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ERP ⇄ Data warehouse

Acumatica to Databricks integration — real-time, two-way sync

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.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

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

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Why teams connect Acumatica and Databricks

Put Acumatica's records in Databricks as live tables for reporting and analysis, without extract jobs, and write results back where Acumatica 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 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.

Common use cases

  • Land CRM and ERP records in Delta tables continuously so lakehouse models work from current operational data.
  • Use Change Data Feed to propagate only changed rows to downstream apps instead of full-table scans.
  • Sync vendor bills from AP automation tools into Acumatica for approval and payment.
  • Align Acumatica's built-in CRM opportunities and cases with an external sales or support platform.

Write-back where Acumatica exposes writable fields

Classifications or reference values computed in Databricks sync back onto the corresponding records in Acumatica.

Where Acumatica holds the books: finance reporting from live data

Financial records land in Databricks as they change, so period-end reporting queries current numbers rather than last night's extract.

Where Acumatica is the HR system of record: workforce analytics

Worker and organization data syncs into Databricks for headcount, cost, and planning analysis alongside other company data.

What you can sync between Acumatica and Databricks

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.
What ships with Acumatica ⇄ Databricks

Connect Acumatica and Databricks for flexible, real-time data sync.

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

Real-time

Two-way sync

Changes in Acumatica or Databricks instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Acumatica or Databricks 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 Acumatica or Databricks record.

Observability

Monitoring

Track your Acumatica ⇄ Databricks sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Acumatica and Databricks.

How the Acumatica and Databricks connectors work

Acumatica

Integration surface
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
Change detection
Push notifications configurable on data changes, plus polling on LastModifiedDateTime fields
Capabilities
read · write · webhooks

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
How it works

How to connect Acumatica to Databricks — 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 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Acumatica connected
    Databricks connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Acumatica ⇄ Databricks
    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
    Acumatica Databricks
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Acumatica and Databricks integration FAQ

SECURITY

Security teams love 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.

SOC 2 type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

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:

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for Acumatica and Databricks.

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