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Data warehouse ⇄ ERP

Apache Kylin to DEAR Inventory integration — real-time data sync

Keep Apache Kylin and DEAR Inventory 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

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Why teams connect Apache Kylin and DEAR Inventory

Put DEAR Inventory's records in Apache Kylin as live tables for reporting and analysis, without extract jobs, and write results back where DEAR Inventory can use them.

Apache Kylin is a read-only source: Stacksync reads its data in real time and delivers it into DEAR Inventory, so DEAR Inventory always reflects the current state of Apache Kylin — without exports, scripts, or schedulers.

ERP data is some of the most asked-for data in the warehouse and some of the hardest to get: the record types are many, the APIs are strict, and extract jobs are brittle. Whether DEAR Inventory carries financials, operations, workforce data, or all three, the analysis belongs in Apache Kylin next to everything else the company measures.

Common use cases

  • Trigger downstream syncs after segment build jobs complete so consumers only read refreshed data.
  • Read pre-aggregated metrics from Kylin and sync them into CRM fields or planning spreadsheets on a schedule.
  • Keep supplier and purchase order data aligned with the accounting system for accrual accuracy.
  • Sync stock levels and product data to e-commerce storefronts and a CRM so sales quotes reflect real availability.

Write-back where DEAR Inventory exposes writable fields

Classifications or reference values computed in Apache Kylin sync back onto the corresponding records in DEAR Inventory.

Where DEAR Inventory holds the books: finance reporting from live data

Financial records land in Apache Kylin as they change, so period-end reporting queries current numbers rather than last night's extract.

Where DEAR Inventory is the HR system of record: workforce analytics

Worker and organization data syncs into Apache Kylin for headcount, cost, and planning analysis alongside other company data.

What you can sync between Apache Kylin and DEAR Inventory

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 Kylin objects DEAR Inventory objects
Models Star-schema definitions over source tables that determine what can be queried. Stock adjustments and transfers Inventory movement transactions that explain changes in availability.
Cubes / Indexes Pre-computed aggregate structures that answer queries at low latency. Assemblies / Production Bill-of-material and production records for light manufacturing workflows.
Source Tables Hive or other upstream tables that builds read from. Locations Warehouses and bins that scope stock levels and fulfillment.
Segments Time-ranged build units that partition pre-computed data. Products SKU records with pricing, suppliers, and bill-of-material links; the master data most syncs start from.
Build Jobs Batch jobs that compute or refresh segments, monitored via the REST API. Stock levels Per-location availability derived from inventory transactions; read-heavy in storefront syncs.
Projects Top-level workspaces that group models, tables, and jobs. Sale orders Customer orders through their pick/pack/ship lifecycle; synced with storefronts and CRMs.
What ships with Apache Kylin ⇄ DEAR Inventory

Connect Apache Kylin and DEAR Inventory for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Kylin–DEAR Inventory connection.

Real-time

Real-time sync

Changes in Apache Kylin or DEAR Inventory instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Kylin or DEAR Inventory 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 Kylin or DEAR Inventory record.

Observability

Monitoring

Track your Apache Kylin ⇄ DEAR Inventory sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Apache Kylin and DEAR Inventory.

How the Apache Kylin and DEAR Inventory connectors work

Apache Kylin

Integration surface
SQL over JDBC/ODBC plus a REST API for queries and administration
Authentication
Username/password (HTTP basic authentication on the REST API)
Change detection
Not applicable for row-level capture; data freshness follows segment build and refresh jobs, so integrations poll query results
Capabilities
read
Rate limits
No fixed API quotas; query capacity depends on the deployment and pre-computed index coverage

DEAR Inventory

Integration surface
REST API
Authentication
Account ID plus application key sent as request headers
Change detection
Polling with modified-since filters; webhook notifications for sale and purchase events are available on subscriptions that include the Automation module
Capabilities
read · write · webhooks
Rate limits
Subject to the platform's per-account API rate limits
How it works

How to connect Apache Kylin to DEAR Inventory — 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 Kylin and DEAR Inventory 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 Kylin connected
    DEAR Inventory connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apache Kylin and DEAR Inventory 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 Kylin ⇄ DEAR Inventory
    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 Kylin DEAR Inventory
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Apache Kylin and DEAR Inventory integration FAQ

SECURITY

Security teams love 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.

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:

Related integrations

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