Real-time
Two-way sync
Changes in Databricks or Sage 300 instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ ERP
Databricks to Sage 300 integration — real-time, two-way sync
Keep Databricks and Sage 300 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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Migrated from Mulesoft
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Migrated from Celigo
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Migrated from Matillion
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Databricks and Sage 300
Put Sage 300's records in Databricks as live tables for reporting and analysis, without extract jobs, and write results back where Sage 300 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 Sage 300 carries financials, operations, workforce data, or all three, the analysis belongs in Databricks next to everything else the company measures.
Stacksync syncs Purchase Orders, Inventory Items, AR Invoices and Receipts, AR Customers from Sage 300 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 Sage 300 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.
- Replicate GL, AR, and AP detail to a warehouse for consolidated multi-company reporting.
- Keep inventory items and quantities aligned with e-commerce and warehouse systems on a schedule.
Write-back where Sage 300 exposes writable fields
Classifications or reference values computed in Databricks sync back onto the corresponding records in Sage 300.
Where Sage 300 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 Sage 300 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 Databricks and Sage 300
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 | Sage 300 objects | |
|---|---|---|
| Volumes Unity Catalog file storage used for staging bulk loads. | Inventory Items Item master with costing and quantities, synced to storefronts and WMS. | |
| SQL Warehouses The compute endpoint a sync connects to for query execution. | AR Invoices and Receipts Billing and payment records replicated for cash and revenue reporting. | |
| Change Data Feed Row-level change records on Delta tables that drive incremental reads. | AR Customers Receivables customer master synced to CRMs and billing tools. | |
| Catalogs Top level of the Unity Catalog namespace, scoping which schemas a sync can address. | AP Vendors Payables vendor master synced with procurement and payment systems. | |
| Schemas Group tables and views; syncs typically target a dedicated schema per source system. | GL Accounts Chart of accounts read for transaction mapping across integrations. | |
| Delta Tables The primary read and write target; operational data lands here as managed or external tables. | Journal Batches GL entries staged in batches that must be posted; a common write target for external systems. |
What ships with Databricks ⇄ Sage 300
Connect Databricks and Sage 300 for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Databricks–Sage 300 connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Databricks or Sage 300 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 Sage 300 record.
Observability
Monitoring
Track your Databricks ⇄ Sage 300 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 Sage 300.
How the Databricks and Sage 300 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
Sage 300
- Integration surface
- Sage 300 Web API (REST) on newer releases; .NET/COM SDK and direct SQL Server access on-prem
- Authentication
- Sage 300 user credentials (Basic auth on the Web API); database credentials for direct SQL reads
- Change detection
- Scheduled polling; batch-oriented modules with no webhook surface
- Capabilities
- read · write
How it works
How to connect Databricks to Sage 300 — 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.
- 01
Connect your apps
Authenticate Databricks and Sage 300 with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Databricks
connected
Sage 300
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Databricks and Sage 300 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.
objects · Databricks ⇄ Sage 300Customers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Databricks Sage 300Company company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Databricks and Sage 300 integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Databricks and Sage 300: authenticate both systems, choose the objects to sync (such as Databricks's Volumes and SQL Warehouses), map fields visually, and changes propagate both ways in milliseconds — no code required.
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On the Databricks side: Delta Tables, Views, Materialized Views, Volumes, plus custom fields where Databricks exposes them. On the Sage 300 side: Purchase Orders, Inventory Items, AR Invoices and Receipts, AR Customers. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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Common patterns for Databricks and Sage 300: Write-back where Sage 300 exposes writable fields; Where Sage 300 holds the books: finance reporting from live data; Where Sage 300 is the HR system of record: workforce analytics. Classifications or reference values computed in Databricks sync back onto the corresponding records in Sage 300.
-
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. Sage 300: Sage 300 Web API (REST) on newer releases; .NET/COM SDK and direct SQL Server access on-prem. Authentication: Sage 300 user credentials (Basic auth on the Web API); database credentials for direct SQL reads. Stacksync manages authentication, retries, and rate limits on both sides.
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Databricks: Delta Lake's Change Data Feed records row-level inserts, updates, and deletes, enabling incremental sync without full scans. Sage 300: Financial transactions flow through batches that must be posted, so writes typically create batch entries rather than posted documents directly. Stacksync's field mapping accounts for these differences between Databricks and Sage 300 without custom code.
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 Databricks and Sage 300.
Popular · 8 of 386
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Databricks ⇄ Global Shop Solutions -
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- Databricks ⇄ Infor M3
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Sage 300 ⇄ Firebolt -
Sage 300 ⇄ Google Cloud Platform -
Sage 300 ⇄ Greenplum -
Sage 300 ⇄ IBM Netezza
No integrations match .
