Two-way sync
Changes in Acumatica or Databricks instantly reflect in both systems. No stale data, no manual imports.
Keep Acumatica and Databricks 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 Acumatica carries financials, operations, workforce data, or all three, the analysis belongs in Databricks next to everything else the company measures.
Stacksync syncs Vendors, Sales Orders, Invoices, Purchase Orders from Acumatica 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 Acumatica where that is useful.
Classifications or reference values computed in Databricks sync back onto the corresponding records in Acumatica.
Financial records land in Databricks as they change, so period-end reporting queries current numbers rather than last night's extract.
Worker and organization data syncs into Databricks for headcount, cost, and planning analysis alongside other company data.
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.
| Acumatica objects | Databricks objects | |
|---|---|---|
| Journal Transactions GL entries replicated into reporting databases. | Materialized Views Precomputed results read on a schedule for reverse-ETL style syncs. | |
| Projects Project cost and billing structures synced with delivery tools. | Volumes Unity Catalog file storage used for staging bulk loads. | |
| Opportunities and Cases Built-in CRM records synced with external sales and support tools. | SQL Warehouses The compute endpoint a sync connects to for query execution. | |
| Customers AR master data synced with CRMs and billing tools. | Change Data Feed Row-level change records on Delta tables that drive incremental reads. | |
| Vendors Supplier records aligned with procurement and AP automation. | Catalogs Top level of the Unity Catalog namespace, scoping which schemas a sync can address. | |
| Sales Orders Order documents created from e-commerce and CRM systems, read back for fulfillment status. | Schemas Group tables and views; syncs typically target a dedicated schema per source system. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Acumatica–Databricks connection.
Changes in Acumatica or Databricks instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Acumatica or Databricks data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Acumatica or Databricks record.
Track your Acumatica ⇄ Databricks sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Acumatica and Databricks.
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 Acumatica and Databricks 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 Acumatica and Databricks 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 Acumatica and Databricks: authenticate both systems, choose the objects to sync (such as Acumatica's Journal Transactions and Projects), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 Acumatica and Databricks: Write-back where Acumatica exposes writable fields; Where Acumatica holds the books: finance reporting from live data; Where Acumatica is the HR system of record: workforce analytics. Classifications or reference values computed in Databricks sync back onto the corresponding records in Acumatica.
Acumatica: Contract-based REST API (JSON over versioned endpoints), plus SOAP web services and OData access to Generic Inquiries. Authentication: OAuth 2.0 or cookie-based session login with Acumatica credentials. 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. Stacksync manages authentication, retries, and rate limits on both sides.
Databricks: Delta Lake's Change Data Feed records row-level inserts, updates, and deletes, enabling incremental sync without full scans. Acumatica: Generic Inquiries can be exposed through OData, giving read access to tenant-defined queries without building custom endpoints. Stacksync's field mapping accounts for these differences between Acumatica and Databricks without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Acumatica and Databricks records are not retained after a sync operation.
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 Acumatica and Databricks.