Two-way sync
Changes in Cloudera Data Platform or Navan instantly reflect in both systems. No stale data, no manual imports.
Keep Cloudera Data Platform 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.
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 Cloudera Data Platform in real time, and the connection works in both directions: values computed in Cloudera Data Platform 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.
Invoices, payments, and customer records from Navan arrive in Cloudera Data Platform as queryable tables, current within seconds instead of a day behind.
Analysts combine Navan's financial records with product, marketing, or operational data already in Cloudera Data Platform for reporting the finance system cannot do alone.
Scores or segments computed in Cloudera Data Platform, like payment-risk flags or customer tiers, sync back onto records in Navan where the finance team can act on them.
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.
| Cloudera Data Platform objects | Navan objects | How this pairing syncs | |
|---|---|---|---|
| Iceberg tables Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads. | Repayments, Fees, and Adjustments Money-movement records including repayments, FX and platform fees, and credit or debit memos; read-only for reconciliation ledgers. | Iceberg tables is specific to Cloudera Data Platform and Repayments, Fees, and Adjustments to Navan — each maps to any object or custom field on the other side. | |
| Views SQL views that can present curated, sync-ready projections of raw lake data. | Users Employee and cardholder records referenced by every transaction; usually provisioned from an HRIS and used to map spend to people and departments. | Views is specific to Cloudera Data Platform and Users to Navan — each maps to any object or custom field on the other side. | |
| Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads. | 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. | Partitions is specific to Cloudera Data Platform and Card Transactions to Navan — each maps to any object or custom field on the other side. | |
| Object store / HDFS files Underlying Parquet or ORC files on HDFS or cloud storage backing the tables. | Connect Transactions External and personal card feed matched into Navan; retrieved read-only and coded with custom-field values through the transaction update endpoint. | Object store / HDFS files is specific to Cloudera Data Platform and Connect Transactions to Navan — each maps to any object or custom field on the other side. | |
| Databases Logical namespaces in the shared Hive Metastore that group tables for access control and syncs. | Manual Transactions Out-of-pocket reimbursements and payroll submissions; synced for approval and reimbursement, then GL-coded back into Navan. | Databases is specific to Cloudera Data Platform and Manual Transactions to Navan — each maps to any object or custom field on the other side. | |
| Hive tables Warehouse tables queried over JDBC/ODBC; classic managed tables are append-oriented. | 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. | Hive tables is specific to Cloudera Data Platform and Bookings 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.
DetectionStacksync polls Cloudera Data Platform for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL on timestamp or partition columns.
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 Cloudera Data Platform as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Cloudera Data Platform–Navan connection.
Changes in Cloudera Data Platform or Navan instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Cloudera Data Platform 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 Cloudera Data Platform or Navan record.
Track your Cloudera Data Platform ⇄ Navan sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Cloudera Data Platform 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 Cloudera Data Platform 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 Cloudera Data Platform 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 431 integrations available for Cloudera Data Platform and Navan.