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Data warehouse

Apache Kylin to ClickHouse integration — real-time data sync

Keep Apache Kylin and ClickHouse 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
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Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Apache Kylin and ClickHouse

Keep tables consistent across Apache Kylin and ClickHouse, for a migration, a multi-warehouse stack, or a dataset two platforms both need.

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

Companies end up with two warehouses for practical reasons: a migration in progress, teams that standardized on different platforms, an acquisition, or tools that only connect to one of them. The result is the same dataset maintained twice, with duplicated pipelines and numbers that almost match.

Common use cases

  • Expose Kylin query results to operational dashboards without granting access to the underlying Hadoop data.
  • Sync Kylin aggregates into a cloud warehouse to combine them with data Kylin does not cover.
  • Consolidate logs and business records from multiple sources into MergeTree tables for retention and reporting.
  • Land product event data alongside synced CRM accounts so analysts join usage and revenue in one place.

Consolidation after M&A

Bring the acquired company's warehouse data across continuously instead of through one-off dumps.

Migration without a big bang

When one platform is replacing the other, keep tables mirrored while workloads move over gradually, and cut over with nothing to backfill.

Serve tools that only connect to one platform

Mirror the datasets a BI tool, notebook, or application needs onto the platform it can actually reach.

What you can sync between Apache Kylin and ClickHouse

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 ClickHouse objects
Build Jobs Batch jobs that compute or refresh segments, monitored via the REST API. Views Saved queries used as curated, read-only sync sources.
Projects Top-level workspaces that group models, tables, and jobs. Materialized views Insert-time transformations that reshape incoming synced rows into aggregates.
Models Star-schema definitions over source tables that determine what can be queried. Distributed tables Query-routing tables over cluster shards in self-managed deployments.
Cubes / Indexes Pre-computed aggregate structures that answer queries at low latency. Dictionaries In-memory lookup structures refreshed from external sources, sometimes fed by syncs.
Source Tables Hive or other upstream tables that builds read from. Tables (MergeTree family) Columnar, append-optimized tables that serve as the destination for high-volume sync loads.
Segments Time-ranged build units that partition pre-computed data. Databases Namespaces that group tables and scope permissions for sync users.
What ships with Apache Kylin ⇄ ClickHouse

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

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

Real-time

Real-time sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Kylin or ClickHouse 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 ClickHouse record.

Observability

Monitoring

Track your Apache Kylin ⇄ ClickHouse 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 ClickHouse.

How the Apache Kylin and ClickHouse 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

ClickHouse

Integration surface
Native TCP protocol and HTTP interface; standard SQL dialect, with MySQL and PostgreSQL wire compatibility available
Authentication
Database credentials (username/password); ClickHouse Cloud issues per-service credentials over TLS
Change detection
No log-based CDC for consumers; incremental reads use polling on monotonic columns, and ClickHouse is usually the destination rather than the source
Capabilities
read · write
How it works

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

    Choose tables

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

Apache Kylin and ClickHouse 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.

Learn more about security
SOC 2 type II
ISO 27001
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GDPR
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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 386 integrations available for Apache Kylin and ClickHouse.

Popular · 8 of 386
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