Real-time
Real-time sync
Changes in Anaplan or Apache Kylin instantly reflect in both systems. No stale data, no manual imports.
Accounting and finance ⇄ Data warehouse
Anaplan to Apache Kylin integration — real-time data sync
Keep Anaplan and Apache Kylin in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Anaplan and Apache Kylin
Land the financial records from Anaplan in Apache Kylin continuously, and write results back, without building or maintaining a pipeline.
Apache Kylin is a read-only source: Stacksync reads its data in real time and delivers it into Anaplan, so Anaplan always reflects the current state of Apache Kylin — without exports, scripts, or schedulers.
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.
Common use cases
- 01 Load actuals from an ERP or warehouse into Anaplan modules so forecasts start from current financials.
- 02 Sync CRM pipeline data into Anaplan for sales capacity and quota planning.
- 03 Read pre-aggregated metrics from Kylin and sync them into CRM fields or planning spreadsheets on a schedule.
- 04 Expose Kylin query results to operational dashboards without granting access to the underlying Hadoop data.
Common sync patterns
Write-back of computed fields
Scores or segments computed in Apache Kylin, like payment-risk flags or customer tiers, sync back onto records in Anaplan where the finance team can act on them.
Queryable history for audit and reconciliation
A continuously synced copy in Apache Kylin gives you a durable, queryable record of financial data for month-end and audit questions.
Finance analytics without ETL
Invoices, payments, and customer records from Anaplan arrive in Apache Kylin as queryable tables, current within seconds instead of a day behind.
What you can sync between Anaplan and Apache Kylin
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.
| Anaplan objects | Apache Kylin objects | How this pairing syncs | |
|---|---|---|---|
| Models The planning workspaces that contain all data; syncs target a specific model. | Models Star-schema definitions over source tables that determine what can be queried. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in the writable direction. | |
| List Items Individual dimension members created or updated from external systems of record. | Build Jobs Batch jobs that compute or refresh segments, monitored via the REST API. | List Items is specific to Anaplan and Build Jobs to Apache Kylin — each maps to any object or custom field on the other side. | |
| Versions Scenario dimensions (actual, budget, forecast) that scope which slice a sync reads or writes. | Projects Top-level workspaces that group models, tables, and jobs. | Versions is specific to Anaplan and Projects to Apache Kylin — each maps to any object or custom field on the other side. | |
| Import and Export Actions Predefined data-movement definitions the Bulk API executes. | Cubes / Indexes Pre-computed aggregate structures that answer queries at low latency. | Import and Export Actions is specific to Anaplan and Cubes / Indexes to Apache Kylin — each maps to any object or custom field on the other side. | |
| Processes Ordered bundles of actions run as a unit during scheduled syncs. | Source Tables Hive or other upstream tables that builds read from. | Processes is specific to Anaplan and Source Tables to Apache Kylin — each maps to any object or custom field on the other side. | |
| Cell Data Individual intersections readable and writable through the transactional API. | Segments Time-ranged build units that partition pre-computed data. | Cell Data is specific to Anaplan and Segments to Apache Kylin — each maps to any object or custom field on the other side. |
How changes propagate between Anaplan and Apache Kylin
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.
Anaplan Apache Kylin Interval-based propagation
DetectionStacksync polls Anaplan for changes on an incremental schedule, reading only records changed since the previous pass. Polling and scheduled export actions.
DeliveryApache Kylin does not accept inbound record writes, so this direction carries requests rather than records: Apache Kylin's output flows back as field updates on the originating Anaplan records.
Apache Kylin Anaplan Interval-based propagation
DetectionStacksync polls Apache Kylin for changes on an incremental schedule, reading only records changed since the previous pass. Data freshness follows segment build and refresh jobs, so integrations poll query results.
DeliveryEach detected change is written to Anaplan through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Anaplan: Subject to the platform's API rate limits; large data movements are designed to run through bulk actions.
- Apache Kylin: No fixed API quotas; query capacity depends on the deployment and pre-computed index coverage.
What ships with Anaplan ⇄ Apache Kylin
Connect Anaplan and Apache Kylin for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Anaplan–Apache Kylin connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Anaplan or Apache Kylin 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 Anaplan or Apache Kylin record.
Observability
Monitoring
Track your Anaplan ⇄ Apache Kylin sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Anaplan and Apache Kylin.
How the Anaplan and Apache Kylin connectors work
Anaplan
- Integration surface
- REST APIs: a Bulk API that runs predefined import/export actions and a transactional API for model metadata and cell data
- Authentication
- Token-based sessions obtained via basic authentication, CA certificates, or OAuth 2.0 through Anaplan's authentication service
- Change detection
- Polling and scheduled export actions; the platform does not expose change events
- Capabilities
- read · write
- Rate limits
- Subject to the platform's API rate limits; large data movements are designed to run through bulk actions
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
How it works
How to connect Anaplan to Apache Kylin — 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.
- 01
Connect your apps
Authenticate Anaplan and Apache Kylin with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Anaplan
connected
Apache Kylin
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Anaplan and Apache Kylin 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.
objects · Anaplan ⇄ Apache KylinCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Anaplan Apache KylinCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Anaplan and Apache Kylin integration FAQ
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Yes. Stacksync provides a managed, real-time integration between Anaplan and Apache Kylin — Apache Kylin is a read-only source, so data flows from it into the other system: authenticate both systems, choose the objects to sync, map fields visually, and changes propagate in milliseconds — no code required.
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Change detection on Anaplan: Polling and scheduled export actions; the platform does not expose change events. On Apache Kylin: Not applicable for row-level capture; data freshness follows segment build and refresh jobs, so integrations poll query results. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Anaplan side: Line Items, Lists, List Items, Versions, plus custom fields where Anaplan exposes them. On the Apache Kylin side: Segments, Build Jobs, Projects, Models. Stacksync auto-detects both schemas and converts types between the two systems.
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Apache Kylin is a read-only source, so this integration runs one-way: Stacksync reads from Apache Kylin in real time and delivers into Anaplan. Field mapping and monitoring work the same as for two-way pairs.
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Common patterns for Anaplan and Apache Kylin: Write-back of computed fields; Queryable history for audit and reconciliation; Finance analytics without ETL. Scores or segments computed in Apache Kylin, like payment-risk flags or customer tiers, sync back onto records in Anaplan where the finance team can act on them.
-
Anaplan: REST APIs: a Bulk API that runs predefined import/export actions and a transactional API for model metadata and cell data. Authentication: Token-based sessions obtained via basic authentication, CA certificates, or OAuth 2.0 through Anaplan's authentication service. Apache Kylin: SQL over JDBC/ODBC plus a REST API for queries and administration. Authentication: Username/password (HTTP basic authentication on the REST API). Stacksync manages authentication, retries, and rate limits on both sides.
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.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
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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