Two-way sync
Changes in Amazon Aurora or Microsoft Dynamics NAV instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Aurora and Microsoft Dynamics NAV 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 G/L Entries, Item Ledger Entries, Dimensions, Companies from Microsoft Dynamics NAV into Amazon Aurora 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 Amazon Aurora sync back into Microsoft Dynamics NAV with its validations respected.
Records from Microsoft Dynamics NAV live in Amazon Aurora 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.
Updates in Microsoft Dynamics NAV arrive as row changes in Amazon Aurora, so jobs and triggers can respond as the business record changes.
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.
| Amazon Aurora objects | Microsoft Dynamics NAV objects | How this pairing syncs | |
|---|---|---|---|
| Databases Logical databases within a cluster that scope a sync connection. | Dimensions Analytical codes carried on documents and entries for reporting splits. | Databases is specific to Amazon Aurora and Dimensions to Microsoft Dynamics NAV — each maps to any object or custom field on the other side. | |
| Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. | Companies Per-company data partitions that scope every sync. | Schemas is specific to Amazon Aurora and Companies to Microsoft Dynamics NAV — each maps to any object or custom field on the other side. | |
| Tables Relational tables synced bi-directionally at row level. | Customers Customer cards synced with CRMs so sales sees ERP balances and terms. | Tables is specific to Amazon Aurora and Customers to Microsoft Dynamics NAV — each maps to any object or custom field on the other side. | |
| Views Read-only query-backed sources for downstream syncs. | Vendors Vendor cards aligned with procurement and AP tools. | Views is specific to Amazon Aurora and Vendors to Microsoft Dynamics NAV — each maps to any object or custom field on the other side. | |
| Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. | Items Item cards and availability mirrored to ecommerce and planning systems. | Materialized Views is specific to Amazon Aurora and Items to Microsoft Dynamics NAV — each maps to any object or custom field on the other side. | |
| Columns and Data Types Standard MySQL or PostgreSQL types mapped during field mapping. | Sales Orders & Invoices Sales documents created from external orders and read back for posting status. | Columns and Data Types is specific to Amazon Aurora and Sales Orders & Invoices to Microsoft Dynamics NAV — 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 Amazon Aurora are captured at the source via change data capture — no polling loop against its API. Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters.
DeliveryEach detected change is applied to Microsoft Dynamics NAV as a row-level write, with types converted between the two schemas.
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 Amazon Aurora as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Aurora–Microsoft Dynamics NAV connection.
Changes in Amazon Aurora or Microsoft Dynamics NAV instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Aurora or Microsoft Dynamics NAV data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Amazon Aurora or Microsoft Dynamics NAV record.
Track your Amazon Aurora ⇄ Microsoft Dynamics NAV sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Aurora and Microsoft Dynamics NAV.
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 Amazon Aurora and Microsoft Dynamics NAV 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 Amazon Aurora and Microsoft Dynamics NAV 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 432 integrations available for Amazon Aurora and Microsoft Dynamics NAV.