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Data warehouse ⇄ ERP

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

Keep Databricks 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 Databricks and Microsoft Dynamics NAV

Put Microsoft Dynamics NAV's records in Databricks as live tables for reporting and analysis, without extract jobs, and write results back where Microsoft Dynamics NAV can use them.

ERP data is some of the most asked-for data in the warehouse and some of the hardest to get: the record types are many, the APIs are strict, and extract jobs are brittle. Whether Microsoft Dynamics NAV carries financials, operations, workforce data, or all three, the analysis belongs in Databricks next to everything else the company measures.

Stacksync syncs Sales Orders & Invoices, Purchase Orders, G/L Entries, Item Ledger Entries from Microsoft Dynamics NAV into tables in Databricks continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in Databricks can be written back to fields in Microsoft Dynamics NAV where that is useful.

Common use cases

  • 01 Land CRM and ERP records in Delta tables continuously so lakehouse models work from current operational data.
  • 02 Use Change Data Feed to propagate only changed rows to downstream apps instead of full-table scans.
  • 03 Run parallel sync during a NAV-to-Business Central migration so both systems stay usable.
  • 04 Sync customers, items, and orders between NAV and a CRM in both directions.

Common sync patterns

Where Microsoft Dynamics NAV runs operations: order and supply analysis

Operational records become queryable tables in Databricks, joinable with sales and finance data.

Group reporting across systems

Combine Microsoft Dynamics NAV's records with data synced from other systems in Databricks for consolidated views no single system can produce.

Write-back where Microsoft Dynamics NAV exposes writable fields

Classifications or reference values computed in Databricks sync back onto the corresponding records in Microsoft Dynamics NAV.

What you can sync between Databricks 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.

Databricks objects Microsoft Dynamics NAV objects How this pairing syncs
Change Data Feed Row-level change records on Delta tables that drive incremental reads. Sales Orders & Invoices Sales documents created from external orders and read back for posting status. Change Data Feed is specific to Databricks and Sales Orders & Invoices to Microsoft Dynamics NAV — each maps to any object or custom field on the other side.
Catalogs Top level of the Unity Catalog namespace, scoping which schemas a sync can address. Purchase Orders Purchasing documents reconciled with receiving and vendor systems. Catalogs is specific to Databricks and Purchase Orders to Microsoft Dynamics NAV — each maps to any object or custom field on the other side.
Schemas Group tables and views; syncs typically target a dedicated schema per source system. G/L Entries Posted ledger entries replicated to warehouses for finance reporting. Schemas is specific to Databricks and G/L Entries to Microsoft Dynamics NAV — each maps to any object or custom field on the other side.
Delta Tables The primary read and write target; operational data lands here as managed or external tables. Item Ledger Entries Inventory movement history read for stock and costing analytics. Delta Tables is specific to Databricks and Item Ledger Entries to Microsoft Dynamics NAV — each maps to any object or custom field on the other side.
Views Curated read-only projections used as sync sources for downstream tools. Dimensions Analytical codes carried on documents and entries for reporting splits. Views is specific to Databricks and Dimensions to Microsoft Dynamics NAV — each maps to any object or custom field on the other side.
Materialized Views Precomputed results read on a schedule for reverse-ETL style syncs. Companies Per-company data partitions that scope every sync. Materialized Views is specific to Databricks and Companies to Microsoft Dynamics NAV — each maps to any object or custom field on the other side.

How changes propagate between Databricks 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.

Databricks Microsoft Dynamics NAV Sub-second propagation

DetectionChanges in Databricks are captured at the source via change data capture — no polling loop against its API. Delta Lake Change Data Feed for row-level changes.

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

Microsoft Dynamics NAV Databricks 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 Databricks as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Databricks: Throughput depends on the SQL warehouse size; API calls are subject to workspace rate limits.
What ships with Databricks ⇄ Microsoft Dynamics NAV

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

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

Real-time

Two-way sync

Changes in Databricks 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 Databricks 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 Databricks or Microsoft Dynamics NAV record.

Observability

Monitoring

Track your Databricks ⇄ 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 Databricks and Microsoft Dynamics NAV.

How the Databricks and Microsoft Dynamics NAV connectors work

Databricks

Integration surface
SQL over JDBC/ODBC via SQL warehouses, plus a REST API including statement execution
Authentication
Personal access tokens or OAuth machine-to-machine credentials for service principals
Change detection
Delta Lake Change Data Feed for row-level changes; otherwise incremental polling on watermark columns
Capabilities
read · write · CDC
Rate limits
Throughput depends on the SQL warehouse size; API calls are subject to workspace rate limits

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

    Choose tables

    Pick the Databricks 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 · Databricks ⇄ 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
    Databricks Microsoft Dynamics NAV
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Databricks 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 548 integrations available for Databricks and Microsoft Dynamics NAV.

Popular · 8 of 548
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