Real-time
Two-way sync
Changes in Databricks or Sage 100 instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ ERP
Databricks to Sage 100 integration — real-time, two-way sync
Keep Databricks and Sage 100 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 100
Put Sage 100's records in Databricks as live tables for reporting and analysis, without extract jobs, and write results back where Sage 100 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 100 carries financials, operations, workforce data, or all three, the analysis belongs in Databricks next to everything else the company measures.
Stacksync syncs Purchase Orders, GL Accounts, Journal Entries, Customers from Sage 100 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 100 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.
- Publish item, pricing, and on-hand inventory to online catalogs on a schedule.
- Replicate GL and sales history to a warehouse or Postgres database for reporting off the on-premise system.
Group reporting across systems
Combine Sage 100's records with data synced from other systems in Databricks for consolidated views no single system can produce.
Write-back where Sage 100 exposes writable fields
Classifications or reference values computed in Databricks sync back onto the corresponding records in Sage 100.
Where Sage 100 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.
What you can sync between Databricks and Sage 100
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 100 objects | |
|---|---|---|
| Schemas Group tables and views; syncs typically target a dedicated schema per source system. | AR Invoices Billing documents synced outward for payment status and revenue reporting. | |
| Delta Tables The primary read and write target; operational data lands here as managed or external tables. | Purchase Orders Procurement documents read for spend and receiving workflows. | |
| Views Curated read-only projections used as sync sources for downstream tools. | GL Accounts Chart of accounts read for mapping transactions in finance integrations. | |
| Materialized Views Precomputed results read on a schedule for reverse-ETL style syncs. | Journal Entries Posted GL activity replicated to warehouses for FP&A. | |
| Volumes Unity Catalog file storage used for staging bulk loads. | Customers AR customer master records synced to CRMs for account and credit visibility. | |
| SQL Warehouses The compute endpoint a sync connects to for query execution. | Vendors AP vendor master records synced with procurement and payment tools. |
What ships with Databricks ⇄ Sage 100
Connect Databricks and Sage 100 for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Databricks–Sage 100 connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Databricks or Sage 100 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 100 record.
Observability
Monitoring
Track your Databricks ⇄ Sage 100 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 100.
How the Databricks and Sage 100 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 100
- Integration surface
- ODBC (ProvideX driver) for reads; Business Object Interface (BOI) or Sage-provided web services for writes
- Authentication
- Sage 100 company and user credentials; ODBC DSN credentials for direct reads
- Change detection
- Scheduled polling; no webhooks or change log on the integration surface
- Capabilities
- read · write
How it works
How to connect Databricks to Sage 100 — 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 100 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 100
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Databricks and Sage 100 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 100Customers 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 100Company company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Databricks and Sage 100 integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Databricks and Sage 100: 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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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 100 records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Databricks and Sage 100 connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Databricks–Sage 100 integration in-house.
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Yes — Stacksync ships production-grade connectors for both Databricks and Sage 100. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Databricks: Delta Lake Change Data Feed for row-level changes; otherwise incremental polling on watermark columns. On Sage 100: Scheduled polling; no webhooks or change log on the integration surface. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Databricks side: Catalogs, Schemas, Delta Tables, Views, plus custom fields where Databricks exposes them. On the Sage 100 side: Purchase Orders, GL Accounts, Journal Entries, Customers. Stacksync auto-detects both schemas and converts types between the two systems.
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 100.
Popular · 8 of 386
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Databricks ⇄ SAP Business ByDesign -
Databricks ⇄ SAP Business One -
Databricks ⇄ Oracle Fusion ERP -
Databricks ⇄ Acumatica -
Sage 100 ⇄ StarRocks -
Sage 100 ⇄ Teradata Vantage -
Sage 100 ⇄ Tinybird -
Sage 100 ⇄ Vertica
No integrations match .
