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Database ⇄ Data warehouse

Amazon RDS to Apache Kylin integration — real-time data sync

Keep Amazon RDS 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.

  • 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 Amazon RDS and Apache Kylin

Flow Apache Kylin data into Amazon RDS 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 Amazon RDS, so Amazon RDS 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 Amazon RDS'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 Amazon RDS 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.
  • Use a read replica as the sync source to keep change capture load off the primary instance
  • Bi-directional sync between an RDS database and a CRM so application data and sales data stay consistent without custom integration code

Fresh analytics without loading windows

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

Offload heavy reads

Point analytical queries at the synced copy in Apache Kylin and keep Amazon RDS focused on its operational workload.

Operational data in the warehouse, minus the pipeline

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

What you can sync between Amazon RDS 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.

Amazon RDS objects Apache Kylin objects
Schemas Namespaces within a database used to isolate synced tables. Segments Time-ranged build units that partition pre-computed data.
Tables The core sync target; rows map to records in connected SaaS systems. Build Jobs Batch jobs that compute or refresh segments, monitored via the REST API.
Views Read-side projections exposed to outbound syncs. Projects Top-level workspaces that group models, tables, and jobs.
Columns Field-level mapping targets, typed per the underlying engine. Models Star-schema definitions over source tables that determine what can be queried.
Primary and Unique Keys Match keys for idempotent upserts. Cubes / Indexes Pre-computed aggregate structures that answer queries at low latency.
Read Replicas Low-impact read endpoints often used as the source side of a sync. Source Tables Hive or other upstream tables that builds read from.
What ships with Amazon RDS ⇄ Apache Kylin

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

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

Real-time

Real-time sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon RDS 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 Amazon RDS or Apache Kylin record.

Observability

Monitoring

Track your Amazon RDS ⇄ 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 Amazon RDS and Apache Kylin.

How the Amazon RDS and Apache Kylin connectors work

Amazon RDS

Integration surface
SQL wire protocol of the chosen engine (PostgreSQL, MySQL, MariaDB, SQL Server, Oracle)
Authentication
Database credentials over SSL/TLS, or IAM database authentication on supported engines
Change detection
Engine-native log-based CDC: MySQL/MariaDB binlog, PostgreSQL logical replication, SQL Server CDC; enabled through RDS parameter groups, with polling as a fallback
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput depends on instance class, storage IOPS, and connection limits

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 Amazon RDS 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.

  1. 01

    Connect your apps

    Authenticate Amazon RDS 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Amazon RDS connected
    Apache Kylin connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon RDS 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Amazon RDS ⇄ Apache Kylin
    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
    Amazon RDS Apache Kylin
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon RDS and Apache Kylin 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
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ISO 27001
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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 Amazon RDS and Apache Kylin.

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