Real-time
Two-way sync
Changes in Brightpearl or Databricks instantly reflect in both systems. No stale data, no manual imports.
ERP ⇄ Data warehouse
Brightpearl to Databricks integration — real-time, two-way sync
Keep Brightpearl 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
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 Brightpearl and Databricks
Put Brightpearl's records in Databricks as live tables for reporting and analysis, without extract jobs, and write results back where Brightpearl 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 Brightpearl carries financials, operations, workforce data, or all three, the analysis belongs in Databricks next to everything else the company measures.
Stacksync syncs Contacts, Inventory and warehouses, Goods-out notes, Invoices and payments from Brightpearl 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 Brightpearl where that is useful.
Common use cases
- Use Change Data Feed to propagate only changed rows to downstream apps instead of full-table scans.
- Serve ML feature outputs computed in Databricks to production apps through a synced operational store.
- Mirror inventory levels from Brightpearl into a database that feeds availability to storefronts and marketplaces.
- Push invoices and payments into an accounting platform for reconciliation.
Where Brightpearl runs operations: order and supply analysis
Operational records become queryable tables in Databricks, joinable with sales and finance data.
Group reporting across systems
Combine Brightpearl's records with data synced from other systems in Databricks for consolidated views no single system can produce.
Write-back where Brightpearl exposes writable fields
Classifications or reference values computed in Databricks sync back onto the corresponding records in Brightpearl.
What you can sync between Brightpearl 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.
| Brightpearl objects | Databricks objects | |
|---|---|---|
| Purchase orders Supplier orders synced with procurement or accounting systems. | Schemas Group tables and views; syncs typically target a dedicated schema per source system. | |
| Contacts Customers and suppliers in one contact model, matched to CRM records by email or reference. | Delta Tables The primary read and write target; operational data lands here as managed or external tables. | |
| Inventory and warehouses On-hand and allocated stock by warehouse, read for availability publishing. | Views Curated read-only projections used as sync sources for downstream tools. | |
| Goods-out notes Fulfillment documents that carry picking and shipping status back to order sources. | Materialized Views Precomputed results read on a schedule for reverse-ETL style syncs. | |
| Invoices and payments Financial documents synced to accounting platforms for reconciliation. | Volumes Unity Catalog file storage used for staging bulk loads. | |
| Custom fields Per-object custom attributes included in field mappings. | SQL Warehouses The compute endpoint a sync connects to for query execution. |
What ships with Brightpearl ⇄ Databricks
Connect Brightpearl and Databricks for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Brightpearl–Databricks connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Brightpearl 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 Brightpearl or Databricks record.
Observability
Monitoring
Track your Brightpearl ⇄ Databricks sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Brightpearl and Databricks.
How the Brightpearl and Databricks connectors work
Brightpearl
- Integration surface
- REST API, organized into services (order, product, contact, warehouse, accounting)
- Authentication
- OAuth 2.0 (authorization code grant) for current apps; legacy private and public apps authenticate with app reference and account token headers
- Change detection
- Webhooks for object created/updated events, with resource search polling as a fallback
- Capabilities
- read · write · webhooks
- Rate limits
- Requests are throttled per account under Brightpearl's API usage policies; bulk operations should use batch endpoints
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 Brightpearl 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.
- 01
Connect your apps
Authenticate Brightpearl 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.
Brightpearl
connected
Databricks
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Brightpearl 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.
objects · Brightpearl ⇄ DatabricksCustomers 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.
Brightpearl DatabricksCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Brightpearl and Databricks integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Brightpearl and Databricks: authenticate both systems, choose the objects to sync (such as Brightpearl's Purchase orders and Contacts), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Common patterns for Brightpearl and Databricks: Where Brightpearl runs operations: order and supply analysis; Group reporting across systems; Write-back where Brightpearl exposes writable fields. Operational records become queryable tables in Databricks, joinable with sales and finance data.
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Brightpearl: REST API, organized into services (order, product, contact, warehouse, accounting). Authentication: OAuth 2.0 (authorization code grant) for current apps; legacy private and public apps authenticate with app reference and account token headers. 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.
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Databricks: SQL warehouses expose standard JDBC/ODBC connectivity plus a REST statement-execution endpoint, so tools can integrate without cluster management. Brightpearl: The API is split into functional services (order-service, product-service, contact-service, warehouse-service, accounting-service), each with its own resource paths. Stacksync's field mapping accounts for these differences between Brightpearl and Databricks 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 Brightpearl and Databricks 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 Brightpearl and Databricks connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Brightpearl–Databricks integration in-house.
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 Brightpearl and Databricks.
Popular · 8 of 386
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Brightpearl ⇄ Exasol -
Brightpearl ⇄ Firebolt -
Brightpearl ⇄ Google Cloud Platform -
Brightpearl ⇄ Greenplum -
Databricks ⇄ Sage 300 - Databricks ⇄ Sage Intacct
- Databricks ⇄ Sage X3
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Databricks ⇄ SAP
No integrations match .
