Two-way sync
Changes in Apache Druid or Navan instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Druid 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 Receipts, Repayments, Fees, and Adjustments, Users, Card Transactions from Navan into tables in Apache Druid in real time, and the connection works in both directions: values computed in Apache Druid 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 Apache Druid 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 Apache Druid for reporting the finance system cannot do alone.
Scores or segments computed in Apache Druid, 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.
| Apache Druid objects | Navan objects | How this pairing syncs | |
|---|---|---|---|
| Ingestion Supervisors Long-running specs that pull from streams like Kafka; the write path into Druid. | Receipts Receipt images tied to each transaction; fetched read-only through presigned URLs for archival in a warehouse or document store. | Ingestion Supervisors is specific to Apache Druid and Receipts to Navan — each maps to any object or custom field on the other side. | |
| Lookups Key-value mappings joined at query time, refreshable from external systems. | Repayments, Fees, and Adjustments Money-movement records including repayments, FX and platform fees, and credit or debit memos; read-only for reconciliation ledgers. | Lookups is specific to Apache Druid and Repayments, Fees, and Adjustments to Navan — each maps to any object or custom field on the other side. | |
| Tasks Batch ingestion and compaction jobs monitored during data loads. | Users Employee and cardholder records referenced by every transaction; usually provisioned from an HRIS and used to map spend to people and departments. | Tasks is specific to Apache Druid and Users to Navan — each maps to any object or custom field on the other side. | |
| Datasources The table-like unit of storage and querying, the main target of reads and ingestion. | 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. | Datasources is specific to Apache Druid and Card Transactions to Navan — each maps to any object or custom field on the other side. | |
| Segments Time-partitioned immutable files that hold datasource data; ingestion produces them. | Connect Transactions External and personal card feed matched into Navan; retrieved read-only and coded with custom-field values through the transaction update endpoint. | Segments is specific to Apache Druid and Connect Transactions to Navan — each maps to any object or custom field on the other side. | |
| Dimensions String and categorical columns used for filtering and grouping in synced queries. | Manual Transactions Out-of-pocket reimbursements and payroll submissions; synced for approval and reimbursement, then GL-coded back into Navan. | Dimensions is specific to Apache Druid 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.
DetectionStacksync polls Apache Druid for changes on an incremental schedule, reading only records changed since the previous pass. Data enters Druid through streaming or batch ingestion rather than row updates.
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 Druid 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 Druid–Navan connection.
Changes in Apache Druid or Navan instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Druid 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 Druid or Navan record.
Track your Apache Druid ⇄ Navan sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Druid 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 Druid 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 Druid 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 435 integrations available for Apache Druid and Navan.