Chargebee to Databricks integration — real-time, two-way sync

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.

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.

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.