Skip to content
Data warehouse ⇄ Accounting and finance

Apache Hive to Navan integration — real-time, two-way sync

Keep Apache Hive 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.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Apache Hive and Navan

Land the financial records from Navan in Apache Hive continuously, and write results back, without building or maintaining a pipeline.

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 Hive in real time, and the connection works in both directions: values computed in Apache Hive 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.

Common use cases

  • 01 Sync Card Transactions and Manual Transactions into Postgres or a warehouse so finance analyzes corporate spend in SQL without manual CSV exports.
  • 02 Push coded expense transactions into an accounting system, then set their ERP sync status in Navan so the same records are not exported twice.
  • 03 Extract curated Hive tables into operational databases or SaaS tools so business teams use data locked in Hadoop.
  • 04 Load records from CRMs and databases into partitioned Hive tables for long-term analytical storage.

Common sync patterns

Finance analytics without ETL

Invoices, payments, and customer records from Navan arrive in Apache Hive as queryable tables, current within seconds instead of a day behind.

Revenue joined with everything else

Analysts combine Navan's financial records with product, marketing, or operational data already in Apache Hive for reporting the finance system cannot do alone.

Write-back of computed fields

Scores or segments computed in Apache Hive, like payment-risk flags or customer tiers, sync back onto records in Navan where the finance team can act on them.

What you can sync between Apache Hive and Navan

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 Hive objects Navan objects How this pairing syncs
External Tables Tables over existing files in HDFS or object storage, read without moving data. Connect Transactions External and personal card feed matched into Navan; retrieved read-only and coded with custom-field values through the transaction update endpoint. External Tables is specific to Apache Hive and Connect Transactions to Navan — each maps to any object or custom field on the other side.
Partitions Directory-mapped subsets (often by date) that bound incremental sync 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 Hive 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 Hive and Bookings to Navan — each maps to any object or custom field on the other side.
Materialized Views Precomputed results available in newer Hive versions for faster reads. Custom Fields Company metadata such as cost centers and project codes; discovered via GET and their option lists created or updated via async POST. Materialized Views is specific to Apache Hive and Custom Fields to Navan — each maps to any object or custom field on the other side.
ACID Tables ORC-backed transactional tables that support row-level insert, update, and delete. Receipts Receipt images tied to each transaction; fetched read-only through presigned URLs for archival in a warehouse or document store. ACID Tables is specific to Apache Hive and Receipts to Navan — each maps to any object or custom field on the other side.
Metastore Catalog The schema registry other engines (Spark, Presto, Impala) also read. Repayments, Fees, and Adjustments Money-movement records including repayments, FX and platform fees, and credit or debit memos; read-only for reconciliation ledgers. Metastore Catalog is specific to Apache Hive and Repayments, Fees, and Adjustments to Navan — each maps to any object or custom field on the other side.

How changes propagate between Apache Hive and Navan

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.

Apache Hive Navan Interval-based propagation

DetectionStacksync polls Apache Hive for changes on an incremental schedule, reading only records changed since the previous pass. Polling on partition values or timestamp columns.

DeliveryEach detected change is written to Navan through its API, with automatic retries and rate-limit backoff.

Navan Apache Hive Sub-second propagation

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 Hive as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Apache Hive: No API quotas; query latency reflects the batch-oriented execution engine underneath.
  • Navan: Requests are throttled with HTTP 429 and Navan recommends retrying with exponential backoff; the Expense/Public API must first be enabled per account by Navan.
What ships with Apache Hive ⇄ Navan

Connect Apache Hive and Navan for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Hive–Navan connection.

Real-time

Two-way sync

Changes in Apache Hive or Navan instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Hive or Navan data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Apache Hive or Navan record.

Observability

Monitoring

Track your Apache Hive ⇄ Navan sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Apache Hive and Navan.

How the Apache Hive and Navan connectors work

Apache Hive

Integration surface
SQL (HiveQL) over JDBC/ODBC via HiveServer2 (Thrift)
Authentication
Deployment-dependent: Kerberos, LDAP, or username/password
Change detection
Polling on partition values or timestamp columns; no general-purpose change log for external consumers
Capabilities
read · write
Rate limits
No API quotas; query latency reflects the batch-oriented execution engine underneath

Navan

Integration surface
REST (Expense API and Booking API)
Authentication
OAuth 2.0 client-credentials flow; an admin creates a client_id and client_secret under Settings > Integrations and exchanges them at Navan's OAuth token endpoint for a short-lived bearer token that is refreshed on expiry (separate US and EU regional hosts)
Change detection
Navan's Expense API supports webhooks for transaction and expense events; sync engines also poll GET endpoints with date-range and updatedAt filters (createdFrom/createdTo for bookings) to backfill history and reconcile. There is no database-level CDC.
Capabilities
read · write · webhooks
Rate limits
Requests are throttled with HTTP 429 and Navan recommends retrying with exponential backoff; the Expense/Public API must first be enabled per account by Navan.
How it works

How to connect Apache Hive to Navan — three steps, no code

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.

  1. 01

    Connect your apps

    Authenticate Apache Hive 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Apache Hive connected
    Navan connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apache Hive 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Apache Hive ⇄ Navan
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Apache Hive Navan
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

Apache Hive and Navan integration FAQ

SECURITY

Security teams trust Stacksync

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.

Learn more about security
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 435 integrations available for Apache Hive and Navan.

Popular · 7 of 435
All Apache Hive integrations All Navan integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own