Two-way sync
Changes in Bill or Databricks instantly reflect in both systems. No stale data, no manual imports.
Keep Bill 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.
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 Chart of Accounts, Bank Accounts, Vendor Credits and Credit Memos, Bills from Bill 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 Bill 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.
Scores or segments computed in Databricks, like payment-risk flags or customer tiers, sync back onto records in Bill where the finance team can act on them.
A continuously synced copy in Databricks gives you a durable, queryable record of financial data for month-end and audit questions.
Invoices, payments, and customer records from Bill arrive in Databricks as queryable tables, current within seconds instead of a day behind.
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.
| Bill objects | Databricks objects | How this pairing syncs | |
|---|---|---|---|
| Vendor Credits and Credit Memos AP and AR adjustments applied against bills and invoices; synced so balances stay accurate on both sides. | Views Curated read-only projections used as sync sources for downstream tools. | Vendor Credits and Credit Memos is specific to Bill and Views to Databricks — each maps to any object or custom field on the other side. | |
| Bills Accounts-payable amounts owed to vendors, with bill line items; read and created via /v3/bills and pulled incrementally by filtering on createdTime/updatedTime. | Materialized Views Precomputed results read on a schedule for reverse-ETL style syncs. | Bills is specific to Bill and Materialized Views to Databricks — each maps to any object or custom field on the other side. | |
| Vendors Payee master records; synced two-way with vendor/supplier tables in an ERP or accounting system so new payees don't have to be re-keyed. | Volumes Unity Catalog file storage used for staging bulk loads. | Vendors is specific to Bill and Volumes to Databricks — each maps to any object or custom field on the other side. | |
| Invoices Accounts-receivable invoices sent to customers; created and read via /v3/invoices to keep billing status aligned with the ERP or CRM. | SQL Warehouses The compute endpoint a sync connects to for query execution. | Invoices is specific to Bill and SQL Warehouses to Databricks — each maps to any object or custom field on the other side. | |
| Customers AR customer master records; mapped to customer/account records in a CRM or ERP so finance and sales share one view. | Change Data Feed Row-level change records on Delta tables that drive incremental reads. | Customers is specific to Bill and Change Data Feed to Databricks — each maps to any object or custom field on the other side. | |
| Payments Outgoing vendor payments and received customer payments; read for reconciliation and created to schedule bill pay. | Catalogs Top level of the Unity Catalog namespace, scoping which schemas a sync can address. | Payments is specific to Bill and Catalogs to Databricks — each maps to any object or custom field on the other side. |
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.
DetectionBill notifies Stacksync of record changes through webhook events. Webhook event subscriptions (POST /v3/subscriptions) for bills, vendors, payments, invoices, and bank accounts, with polling on.
DeliveryEach detected change is applied to Databricks as a row-level write, with types converted between the two schemas.
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 Bill through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Bill–Databricks connection.
Changes in Bill or Databricks instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Bill or Databricks data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Bill or Databricks record.
Track your Bill ⇄ Databricks sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Bill and Databricks.
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.
Authenticate Bill 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.
Pick the Bill 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Bill and Databricks: authenticate both systems, choose the objects to sync (such as Bill's Vendor Credits and Credit Memos and Bills), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Bill: Webhook event subscriptions (POST /v3/subscriptions) for bills, vendors, payments, invoices, and bank accounts, with polling on createdTime/updatedTime list filters as the fallback. 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 Bill side: Chart of Accounts, Bank Accounts, Vendor Credits and Credit Memos, Bills, plus custom fields where Bill exposes them. On the Databricks side: Volumes, SQL Warehouses, Change Data Feed, Catalogs. 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 Bill 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 Bill where the finance team can act on them.
Bill: REST/JSON (BILL v3 Connect API). Authentication: Session-based: POST /v3/login with username, password, organizationId, and a developer key (devKey) returns a sessionId that is passed with the devKey as headers on every subsequent call; OAuth is available for partner/embedded apps. 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.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 544 integrations available for Bill and Databricks.