Two-way sync
Changes in Apache Cassandra or Navan instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Cassandra 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 Receipts, Repayments, Fees, and Adjustments, Users, Card Transactions from Navan into Keyspaces, Tables, Partitions and Rows, Materialized Views in Apache Cassandra and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against Apache Cassandra, 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 Apache Cassandra as regular tables or collections your team can join, index, and query.
Build dashboards and back-office tools directly on Apache Cassandra; Stacksync handles the API calls, rate limits, and retries against Navan.
Updates written to the synced tables in Apache Cassandra 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.
| Apache Cassandra objects | Navan objects | How this pairing syncs | |
|---|---|---|---|
| Collections List, set, and map columns handled with type-aware field mapping. | 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. | Collections is specific to Apache Cassandra and Bookings to Navan — each maps to any object or custom field on the other side. | |
| Counters Increment-only counter columns, usually read-only in syncs. | Custom Fields Company metadata such as cost centers and project codes; discovered via GET and their option lists created or updated via async POST. | Counters is specific to Apache Cassandra and Custom Fields to Navan — each maps to any object or custom field on the other side. | |
| Keyspaces Top-level namespaces with replication settings that scope a sync connection. | Receipts Receipt images tied to each transaction; fetched read-only through presigned URLs for archival in a warehouse or document store. | Keyspaces is specific to Apache Cassandra and Receipts to Navan — each maps to any object or custom field on the other side. | |
| Tables Wide-column tables addressed by partition key, the unit of row-level sync. | Repayments, Fees, and Adjustments Money-movement records including repayments, FX and platform fees, and credit or debit memos; read-only for reconciliation ledgers. | Tables is specific to Apache Cassandra and Repayments, Fees, and Adjustments to Navan — each maps to any object or custom field on the other side. | |
| Partitions and Rows Records located by partition and clustering keys during reads and upserts. | Users Employee and cardholder records referenced by every transaction; usually provisioned from an HRIS and used to map spend to people and departments. | Partitions and Rows is specific to Apache Cassandra and Users to Navan — each maps to any object or custom field on the other side. | |
| Materialized Views Server-maintained denormalized views; considered experimental and disabled by default in recent releases. | 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. | Materialized Views is specific to Apache Cassandra and Card 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 Apache Cassandra are captured at the source via change data capture — no polling loop against its API. Commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and 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 written to Apache Cassandra through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Cassandra–Navan connection.
Changes in Apache Cassandra or Navan instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Cassandra 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 Cassandra or Navan record.
Track your Apache Cassandra ⇄ Navan sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Cassandra 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 Cassandra 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 Cassandra 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 425 integrations available for Apache Cassandra and Navan.