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Data warehouse ⇄ Storage

Apache Kylin to Sharepoint integration — real-time data sync

Keep Apache Kylin and Sharepoint 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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Why teams connect Apache Kylin and Sharepoint

Flow Apache Kylin data into Sharepoint in real time — no exports, no schedulers, no custom scripts.

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

Apache Kylin keeps the tables and query results a business reports on; Sharepoint keeps the raw files, documents, and objects that the same business produces and shares. The two overlap wherever a dataset lives as both — a file dropped in Sharepoint that has to become rows in Apache Kylin, or a result in Apache Kylin that people downstream need back as a file in Sharepoint. When that overlap is bridged by manual export and import or an overnight job, one side spends the day working from a stale copy.

Common use cases

  • 01 Sync Kylin aggregates into a cloud warehouse to combine them with data Kylin does not cover.
  • 02 Trigger downstream syncs after segment build jobs complete so consumers only read refreshed data.
  • 03 Two-way sync SharePoint List items with a database table so internal apps read and write structured records in SQL without calling the SharePoint API directly.
  • 04 Mirror document-library drive items and their metadata into a store to index files for search and governance, and push generated documents back into the right library.

Common sync patterns

Where Sharepoint is the shared drive: publish results back as files

Curated tables and query results from Apache Kylin are written to Sharepoint as files the rest of the business can open, keeping the shared copy current without a hand-run export.

One dataset, kept consistent both ways

Where the same dataset lives as a file in Sharepoint and a table in Apache Kylin, a change on either side propagates to the other, ending the drift between the file people read and the table people query.

Where Sharepoint holds the file inventory: make it queryable

The catalog of documents, owners, and folders in Sharepoint appears as Source Tables, Segments, Build Jobs, Projects in Apache Kylin, so file metadata can be joined against the rest of your data and reported on.

What you can sync between Apache Kylin and Sharepoint

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 Sharepoint objects How this pairing syncs
Build Jobs Batch jobs that compute or refresh segments, monitored via the REST API. Permissions and sharing Role assignments and sharing links on sites, list items, and drive items; read and written to manage access, requiring Sites.Manage.All or Sites.FullControl.All scopes. Build Jobs is specific to Apache Kylin and Permissions and sharing to Sharepoint — each maps to any object or custom field on the other side.
Projects Top-level workspaces that group models, tables, and jobs. Site pages Modern site pages via /sites/{id}/pages; read page content, layout, and metadata for indexing and content governance. Projects is specific to Apache Kylin and Site pages to Sharepoint — each maps to any object or custom field on the other side.
Models Star-schema definitions over source tables that determine what can be queried. Sites SharePoint site collections and subsites via /sites; read site properties and discover the document libraries (drives) and lists each site contains, addressed by hostname and site path or site ID. Models is specific to Apache Kylin and Sites to Sharepoint — each maps to any object or custom field on the other side.
Cubes / Indexes Pre-computed aggregate structures that answer queries at low latency. Lists Custom lists and libraries via /sites/{id}/lists; create and read lists along with their columns and content types so a target system can mirror or provision list definitions. Cubes / Indexes is specific to Apache Kylin and Lists to Sharepoint — each maps to any object or custom field on the other side.
Source Tables Hive or other upstream tables that builds read from. List items Rows in a SharePoint list via /lists/{id}/items with a fields facet of column values; full create, read, update, and delete, synced two-way with database rows. Source Tables is specific to Apache Kylin and List items to Sharepoint — each maps to any object or custom field on the other side.
Segments Time-ranged build units that partition pre-computed data. Drive items (document libraries) Files and folders in a library's drive via /drives and /drive/root; upload, download, move, delete, and read per-item metadata, synced two-way with a store. Segments is specific to Apache Kylin and Drive items (document libraries) to Sharepoint — each maps to any object or custom field on the other side.

How changes propagate between Apache Kylin and Sharepoint

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 Kylin Sharepoint 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 Sharepoint through its API, with automatic retries and rate-limit backoff.

Sharepoint Apache Kylin Sub-second propagation

DetectionSharepoint notifies Stacksync of record changes through webhook events. Delta query (pull) tracks created, updated, and deleted list items (/lists/{id}/items/delta) and drive items (/drives/{id}/root/delta) since the last.

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 Sharepoint records.

Rate-limit considerations

  • Apache Kylin: No fixed API quotas; query capacity depends on the deployment and pre-computed index coverage.
  • Sharepoint: SharePoint Online throttles per app, returning HTTP 429 (or 503) with a Retry-After header in seconds and IETF RateLimit-Limit, RateLimit-Remaining, and RateLimit-Reset headers; throttled requests still count toward limits, so clients honor the greater of Retry-After and RateLimit-Reset with exponential backoff.
What ships with Apache Kylin ⇄ Sharepoint

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

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

Real-time

Real-time sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Kylin or Sharepoint 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 Sharepoint record.

Observability

Monitoring

Track your Apache Kylin ⇄ Sharepoint 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 Sharepoint.

How the Apache Kylin and Sharepoint 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

Sharepoint

Integration surface
Microsoft Graph REST API (graph.microsoft.com/v1.0 and beta) covering SharePoint sites, lists, list items, columns, content types, and document-library drives and drive items; plus the classic SharePoint REST API (_api/web) and CSOM. Supports Graph JSON $batch (up to 20 requests per call).
Authentication
OAuth 2.0 via the Microsoft identity platform (Microsoft Entra ID). An app registration holds delegated or application (app-only) scopes such as Sites.Read.All, Sites.ReadWrite.All, Sites.Selected, Sites.Manage.All, or Sites.FullControl.All, plus Files.ReadWrite.All for drive content; application permissions require tenant admin consent.
Change detection
Delta query (pull) tracks created, updated, and deleted list items (/lists/{id}/items/delta) and drive items (/drives/{id}/root/delta) since the last deltaLink; change-notification subscriptions (push webhooks) POST near-real-time notifications for list and drive/root changes to a notification URL and must be renewed before they expire. Classic SharePoint list webhooks are also available.
Capabilities
read · write · webhooks
Rate limits
SharePoint Online throttles per app, returning HTTP 429 (or 503) with a Retry-After header in seconds and IETF RateLimit-Limit, RateLimit-Remaining, and RateLimit-Reset headers; throttled requests still count toward limits, so clients honor the greater of Retry-After and RateLimit-Reset with exponential backoff.
How it works

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

    Choose tables

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

Apache Kylin and Sharepoint integration FAQ

SECURITY

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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.

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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 383 integrations available for Apache Kylin and Sharepoint.

Popular · 7 of 383
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