Real-time
Two-way sync
Changes in Databricks or Sage X3 instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ ERP
Databricks to Sage X3 integration — real-time, two-way sync
Keep Databricks and Sage X3 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
Case study
Migrated from Mulesoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Databricks and Sage X3
Put Sage X3's records in Databricks as live tables for reporting and analysis, without extract jobs, and write results back where Sage X3 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 X3 carries financials, operations, workforce data, or all three, the analysis belongs in Databricks next to everything else the company measures.
Stacksync syncs Work Orders, Stock / Inventory by site, Bills of Material, GL Journals from Sage X3 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 X3 where that is useful.
Common use cases
- Serve ML feature outputs computed in Databricks to production apps through a synced operational store.
- Land CRM and ERP records in Delta tables continuously so lakehouse models work from current operational data.
- Push orders from e-commerce or EDI channels into X3 sales orders and return delivery status.
- Publish per-site stock levels to storefronts and a WMS on a schedule.
Write-back where Sage X3 exposes writable fields
Classifications or reference values computed in Databricks sync back onto the corresponding records in Sage X3.
Where Sage X3 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 X3 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 X3
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 X3 objects | |
|---|---|---|
| Schemas Group tables and views; syncs typically target a dedicated schema per source system. | Business Partners (Customers and Suppliers) Shared partner master synced with CRMs and procurement systems. | |
| Delta Tables The primary read and write target; operational data lands here as managed or external tables. | Products Item master with units, costing, and site data, synced to commerce and PLM tools. | |
| Views Curated read-only projections used as sync sources for downstream tools. | Sales Orders Order documents written from external channels and read for fulfillment status. | |
| Materialized Views Precomputed results read on a schedule for reverse-ETL style syncs. | Purchase Orders Procurement documents synced with supplier-facing systems. | |
| Volumes Unity Catalog file storage used for staging bulk loads. | Work Orders Production orders read by MES and scheduling integrations. | |
| SQL Warehouses The compute endpoint a sync connects to for query execution. | Stock / Inventory by site On-hand and allocated quantities per site, synced to storefronts and WMS. |
What ships with Databricks ⇄ Sage X3
Connect Databricks and Sage X3 for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Databricks–Sage X3 connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Databricks or Sage X3 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 X3 record.
Observability
Monitoring
Track your Databricks ⇄ Sage X3 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 X3.
How the Databricks and Sage X3 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 X3
- Integration surface
- SOAP and REST web services published from X3 business objects; direct SQL access to the underlying database on-prem
- Authentication
- Dedicated web-service user credentials (Basic auth) against configured connection pools
- Change detection
- Scheduled polling; no general webhook surface on the classic web services layer
- Capabilities
- read · write
How it works
How to connect Databricks to Sage X3 — 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 X3 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 X3
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Databricks and Sage X3 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 X3Customers 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 X3Company company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Databricks and Sage X3 integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Databricks and Sage X3: authenticate both systems, choose the objects to sync (such as Databricks's Schemas and Delta Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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 X3: Write-back where Sage X3 exposes writable fields; Where Sage X3 holds the books: finance reporting from live data; Where Sage X3 is the HR system of record: workforce analytics. Classifications or reference values computed in Databricks sync back onto the corresponding records in Sage X3.
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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 X3: SOAP and REST web services published from X3 business objects; direct SQL access to the underlying database on-prem. Authentication: Dedicated web-service user credentials (Basic auth) against configured connection pools. 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 X3: X3 web services are generated from its business objects, so payloads mirror the on-screen entry transactions and enforce the same validation as manual entry. Stacksync's field mapping accounts for these differences between Databricks and Sage X3 without custom code.
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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 Databricks and Sage X3 records are not retained after a sync operation.
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 X3.
Popular · 8 of 386
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Databricks ⇄ Linnworks -
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Databricks ⇄ Macola ERP -
Databricks ⇄ Manhattan Associates WMS -
Sage X3 ⇄ Apache Druid -
Sage X3 ⇄ Apache Hive -
Sage X3 ⇄ Apache Impala -
Sage X3 ⇄ Apache Kylin
No integrations match .
