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Data warehouse ⇄ Database

Apache Kylin to Google Cloud Spanner integration — real-time data sync

Keep Apache Kylin and Google Cloud Spanner 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 Google Cloud Spanner

Flow Apache Kylin data into Google Cloud Spanner 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 Google Cloud Spanner, so Google Cloud Spanner always reflects the current state of Apache Kylin — without exports, scripts, or schedulers.

Operational databases and analytical warehouses want the same data at different moments. Analysts want Google Cloud Spanner's rows in Apache Kylin, current and joinable, without a change-data-capture pipeline to maintain. Engineers want the outputs of warehouse work, such as aggregates, features, and segments, available in Google Cloud Spanner where the services that read from it get them at normal query latency.

Common use cases

  • Sync Kylin aggregates into a cloud warehouse to combine them with data Kylin does not cover.
  • Trigger downstream syncs after segment build jobs complete so consumers only read refreshed data.
  • Push billing or entitlement changes from finance tools into Spanner tables the application reads at runtime.
  • Use change streams to feed near-real-time copies of operational tables into an analytics warehouse.

Operational data in the warehouse, minus the pipeline

Rows from Google Cloud Spanner land in Apache Kylin as they change, replacing hand-built CDC and batch extract jobs.

Serve warehouse results at database speed

Aggregates or model outputs computed in Apache Kylin sync into Google Cloud Spanner, where whatever reads from that database gets them without querying the warehouse.

Fresh analytics without loading windows

Because changes stream continuously, analysts query current data instead of waiting for last night's load.

What you can sync between Apache Kylin and Google Cloud Spanner

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 Google Cloud Spanner objects
Segments Time-ranged build units that partition pre-computed data. Tables Relational tables mapped one-to-one to sync targets.
Build Jobs Batch jobs that compute or refresh segments, monitored via the REST API. Rows The unit of read and write in each sync cycle, keyed by primary key.
Projects Top-level workspaces that group models, tables, and jobs. Interleaved tables Child rows physically co-located with parents; synced as related records.
Models Star-schema definitions over source tables that determine what can be queried. Secondary indexes Used to make incremental read queries efficient on non-key columns.
Cubes / Indexes Pre-computed aggregate structures that answer queries at low latency. Change streams Capture inserts, updates, and deletes for log-style change data capture.
Source Tables Hive or other upstream tables that builds read from. Views Read-only projections useful for shaping data before it leaves Spanner.
What ships with Apache Kylin ⇄ Google Cloud Spanner

Connect Apache Kylin and Google Cloud Spanner for flexible, real-time data sync.

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

Real-time

Real-time sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Kylin or Google Cloud Spanner 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 Google Cloud Spanner record.

Observability

Monitoring

Track your Apache Kylin ⇄ Google Cloud Spanner 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 Google Cloud Spanner.

How the Apache Kylin and Google Cloud Spanner 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

Google Cloud Spanner

Integration surface
gRPC/REST client API with SQL query surface (GoogleSQL and PostgreSQL-interface dialects)
Authentication
Google Cloud IAM (service accounts)
Change detection
Change streams (log-style CDC), or timestamp-based polling queries
Capabilities
read · write · CDC
Rate limits
Throughput is bounded by the instance's provisioned compute capacity rather than a fixed API quota.
How it works

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

    Choose tables

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

Apache Kylin and Google Cloud Spanner 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.

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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 386 integrations available for Apache Kylin and Google Cloud Spanner.

Popular · 8 of 386
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