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Data warehouse ⇄ Accounting and finance

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

Keep Databricks and Navan in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Databricks and Navan

Land the financial records from Navan 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 Repayments, Fees, and Adjustments, Users, Card Transactions, Connect Transactions from Navan 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 Navan 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 Sync Users and department mappings from an HRIS into reporting tables so every transaction is attributed to a cost center and manager.
  • 02 Sync Card Transactions and Manual Transactions into Postgres or a warehouse so finance analyzes corporate spend in SQL without manual CSV exports.
  • 03 Serve ML feature outputs computed in Databricks to production apps through a synced operational store.
  • 04 Land CRM and ERP records in Delta tables continuously so lakehouse models work from current operational data.

Common sync patterns

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 Navan arrive in Databricks as queryable tables, current within seconds instead of a day behind.

Revenue joined with everything else

Analysts combine Navan's financial records with product, marketing, or operational data already in Databricks for reporting the finance system cannot do alone.

What you can sync between Databricks and Navan

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 Navan objects How this pairing syncs
Volumes Unity Catalog file storage used for staging bulk loads. Manual Transactions Out-of-pocket reimbursements and payroll submissions; synced for approval and reimbursement, then GL-coded back into Navan. Volumes is specific to Databricks and Manual Transactions to Navan — each maps to any object or custom field on the other side.
SQL Warehouses The compute endpoint a sync connects to for query execution. Bookings Flight, hotel, rail, and car reservations from the Booking API; pulled read-only by createdFrom/createdTo date range for trip and travel-spend reporting. SQL Warehouses is specific to Databricks and Bookings to Navan — each maps to any object or custom field on the other side.
Change Data Feed Row-level change records on Delta tables that drive incremental reads. Custom Fields Company metadata such as cost centers and project codes; discovered via GET and their option lists created or updated via async POST. Change Data Feed is specific to Databricks and Custom Fields to Navan — each maps to any object or custom field on the other side.
Catalogs Top level of the Unity Catalog namespace, scoping which schemas a sync can address. Receipts Receipt images tied to each transaction; fetched read-only through presigned URLs for archival in a warehouse or document store. Catalogs is specific to Databricks and Receipts to Navan — each maps to any object or custom field on the other side.
Schemas Group tables and views; syncs typically target a dedicated schema per source system. Repayments, Fees, and Adjustments Money-movement records including repayments, FX and platform fees, and credit or debit memos; read-only for reconciliation ledgers. Schemas is specific to Databricks and Repayments, Fees, and Adjustments to Navan — each maps to any object or custom field on the other side.
Delta Tables The primary read and write target; operational data lands here as managed or external tables. Users Employee and cardholder records referenced by every transaction; usually provisioned from an HRIS and used to map spend to people and departments. Delta Tables is specific to Databricks and Users to Navan — each maps to any object or custom field on the other side.

How changes propagate between Databricks and Navan

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.

Databricks Navan 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 Navan through its API, with automatic retries and rate-limit backoff.

Navan Databricks Sub-second propagation

DetectionNavan notifies Stacksync of record changes through webhook events. Navan's Expense API supports webhooks for transaction and expense events.

DeliveryEach detected change is applied to Databricks as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Databricks: Throughput depends on the SQL warehouse size; API calls are subject to workspace rate limits.
  • Navan: Requests are throttled with HTTP 429 and Navan recommends retrying with exponential backoff; the Expense/Public API must first be enabled per account by Navan.
What ships with Databricks ⇄ Navan

Connect Databricks and Navan for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Databricks–Navan connection.

Real-time

Two-way sync

Changes in Databricks or Navan instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Databricks or Navan 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 Navan record.

Observability

Monitoring

Track your Databricks ⇄ Navan 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 Navan.

How the Databricks and Navan 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

Navan

Integration surface
REST (Expense API and Booking API)
Authentication
OAuth 2.0 client-credentials flow; an admin creates a client_id and client_secret under Settings > Integrations and exchanges them at Navan's OAuth token endpoint for a short-lived bearer token that is refreshed on expiry (separate US and EU regional hosts)
Change detection
Navan's Expense API supports webhooks for transaction and expense events; sync engines also poll GET endpoints with date-range and updatedAt filters (createdFrom/createdTo for bookings) to backfill history and reconcile. There is no database-level CDC.
Capabilities
read · write · webhooks
Rate limits
Requests are throttled with HTTP 429 and Navan recommends retrying with exponential backoff; the Expense/Public API must first be enabled per account by Navan.
How it works

How to connect Databricks to Navan — 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.

  1. 01

    Connect your apps

    Authenticate Databricks and Navan with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Databricks connected
    Navan connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Databricks and Navan 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Databricks ⇄ Navan
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Databricks Navan
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Databricks and Navan integration FAQ

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.

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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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 545 integrations available for Databricks and Navan.

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