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Data warehouse ⇄ Database

Apache Kylin to OpenSearch integration — real-time data sync

Keep Apache Kylin and OpenSearch 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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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Apache Kylin and OpenSearch

Flow Apache Kylin data into OpenSearch 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 OpenSearch, so OpenSearch 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 OpenSearch'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 OpenSearch where the services that read from it get them at normal query latency.

Common use cases

  • 01 Read pre-aggregated metrics from Kylin and sync them into CRM fields or planning spreadsheets on a schedule.
  • 02 Expose Kylin query results to operational dashboards without granting access to the underlying Hadoop data.
  • 03 Keep Postgres as the source of truth while mirroring rows to OpenSearch for full-text and vector queries.
  • 04 Index support tickets and activity logs from SaaS tools for operational dashboards.

Common sync patterns

Offload heavy reads

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

Operational data in the warehouse, minus the pipeline

Rows from OpenSearch 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 OpenSearch, where whatever reads from that database gets them without querying the warehouse.

What you can sync between Apache Kylin and OpenSearch

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 OpenSearch objects How this pairing syncs
Build Jobs Batch jobs that compute or refresh segments, monitored via the REST API. Indexes The core container; synced records land in indexes with defined mappings Build Jobs is specific to Apache Kylin and Indexes to OpenSearch — each maps to any object or custom field on the other side.
Projects Top-level workspaces that group models, tables, and jobs. Documents JSON records written via the index and bulk APIs and read via search queries Projects is specific to Apache Kylin and Documents to OpenSearch — 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. Index aliases Stable names over rotating indexes, used for zero-downtime reindex during backfills Models is specific to Apache Kylin and Index aliases to OpenSearch — each maps to any object or custom field on the other side.
Cubes / Indexes Pre-computed aggregate structures that answer queries at low latency. Index templates Mapping and settings presets applied to new indexes a sync creates Cubes / Indexes is specific to Apache Kylin and Index templates to OpenSearch — each maps to any object or custom field on the other side.
Source Tables Hive or other upstream tables that builds read from. Ingest pipelines Server-side processors that transform documents as they are written Source Tables is specific to Apache Kylin and Ingest pipelines to OpenSearch — each maps to any object or custom field on the other side.
Segments Time-ranged build units that partition pre-computed data. Data streams Append-oriented time-series storage for logs and events pushed from source systems Segments is specific to Apache Kylin and Data streams to OpenSearch — each maps to any object or custom field on the other side.

How changes propagate between Apache Kylin and OpenSearch

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

OpenSearch Apache Kylin Interval-based propagation

DetectionStacksync polls OpenSearch for changes on an incremental schedule, reading only records changed since the previous pass. No native change feed.

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 OpenSearch records.

Rate-limit considerations

  • Apache Kylin: No fixed API quotas; query capacity depends on the deployment and pre-computed index coverage.
  • OpenSearch: Throughput bounded by cluster sizing rather than fixed API quotas.
What ships with Apache Kylin ⇄ OpenSearch

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

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

Real-time

Real-time sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Kylin or OpenSearch 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 OpenSearch record.

Observability

Monitoring

Track your Apache Kylin ⇄ OpenSearch 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 OpenSearch.

How the Apache Kylin and OpenSearch 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

OpenSearch

Integration surface
REST API over HTTP(S) with JSON payloads
Authentication
basic authentication with the security plugin, or AWS IAM request signing on Amazon OpenSearch Service
Change detection
no native change feed; reads rely on queries with scroll or point-in-time polling
Capabilities
read · write
Rate limits
throughput bounded by cluster sizing rather than fixed API quotas
How it works

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

    Choose tables

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

Apache Kylin and OpenSearch integration FAQ

SECURITY

Security teams trust 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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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
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