Two-way sync
Changes in Apache Impala or Navan instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Impala 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 Connect Transactions, Manual Transactions, Bookings, Custom Fields from Navan into tables in Apache Impala in real time, and the connection works in both directions: values computed in Apache Impala 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.
Scores or segments computed in Apache Impala, like payment-risk flags or customer tiers, sync back onto records in Navan where the finance team can act on them.
A continuously synced copy in Apache Impala gives you a durable, queryable record of financial data for month-end and audit questions.
Invoices, payments, and customer records from Navan arrive in Apache Impala 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.
| Apache Impala objects | Navan objects | How this pairing syncs | |
|---|---|---|---|
| Users and Roles Principals (often via Ranger/Sentry) used to grant scoped read access. | Users Employee and cardholder records referenced by every transaction; usually provisioned from an HRIS and used to map spend to people and departments. | Users and Roles is specific to Apache Impala and Users to Navan — each maps to any object or custom field on the other side. | |
| Databases Namespaces shared with the Hive Metastore that scope tables. | 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. | Databases is specific to Apache Impala and Card Transactions to Navan — each maps to any object or custom field on the other side. | |
| Tables HDFS or object-storage backed tables (commonly Parquet) read at interactive speed. | Connect Transactions External and personal card feed matched into Navan; retrieved read-only and coded with custom-field values through the transaction update endpoint. | Tables is specific to Apache Impala and Connect Transactions to Navan — each maps to any object or custom field on the other side. | |
| Partitions Partition values used to limit scans and drive incremental reads. | Manual Transactions Out-of-pocket reimbursements and payroll submissions; synced for approval and reimbursement, then GL-coded back into Navan. | Partitions is specific to Apache Impala and Manual Transactions to Navan — each maps to any object or custom field on the other side. | |
| Views Logical views readable as modeled sources. | 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. | Views is specific to Apache Impala and Bookings to Navan — each maps to any object or custom field on the other side. | |
| Kudu Tables Kudu-backed tables that support row-level insert, update, upsert, and delete. | Custom Fields Company metadata such as cost centers and project codes; discovered via GET and their option lists created or updated via async POST. | Kudu Tables is specific to Apache Impala and Custom Fields 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 Apache Impala for changes on an incremental schedule, reading only records changed since the previous pass. Polling on partition or timestamp 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 Apache Impala as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Impala–Navan connection.
Changes in Apache Impala or Navan instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Impala 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 Apache Impala or Navan record.
Track your Apache Impala ⇄ Navan sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Impala 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 Apache Impala 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 Apache Impala 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 430 integrations available for Apache Impala and Navan.