Two-way sync
Changes in Amazon Aurora or Navan instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Aurora 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.
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 Bookings, Custom Fields, Receipts, Repayments, Fees, and Adjustments from Navan into Databases, Schemas, Tables, Views in Amazon Aurora and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against Amazon Aurora, and rows your code writes or updates flow back into Navan with validation, so the finance system stays the system of record.
Customers, invoices, and payments from Navan live in Amazon Aurora as regular tables or collections your team can join, index, and query.
Build dashboards and back-office tools directly on Amazon Aurora; Stacksync handles the API calls, rate limits, and retries against Navan.
Updates written to the synced tables in Amazon Aurora propagate into Navan, so automations can create or correct finance records without custom integration code.
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.
| Amazon Aurora objects | Navan objects | How this pairing syncs | |
|---|---|---|---|
| Tables Relational tables synced bi-directionally at row level. | Receipts Receipt images tied to each transaction; fetched read-only through presigned URLs for archival in a warehouse or document store. | Tables is specific to Amazon Aurora and Receipts to Navan — each maps to any object or custom field on the other side. | |
| Views Read-only query-backed sources for downstream syncs. | Repayments, Fees, and Adjustments Money-movement records including repayments, FX and platform fees, and credit or debit memos; read-only for reconciliation ledgers. | Views is specific to Amazon Aurora and Repayments, Fees, and Adjustments to Navan — each maps to any object or custom field on the other side. | |
| Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. | Users Employee and cardholder records referenced by every transaction; usually provisioned from an HRIS and used to map spend to people and departments. | Materialized Views is specific to Amazon Aurora and Users to Navan — each maps to any object or custom field on the other side. | |
| Columns and Data Types Standard MySQL or PostgreSQL types mapped during field mapping. | 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. | Columns and Data Types is specific to Amazon Aurora and Card Transactions to Navan — each maps to any object or custom field on the other side. | |
| Primary and Foreign Keys Constraints used to identify records and preserve relational integrity in syncs. | Connect Transactions External and personal card feed matched into Navan; retrieved read-only and coded with custom-field values through the transaction update endpoint. | Primary and Foreign Keys is specific to Amazon Aurora and Connect Transactions to Navan — each maps to any object or custom field on the other side. | |
| Read Replicas Reader endpoints that syncs can target to keep load off the writer. | Manual Transactions Out-of-pocket reimbursements and payroll submissions; synced for approval and reimbursement, then GL-coded back into Navan. | Read Replicas is specific to Amazon Aurora and Manual Transactions to Navan — 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.
DetectionChanges in Amazon Aurora are captured at the source via change data capture — no polling loop against its API. Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters.
DeliveryEach detected change is written to Navan through its API, with automatic retries and rate-limit backoff.
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 Amazon Aurora as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Aurora–Navan connection.
Changes in Amazon Aurora or Navan instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Aurora or Navan data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Amazon Aurora or Navan record.
Track your Amazon Aurora ⇄ Navan sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Aurora and Navan.
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 Amazon Aurora 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.
Pick the Amazon Aurora 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
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 429 integrations available for Amazon Aurora and Navan.