Real-time sync
Changes in Apache Kylin or Couchbase instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Kylin and Couchbase 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 Couchbase, so Couchbase 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 Couchbase'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 Couchbase where the services that read from it get them at normal query latency.
Point analytical queries at the synced copy in Apache Kylin and keep Couchbase focused on its operational workload.
Rows from Couchbase land in Apache Kylin as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in Apache Kylin sync into Couchbase, where whatever reads from that database gets them without querying the warehouse.
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 | Couchbase objects | How this pairing syncs | |
|---|---|---|---|
| Models Star-schema definitions over source tables that determine what can be queried. | Scopes Namespaces inside a bucket used to group collections, similar to schemas. | Models is specific to Apache Kylin and Scopes to Couchbase — each maps to any object or custom field on the other side. | |
| Cubes / Indexes Pre-computed aggregate structures that answer queries at low latency. | Collections Table-like groupings of documents that syncs typically map one-to-one to destination tables. | Cubes / Indexes is specific to Apache Kylin and Collections to Couchbase — each maps to any object or custom field on the other side. | |
| Source Tables Hive or other upstream tables that builds read from. | JSON Documents The core records; schemaless JSON keyed by document id, flattened or mapped to relational rows in syncs. | Source Tables is specific to Apache Kylin and JSON Documents to Couchbase — each maps to any object or custom field on the other side. | |
| Segments Time-ranged build units that partition pre-computed data. | Global Secondary Indexes Indexes that make SQL++ query-based extraction efficient. | Segments is specific to Apache Kylin and Global Secondary Indexes to Couchbase — 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. | XDCR replications Cluster-to-cluster replication streams, useful context when choosing a sync source cluster. | Build Jobs is specific to Apache Kylin and XDCR replications to Couchbase — each maps to any object or custom field on the other side. | |
| Projects Top-level workspaces that group models, tables, and jobs. | Full-text search indexes Search indexes over documents, relevant when syncing searchable content. | Projects is specific to Apache Kylin and Full-text search indexes to Couchbase — 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 applied to Couchbase as a row-level write, with types converted between the two schemas.
DetectionChanges in Couchbase are captured at the source via change data capture — no polling loop against its API. Database Change Protocol (DCP) streams document mutations.
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 Couchbase records.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Kylin–Couchbase connection.
Changes in Apache Kylin or Couchbase instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Kylin or Couchbase 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 Couchbase record.
Track your Apache Kylin ⇄ Couchbase sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Kylin and Couchbase.
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 Couchbase 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 Couchbase 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 Couchbase — 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.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Apache Kylin and Couchbase connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Kylin–Couchbase integration in-house.
Yes — Stacksync ships production-grade connectors for both Apache Kylin and Couchbase. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Apache Kylin: Not applicable for row-level capture; data freshness follows segment build and refresh jobs, so integrations poll query results. On Couchbase: Database Change Protocol (DCP) streams document mutations; SQL++ polling on document fields as an alternative. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Apache Kylin side: Build Jobs, Projects, Models, Cubes / Indexes, plus custom fields where Apache Kylin exposes them. On the Couchbase side: Buckets, Scopes, Collections, JSON Documents. Stacksync auto-detects both schemas and converts types between the two systems.
Apache Kylin is a read-only source, so this integration runs one-way: Stacksync reads from Apache Kylin in real time and delivers into Couchbase. Field mapping and monitoring work the same as for two-way pairs.
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 309 integrations available for Apache Kylin and Couchbase.