Two-way sync
Changes in Databricks or Microsoft Dynamics GP instantly reflect in both systems. No stale data, no manual imports.
Keep Databricks and Microsoft Dynamics GP 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 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 GP carries financials, operations, workforce data, or all three, the analysis belongs in Databricks next to everything else the company measures.
Stacksync syncs Vendors, Sales Documents (SOP), Purchase Orders (POP), Inventory Items (IV) from Microsoft Dynamics GP 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 GP where that is useful.
Combine Microsoft Dynamics GP's records with data synced from other systems in Databricks for consolidated views no single system can produce.
Classifications or reference values computed in Databricks sync back onto the corresponding records in Microsoft Dynamics GP.
Financial records land in Databricks as they change, so period-end reporting queries current numbers rather than last night's extract.
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 GP objects | |
|---|---|---|
| Materialized Views Precomputed results read on a schedule for reverse-ETL style syncs. | Sales Documents (SOP) Quotes, orders, and invoices created via eConnect from web or CRM orders. | |
| Volumes Unity Catalog file storage used for staging bulk loads. | Purchase Orders (POP) Procurement documents reconciled with receiving and vendor systems. | |
| SQL Warehouses The compute endpoint a sync connects to for query execution. | Inventory Items (IV) Item master and quantity data mirrored to ecommerce and planning systems. | |
| Change Data Feed Row-level change records on Delta tables that drive incremental reads. | GL Accounts & Journal Entries Financial ledger data replicated to warehouses for consolidated reporting. | |
| Catalogs Top level of the Unity Catalog namespace, scoping which schemas a sync can address. | Receivables & Payables Transactions Open and historical AR/AP transactions read for cash and aging reporting. | |
| Schemas Group tables and views; syncs typically target a dedicated schema per source system. | Company Databases Per-company SQL databases that define the scope of any sync. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Databricks–Microsoft Dynamics GP connection.
Changes in Databricks or Microsoft Dynamics GP instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Databricks or Microsoft Dynamics GP data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Databricks or Microsoft Dynamics GP record.
Track your Databricks ⇄ Microsoft Dynamics GP sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Databricks and Microsoft Dynamics GP.
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 Databricks and Microsoft Dynamics GP 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 Databricks and Microsoft Dynamics GP 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.
Yes. Stacksync provides a managed, real-time two-way integration between Databricks and Microsoft Dynamics GP: authenticate both systems, choose the objects to sync (such as Databricks's Materialized Views and Volumes), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Databricks side: Schemas, Delta Tables, Views, Materialized Views, plus custom fields where Databricks exposes them. On the Microsoft Dynamics GP side: Vendors, Sales Documents (SOP), Purchase Orders (POP), Inventory Items (IV). Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Databricks and Microsoft Dynamics GP: Group reporting across systems; Write-back where Microsoft Dynamics GP exposes writable fields; Where Microsoft Dynamics GP holds the books: finance reporting from live data. Combine Microsoft Dynamics GP's records with data synced from other systems in Databricks for consolidated views no single system can produce.
Databricks: 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. Microsoft Dynamics GP: SQL Server database access plus the eConnect stored-procedure API; Web Services for GP on some deployments. Authentication: SQL Server credentials or Windows authentication. Stacksync manages authentication, retries, and rate limits on both sides.
Databricks: Unity Catalog imposes a three-level namespace (catalog.schema.table) that governs access across workspaces. Microsoft Dynamics GP: GP data splits across a shared system database (DYNAMICS) and one SQL Server database per company, so multi-company syncs iterate databases. Stacksync's field mapping accounts for these differences between Databricks and Microsoft Dynamics GP without custom code.
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 386 integrations available for Databricks and Microsoft Dynamics GP.