Two-way sync
Changes in Microsoft Dynamics NAV or Render Postgres instantly reflect in both systems. No stale data, no manual imports.
Keep Microsoft Dynamics NAV and Render Postgres in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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 Dimensions, Companies, Customers, Vendors from Microsoft Dynamics NAV into Render Postgres and keeps both sides consistent in real time. Whatever Microsoft Dynamics NAV is the system of record for, whether financials, operations, people, or procurement, those records become rows your code can query, and changes written in Render Postgres sync back into Microsoft Dynamics NAV with its validations respected.
Choose exactly which tables and fields may flow from Render Postgres back into Microsoft Dynamics NAV, keeping the ERP authoritative.
Records from Microsoft Dynamics NAV live in Render Postgres as ordinary tables or collections, joinable with the rest of your data.
Scripts and services read and write the synced tables; Stacksync handles the Microsoft Dynamics NAV interface, limits, and retries.
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.
| Microsoft Dynamics NAV objects | Render Postgres objects | How this pairing syncs | |
|---|---|---|---|
| Purchase Orders Purchasing documents reconciled with receiving and vendor systems. | Indexes and Constraints Primary keys, unique constraints, and foreign keys; unique keys drive idempotent upserts and conflict resolution during sync. | Purchase Orders is specific to Microsoft Dynamics NAV and Indexes and Constraints to Render Postgres — each maps to any object or custom field on the other side. | |
| G/L Entries Posted ledger entries replicated to warehouses for finance reporting. | Tables Relational tables with full column typing; synced two-way with CRMs, ERPs, and SaaS apps so application data is queryable as plain Postgres rows. | G/L Entries is specific to Microsoft Dynamics NAV and Tables to Render Postgres — each maps to any object or custom field on the other side. | |
| Item Ledger Entries Inventory movement history read for stock and costing analytics. | Views Saved queries exposed as read-only relations; read out to BI tools or downstream syncs without duplicating transformation logic. | Item Ledger Entries is specific to Microsoft Dynamics NAV and Views to Render Postgres — each maps to any object or custom field on the other side. | |
| Dimensions Analytical codes carried on documents and entries for reporting splits. | Materialized Views Precomputed query results refreshed on demand; read for fast reporting tables that downstream systems can consume. | Dimensions is specific to Microsoft Dynamics NAV and Materialized Views to Render Postgres — each maps to any object or custom field on the other side. | |
| Companies Per-company data partitions that scope every sync. | Schemas Namespaces that organize tables per app or environment; sync targets are scoped per schema to keep synced data isolated and tidy. | Companies is specific to Microsoft Dynamics NAV and Schemas to Render Postgres — each maps to any object or custom field on the other side. | |
| Customers Customer cards synced with CRMs so sales sees ERP balances and terms. | Columns and Types Full Postgres type system including JSONB and arrays; field mappings preserve native types instead of flattening to strings. | Customers is specific to Microsoft Dynamics NAV and Columns and Types to Render Postgres — each maps to any object or custom field on the other side. |
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
DetectionChanges in Microsoft Dynamics NAV are captured at the source via change data capture — no polling loop against its API. Polling on modified/timestamp fields, or SQL Server change tracking/CDC on on-premises databases.
DeliveryEach detected change is applied to Render Postgres as a row-level write, with types converted between the two schemas.
DetectionChanges in Render Postgres are captured at the source via change data capture — no polling loop against its API. Logical replication via WAL and replication slots for change data capture when enabled on the instance, with timestamp or cursor-based polling as the.
DeliveryEach detected change is applied to Microsoft Dynamics NAV as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Microsoft Dynamics NAV–Render Postgres connection.
Changes in Microsoft Dynamics NAV or Render Postgres instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Microsoft Dynamics NAV or Render Postgres data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Microsoft Dynamics NAV or Render Postgres record.
Track your Microsoft Dynamics NAV ⇄ Render Postgres sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Microsoft Dynamics NAV and Render Postgres.
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.
Authenticate Microsoft Dynamics NAV and Render Postgres with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Microsoft Dynamics NAV and Render Postgres 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 414 integrations available for Microsoft Dynamics NAV and Render Postgres.