Real-time sync
Changes in Apache Kylin or Starburst Enterprise instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Kylin and Starburst Enterprise 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 Starburst Enterprise, so Starburst Enterprise 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.
When one platform is replacing the other, keep tables mirrored while workloads move over gradually, and cut over with nothing to backfill.
Mirror the datasets a BI tool, notebook, or application needs onto the platform it can actually reach.
Where different teams run different warehouses, sync the curated tables both rely on so their metrics agree by construction.
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 | Starburst Enterprise objects | |
|---|---|---|
| Cubes / Indexes Pre-computed aggregate structures that answer queries at low latency. | Materialized views Precomputed results that make repeated sync reads cheaper. | |
| Source Tables Hive or other upstream tables that builds read from. | Columns Typed per the Trino type system, mapped from each source's native types. | |
| Segments Time-ranged build units that partition pre-computed data. | Catalogs Each catalog maps to a connector (Iceberg, Hive, PostgreSQL, and others) exposing an external source. | |
| Build Jobs Batch jobs that compute or refresh segments, monitored via the REST API. | Schemas Namespaces within a catalog, mirroring the underlying source's databases or schemas. | |
| Projects Top-level workspaces that group models, tables, and jobs. | Tables Queryable relations; writes pass through to sources whose connectors support them. | |
| Models Star-schema definitions over source tables that determine what can be queried. | Views Engine-level SQL views used to shape federated data before syncing it out. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Kylin–Starburst Enterprise connection.
Changes in Apache Kylin or Starburst Enterprise instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Kylin or Starburst Enterprise 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 Starburst Enterprise record.
Track your Apache Kylin ⇄ Starburst Enterprise sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Kylin and Starburst Enterprise.
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 Starburst Enterprise 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 Starburst Enterprise 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 Starburst Enterprise — 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.
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 Starburst Enterprise: Query-based polling; Starburst is a query engine and exposes no change log of its own. 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: Segments, Build Jobs, Projects, Models, plus custom fields where Apache Kylin exposes them. On the Starburst Enterprise side: Tables, Views, Materialized views, Columns. 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 Starburst Enterprise. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for Apache Kylin and Starburst Enterprise: Migration without a big bang; Serve tools that only connect to one platform; Shared datasets across teams. When one platform is replacing the other, keep tables mirrored while workloads move over gradually, and cut over with nothing to backfill.
Apache Kylin: SQL over JDBC/ODBC plus a REST API for queries and administration. Authentication: Username/password (HTTP basic authentication on the REST API). Starburst Enterprise: ANSI SQL over JDBC/ODBC drivers and the Trino client REST protocol. Authentication: Deployment-dependent: username/password, LDAP, OAuth 2.0, or Kerberos. Stacksync manages authentication, retries, and rate limits on both sides.
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 386 integrations available for Apache Kylin and Starburst Enterprise.