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Database ⇄ Accounting and finance

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

Keep Jdbc 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 Jdbc and Navan

Work with Navan's financial data straight from Jdbc: read it with ordinary queries, write to it from your own code, and let Stacksync keep both sides consistent.

Engineers need finance data more often than finance systems make it easy to get: for internal tools, reporting services, or logic that reacts to invoices and payments. Working through the vendor API means rate limits, pagination, and glue code that has to be maintained forever.

Stacksync mirrors Connect Transactions, Manual Transactions, Bookings, Custom Fields from Navan into Columns, Primary keys & indexes, Schemas & catalogs, Stored procedures & functions in Jdbc and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against Jdbc, and rows your code writes or updates flow back into Navan with validation, so the finance system stays the system of record.

Common use cases

  • 01 Sync Card Transactions and Manual Transactions into Postgres or a warehouse so finance analyzes corporate spend in SQL without manual CSV exports.
  • 02 Push coded expense transactions into an accounting system, then set their ERP sync status in Navan so the same records are not exported twice.
  • 03 Incrementally sync a high-volume table by polling an updated_at or auto-increment column, keeping a downstream store fresh without full reloads.
  • 04 Consolidate several databases from different vendors into one relational store by syncing each through its own JDBC driver.

Common sync patterns

React to financial events

Changes in Navan appear in Jdbc as row changes, so you can trigger downstream logic with the database tooling you already use.

Query finance data like any other data

Customers, invoices, and payments from Navan live in Jdbc as regular tables or collections your team can join, index, and query.

Internal tools without API plumbing

Build dashboards and back-office tools directly on Jdbc; Stacksync handles the API calls, rate limits, and retries against Navan.

What you can sync between Jdbc 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.

Jdbc objects Navan objects How this pairing syncs
Stored procedures & functions Server-side routines callable via JDBC CallableStatement; invoked for custom read or write logic when a table-level mapping is not enough. Repayments, Fees, and Adjustments Money-movement records including repayments, FX and platform fees, and credit or debit memos; read-only for reconciliation ledgers. Stored procedures & functions is specific to Jdbc and Repayments, Fees, and Adjustments to Navan — each maps to any object or custom field on the other side.
Sequences Server-generated identity values; relevant when writing rows into tables whose keys are assigned by the database rather than the source system. Users Employee and cardholder records referenced by every transaction; usually provisioned from an HRIS and used to map spend to people and departments. Sequences is specific to Jdbc and Users to Navan — each maps to any object or custom field on the other side.
Tables The base relational tables in the target database; synced two-way as rows over SQL, with each table's primary key driving upserts and row-level updates. Card Transactions Navan physical and virtual card spend; read via GET, then GL codes, cost centers, and ERP sync status are written back per transaction through the transaction update endpoint. Tables is specific to Jdbc and Card Transactions to Navan — each maps to any object or custom field on the other side.
Views Stored SELECT queries exposed like tables; read-only projections synced outbound when raw base tables should not be exposed downstream. Connect Transactions External and personal card feed matched into Navan; retrieved read-only and coded with custom-field values through the transaction update endpoint. Views is specific to Jdbc and Connect Transactions to Navan — each maps to any object or custom field on the other side.
Columns Per-table fields with data types, nullability, and defaults; enumerated via DatabaseMetaData.getColumns to auto-generate and type-check field mappings. Manual Transactions Out-of-pocket reimbursements and payroll submissions; synced for approval and reimbursement, then GL-coded back into Navan. Columns is specific to Jdbc and Manual Transactions to Navan — each maps to any object or custom field on the other side.
Primary keys & indexes Key and index definitions read via DatabaseMetaData; the primary key is required for reliable upserts, and indexes on the cursor column keep incremental polling fast. 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. Primary keys & indexes is specific to Jdbc and Bookings to Navan — each maps to any object or custom field on the other side.

How changes propagate between Jdbc 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.

Jdbc Navan Interval-based propagation

DetectionStacksync polls Jdbc for changes on an incremental schedule, reading only records changed since the previous pass. No native change feed.

DeliveryEach detected change is written to Navan through its API, with automatic retries and rate-limit backoff.

Navan Jdbc 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 Jdbc as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Jdbc: No SaaS-style request quota. Throughput is bounded by the target database's max connections and connection-pool size, plus the CPU and I/O it shares with production queries, so heavy syncs can contend with live workloads.
  • 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 Jdbc ⇄ Navan

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Jdbc 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 Jdbc or Navan record.

Observability

Monitoring

Track your Jdbc ⇄ Navan sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Jdbc and Navan.

How the Jdbc and Navan connectors work

Jdbc

Integration surface
JDBC API (java.sql / javax.sql) executing SQL through a JDBC driver, typically a pure-Java Type 4 driver; reaches any relational database with a driver - PostgreSQL, MySQL, SQL Server, Oracle, IBM DB2, and others - via a JDBC URL such as jdbc:postgresql://host:5432/db.
Authentication
A database user's username and password supplied in the JDBC connection (DriverManager or a DataSource), typically over a TLS/SSL-encrypted connection. Some drivers add Kerberos, integrated Windows auth, or cloud IAM-token auth, but the available methods depend on the target database and its driver.
Change detection
No native change feed. Incremental sync polls a cursor column - an updated_at timestamp or an auto-incrementing key - to pull new and changed rows; detecting deletes needs soft-delete flags or database triggers writing to a shadow table. No webhooks.
Capabilities
read · write
Rate limits
No SaaS-style request quota. Throughput is bounded by the target database's max connections and connection-pool size, plus the CPU and I/O it shares with production queries, so heavy syncs can contend with live workloads.

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

    Choose tables

    Pick the Jdbc 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 · Jdbc ⇄ 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
    Jdbc Navan
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Jdbc 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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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:

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 426 integrations available for Jdbc and Navan.

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