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Database ⇄ ERP

Jdbc to Microsoft Dynamics NAV integration — real-time, two-way sync

Keep Jdbc 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.

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

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Why teams connect Jdbc and Microsoft Dynamics NAV

Give your engineers Microsoft Dynamics NAV's data in Jdbc: 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 Item Ledger Entries, Dimensions, Companies, Customers from Microsoft Dynamics NAV into Jdbc 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 Jdbc sync back into Microsoft Dynamics NAV with its validations respected.

Common use cases

  • 01 Connect a niche or legacy RDBMS that has no dedicated Stacksync connector but ships a JDBC driver, using its JDBC URL to sync it two-way.
  • 02 Incrementally sync a high-volume table by polling an updated_at or auto-increment column, keeping a downstream store fresh without full reloads.
  • 03 Keep inventory availability current in storefronts and customer portals.
  • 04 Run parallel sync during a NAV-to-Business Central migration so both systems stay usable.

Common sync patterns

React to ERP changes

Updates in Microsoft Dynamics NAV arrive as row changes in Jdbc, so jobs and triggers can respond as the business record changes.

Where Microsoft Dynamics NAV is the HR system of record: people data for internal systems

Worker and org records stay current in Jdbc for provisioning, access, and reporting systems that read from the database.

Controlled write-back

Choose exactly which tables and fields may flow from Jdbc back into Microsoft Dynamics NAV, keeping the ERP authoritative.

What you can sync between Jdbc and Microsoft Dynamics NAV

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.

Jdbc objects Microsoft Dynamics NAV objects How this pairing syncs
Sequences Server-generated identity values; relevant when writing rows into tables whose keys are assigned by the database rather than the source system. G/L Entries Posted ledger entries replicated to warehouses for finance reporting. Sequences is specific to Jdbc and G/L Entries to Microsoft Dynamics NAV — each maps to any object or custom field on the other side.
Tables The base relational tables in the target database; synced two-way as rows over SQL, with each table's primary key driving upserts and row-level updates. Item Ledger Entries Inventory movement history read for stock and costing analytics. Tables is specific to Jdbc and Item Ledger Entries to Microsoft Dynamics NAV — each maps to any object or custom field on the other side.
Views Stored SELECT queries exposed like tables; read-only projections synced outbound when raw base tables should not be exposed downstream. Dimensions Analytical codes carried on documents and entries for reporting splits. Views is specific to Jdbc and Dimensions to Microsoft Dynamics NAV — each maps to any object or custom field on the other side.
Columns Per-table fields with data types, nullability, and defaults; enumerated via DatabaseMetaData.getColumns to auto-generate and type-check field mappings. Companies Per-company data partitions that scope every sync. Columns is specific to Jdbc and Companies to Microsoft Dynamics NAV — each maps to any object or custom field on the other side.
Primary keys & indexes Key and index definitions read via DatabaseMetaData; the primary key is required for reliable upserts, and indexes on the cursor column keep incremental polling fast. Customers Customer cards synced with CRMs so sales sees ERP balances and terms. Primary keys & indexes is specific to Jdbc and Customers to Microsoft Dynamics NAV — each maps to any object or custom field on the other side.
Schemas & catalogs Namespaces that group tables and views; the connector targets a schema/catalog and lists its objects from the JDBC metadata to build the sync. Vendors Vendor cards aligned with procurement and AP tools. Schemas & catalogs is specific to Jdbc and Vendors to Microsoft Dynamics NAV — each maps to any object or custom field on the other side.

How changes propagate between Jdbc and Microsoft Dynamics NAV

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.

Jdbc Microsoft Dynamics NAV Interval-based propagation

DetectionStacksync polls Jdbc for changes on an incremental schedule, reading only records changed since the previous pass. No native change feed.

DeliveryEach detected change is applied to Microsoft Dynamics NAV as a row-level write, with types converted between the two schemas.

Microsoft Dynamics NAV Jdbc Sub-second propagation

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 Jdbc as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Jdbc: No SaaS-style request quota. Throughput is bounded by the target database's max connections and connection-pool size, plus the CPU and I/O it shares with production queries, so heavy syncs can contend with live workloads.
What ships with Jdbc ⇄ Microsoft Dynamics NAV

Connect Jdbc and Microsoft Dynamics NAV for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Jdbc–Microsoft Dynamics NAV connection.

Real-time

Two-way sync

Changes in Jdbc or Microsoft Dynamics NAV instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Jdbc or Microsoft Dynamics NAV 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 Jdbc or Microsoft Dynamics NAV record.

Observability

Monitoring

Track your Jdbc ⇄ Microsoft Dynamics NAV sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Jdbc and Microsoft Dynamics NAV.

How the Jdbc and Microsoft Dynamics NAV connectors work

Jdbc

Integration surface
JDBC API (java.sql / javax.sql) executing SQL through a JDBC driver, typically a pure-Java Type 4 driver; reaches any relational database with a driver - PostgreSQL, MySQL, SQL Server, Oracle, IBM DB2, and others - via a JDBC URL such as jdbc:postgresql://host:5432/db.
Authentication
A database user's username and password supplied in the JDBC connection (DriverManager or a DataSource), typically over a TLS/SSL-encrypted connection. Some drivers add Kerberos, integrated Windows auth, or cloud IAM-token auth, but the available methods depend on the target database and its driver.
Change detection
No native change feed. Incremental sync polls a cursor column - an updated_at timestamp or an auto-incrementing key - to pull new and changed rows; detecting deletes needs soft-delete flags or database triggers writing to a shadow table. No webhooks.
Capabilities
read · write
Rate limits
No SaaS-style request quota. Throughput is bounded by the target database's max connections and connection-pool size, plus the CPU and I/O it shares with production queries, so heavy syncs can contend with live workloads.

Microsoft Dynamics NAV

Integration surface
SOAP and OData web services published from NAV pages and codeunits; direct SQL Server access on-premises
Authentication
Windows authentication or NavUserPassword credentials
Change detection
Polling on modified/timestamp fields, or SQL Server change tracking/CDC on on-premises databases; no native webhooks
Capabilities
read · write · CDC
How it works

How to connect Jdbc to Microsoft Dynamics NAV — 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 Jdbc 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Jdbc connected
    Microsoft Dynamics NAV connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Jdbc 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Jdbc ⇄ Microsoft Dynamics NAV
    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
    Jdbc Microsoft Dynamics NAV
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Jdbc and Microsoft Dynamics NAV integration FAQ

SECURITY

Security teams trust 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.

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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 429 integrations available for Jdbc and Microsoft Dynamics NAV.

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