Real-time
Two-way sync
Changes in Chargebee or Databricks instantly reflect in both systems. No stale data, no manual imports.
Accounting and finance ⇄ Data warehouse
Chargebee to Databricks integration — real-time, two-way sync
Keep Chargebee 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
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Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
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Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Chargebee and Databricks
Land the financial records from Chargebee in Databricks continuously, and write results back, without building or maintaining a pipeline.
Finance data belongs in the warehouse: revenue, invoices, payments, and customers joined with everything else the business measures. Getting it there usually means an extraction pipeline that breaks quietly and delivers yesterday's numbers.
Stacksync syncs Customers, Subscriptions, Invoices, Credit notes from Chargebee into tables in Databricks in real time, and the connection works in both directions: values computed in Databricks can be written back to fields in Chargebee where you want them operational. Schema changes are handled, API limits are managed, and the sync is something you configure rather than code you maintain.
Common use cases
- 01 Trigger dunning and churn-risk workflows by syncing failed transactions into support and CS tools.
- 02 Sync subscription status, plan, and MRR-relevant fields into the CRM so sales and success see billing state on the account.
- 03 Land CRM and ERP records in Delta tables continuously so lakehouse models work from current operational data.
- 04 Use Change Data Feed to propagate only changed rows to downstream apps instead of full-table scans.
Common sync patterns
Write-back of computed fields
Scores or segments computed in Databricks, like payment-risk flags or customer tiers, sync back onto records in Chargebee where the finance team can act on them.
Queryable history for audit and reconciliation
A continuously synced copy in Databricks gives you a durable, queryable record of financial data for month-end and audit questions.
Finance analytics without ETL
Invoices, payments, and customer records from Chargebee arrive in Databricks as queryable tables, current within seconds instead of a day behind.
What you can sync between Chargebee 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.
| Chargebee objects | Databricks objects | How this pairing syncs | |
|---|---|---|---|
| Customers Billing accounts matched to CRM accounts or users by email or external ID. | SQL Warehouses The compute endpoint a sync connects to for query execution. | Customers is specific to Chargebee and SQL Warehouses to Databricks — each maps to any object or custom field on the other side. | |
| Subscriptions Recurring billing state (plan, term, status) synced to CRM and product databases. | Change Data Feed Row-level change records on Delta tables that drive incremental reads. | Subscriptions is specific to Chargebee and Change Data Feed to Databricks — each maps to any object or custom field on the other side. | |
| Invoices Issued billing documents synced to accounting and revenue reporting. | Catalogs Top level of the Unity Catalog namespace, scoping which schemas a sync can address. | Invoices is specific to Chargebee and Catalogs to Databricks — each maps to any object or custom field on the other side. | |
| Credit notes Adjustments and refund documents needed for accurate revenue reconciliation. | Schemas Group tables and views; syncs typically target a dedicated schema per source system. | Credit notes is specific to Chargebee and Schemas to Databricks — each maps to any object or custom field on the other side. | |
| Items and item prices The product catalog (plans, addons, charges) referenced by every subscription. | Delta Tables The primary read and write target; operational data lands here as managed or external tables. | Items and item prices is specific to Chargebee and Delta Tables to Databricks — each maps to any object or custom field on the other side. | |
| Payment sources Stored payment methods; usually read-only metadata in syncs for compliance reasons. | Views Curated read-only projections used as sync sources for downstream tools. | Payment sources is specific to Chargebee and Views to Databricks — each maps to any object or custom field on the other side. |
How changes propagate between Chargebee and Databricks
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
Chargebee Databricks Sub-second propagation
DetectionChargebee notifies Stacksync of record changes through webhook events. Webhooks for all major object events, plus a pollable Events resource that records every change.
DeliveryEach detected change is applied to Databricks as a row-level write, with types converted between the two schemas.
Databricks Chargebee Sub-second propagation
DetectionChanges in Databricks are captured at the source via change data capture — no polling loop against its API. Delta Lake Change Data Feed for row-level changes.
DeliveryEach detected change is written to Chargebee through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Chargebee: Subject to plan-based API rate limits enforced per site.
- Databricks: Throughput depends on the SQL warehouse size; API calls are subject to workspace rate limits.
What ships with Chargebee ⇄ Databricks
Connect Chargebee and Databricks for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Chargebee–Databricks connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Chargebee 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 Chargebee or Databricks record.
Observability
Monitoring
Track your Chargebee ⇄ Databricks sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Chargebee and Databricks.
How the Chargebee and Databricks connectors work
Chargebee
- Integration surface
- REST API
- Authentication
- API key sent via HTTP basic authentication (key as the username), scoped per site with test and live environments
- Change detection
- Webhooks for all major object events, plus a pollable Events resource that records every change
- Capabilities
- read · write · webhooks
- Rate limits
- Subject to plan-based API rate limits enforced per site
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 Chargebee 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 Chargebee 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.
Chargebee
connected
Databricks
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Chargebee 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 · Chargebee ⇄ 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.
Chargebee DatabricksCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Chargebee and Databricks integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Chargebee and Databricks: authenticate both systems, choose the objects to sync (such as Chargebee's Customers and Subscriptions), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Change detection on Chargebee: Webhooks for all major object events, plus a pollable Events resource that records every change. On Databricks: Delta Lake Change Data Feed for row-level changes; otherwise incremental polling on watermark columns. 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 Chargebee side: Customers, Subscriptions, Invoices, Credit notes, plus custom fields where Chargebee exposes them. On the Databricks side: Materialized Views, Volumes, SQL Warehouses, Change Data Feed. 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.
-
Common patterns for Chargebee and Databricks: Write-back of computed fields; Queryable history for audit and reconciliation; Finance analytics without ETL. Scores or segments computed in Databricks, like payment-risk flags or customer tiers, sync back onto records in Chargebee where the finance team can act on them.
-
Chargebee: REST API. Authentication: API key sent via HTTP basic authentication (key as the username), scoped per site with test and live environments. 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.
SECURITY
Security teams trust 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
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Chargebee ⇄ Cloudera Data Platform -
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Databricks ⇄ Bill
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