records keep procurement tools consistent with the ERP. JSONB Columns Hold semi-structured payloads such as nested SaaS objects or metadata.
What ships with IQMS (DELMIAworks) ⇄ PostgreSQL

Connect IQMS (DELMIAworks) and PostgreSQL for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every IQMS (DELMIAworks)–PostgreSQL connection.

Real-time

Two-way sync

Changes in IQMS (DELMIAworks) or PostgreSQL instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever IQMS (DELMIAworks) 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 IQMS (DELMIAworks) or PostgreSQL record.

Observability

Monitoring

Track your IQMS (DELMIAworks) ⇄ PostgreSQL sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between IQMS (DELMIAworks) and PostgreSQL.

How the IQMS (DELMIAworks) and PostgreSQL connectors work

IQMS (DELMIAworks)

Integration surface
Database-level access and vendor integration interfaces; no broadly documented public REST API
Authentication
Database credentials or vendor-issued integration credentials
Change detection
Polling
Capabilities
read · write
Rate limits
Constrained by database and application resources rather than published 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 IQMS (DELMIAworks) 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.

  1. 01

    Connect your apps

    Authenticate IQMS (DELMIAworks) 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
    IQMS (DELMIAworks) connected
    PostgreSQL connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the IQMS (DELMIAworks) 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 · IQMS (DELMIAworks) ⇄ PostgreSQL
    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
    IQMS (DELMIAworks) PostgreSQL
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

IQMS (DELMIAworks) 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
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 IQMS (DELMIAworks) and PostgreSQL.

Popular · 8 of 386
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