Real-time sync
Changes in Apache Kylin or Monday instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Kylin and Monday in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Apache Kylin is a read-only source: Stacksync reads its data in real time and delivers it into Monday, so Monday always reflects the current state of Apache Kylin — without exports, scripts, or schedulers.
Whatever Monday is used for, it accumulates data the rest of the company wants to analyze, and that data usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay for it.
A continuously synced copy in Apache Kylin preserves a queryable record even as data ages out of Monday or gets changed inside it.
Records and events from Monday land in Apache Kylin as queryable tables, current within seconds and ready to join with the rest of the warehouse.
Combine Monday's data with data from every other synced system to answer questions no single tool can.
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 | Monday objects | How this pairing syncs | |
|---|---|---|---|
| Models Star-schema definitions over source tables that determine what can be queried. | Items Rows within a board and the primary record; synced two-way and created, updated, archived, or deleted via GraphQL mutations. | Models is specific to Apache Kylin and Items to Monday — each maps to any object or custom field on the other side. | |
| Cubes / Indexes Pre-computed aggregate structures that answer queries at low latency. | Subitems Nested rows under items, stored on a separate hidden board; synced as a child table linked to the parent item. | Cubes / Indexes is specific to Apache Kylin and Subitems to Monday — each maps to any object or custom field on the other side. | |
| Source Tables Hive or other upstream tables that builds read from. | Column values Typed fields (status, date, people, numbers, connect-boards); polymorphic JSON usually written together via change_multiple_column_values. | Source Tables is specific to Apache Kylin and Column values to Monday — each maps to any object or custom field on the other side. | |
| Segments Time-ranged build units that partition pre-computed data. | Groups Named sections that group items inside a board; synced as a grouping attribute or category field on the row. | Segments is specific to Apache Kylin and Groups to Monday — each maps to any object or custom field on the other side. | |
| Build Jobs Batch jobs that compute or refresh segments, monitored via the REST API. | Updates Comment and activity threads attached to items; read out into a database for reporting or written back as notes. | Build Jobs is specific to Apache Kylin and Updates to Monday — each maps to any object or custom field on the other side. | |
| Projects Top-level workspaces that group models, tables, and jobs. | Users Account members referenced by people columns; read to resolve owner and assignee IDs to names and emails. | Projects is specific to Apache Kylin and Users to Monday — 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.
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 Monday through its API, with automatic retries and rate-limit backoff.
DetectionMonday notifies Stacksync of record changes through webhook events. Board-scoped webhooks (create_item, change_column_value, item_deleted, and similar) for real-time events.
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 Monday records.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Kylin–Monday connection.
Changes in Apache Kylin or Monday instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Kylin or Monday 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 Kylin or Monday record.
Track your Apache Kylin ⇄ Monday sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Kylin and Monday.
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 Kylin and Monday 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 Kylin and Monday 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.
Yes. Stacksync provides a managed, real-time integration between Apache Kylin and Monday — 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.
Apache Kylin is a read-only source, so this integration runs one-way: Stacksync reads from Apache Kylin in real time and delivers into Monday. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for Apache Kylin and Monday: History that outlives the tool; Analytics on Monday's data; Cross-tool reporting. A continuously synced copy in Apache Kylin preserves a queryable record even as data ages out of Monday or gets changed inside it.
Apache Kylin: SQL over JDBC/ODBC plus a REST API for queries and administration. Authentication: Username/password (HTTP basic authentication on the REST API). Monday: GraphQL API (single endpoint, api.monday.com/v2). Authentication: OAuth 2.0 for installed apps, or a per-user personal API token (admin/member scope); a date-based API version is sent via request header. Stacksync manages authentication, retries, and rate limits on both sides.
Monday: Column values are polymorphic JSON that differ by column type; writes must send correctly shaped values, typically batched via change_multiple_column_values. Apache Kylin: It exposes both ANSI-SQL access over JDBC/ODBC and a REST API used for querying and for managing models, segments, and jobs. Stacksync's field mapping accounts for these differences between Apache Kylin and Monday without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Apache Kylin and Monday records are not retained after a sync operation.
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 397 integrations available for Apache Kylin and Monday.