Real-time sync
Changes in Apache Kylin or SingleStore instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Kylin and SingleStore 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 SingleStore, so SingleStore 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 SingleStore'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 SingleStore 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 SingleStore focused on its operational workload.
Rows from SingleStore 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 SingleStore, 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 | SingleStore objects | |
|---|---|---|
| Build Jobs Batch jobs that compute or refresh segments, monitored via the REST API. | Databases The connection target containing the tables a sync addresses. | |
| Projects Top-level workspaces that group models, tables, and jobs. | Tables (rowstore and columnstore) Primary read/write target; storage type affects whether a table suits point lookups or scans. | |
| Models Star-schema definitions over source tables that determine what can be queried. | Views Read-only projections used as curated sync sources. | |
| Cubes / Indexes Pre-computed aggregate structures that answer queries at low latency. | Reference Tables Small tables replicated to every node, often used for dimension data in syncs. | |
| Source Tables Hive or other upstream tables that builds read from. | Pipelines Native ingestion jobs from Kafka or object storage that coexist with external syncs. | |
| Segments Time-ranged build units that partition pre-computed data. | Stored Procedures Existing logic sometimes invoked on write paths. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Kylin–SingleStore connection.
Changes in Apache Kylin or SingleStore instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Kylin or SingleStore 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 SingleStore record.
Track your Apache Kylin ⇄ SingleStore sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Kylin and SingleStore.
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 SingleStore 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 SingleStore 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 SingleStore — 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.
On the Apache Kylin side: Source Tables, Segments, Build Jobs, Projects, plus custom fields where Apache Kylin exposes them. On the SingleStore side: Indexes and Shard Keys, Databases, Tables (rowstore and columnstore), Views. 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 SingleStore. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for Apache Kylin and SingleStore: Offload heavy reads; Operational data in the warehouse, minus the pipeline; Serve warehouse results at database speed. Point analytical queries at the synced copy in Apache Kylin and keep SingleStore focused on its operational workload.
Apache Kylin: SQL over JDBC/ODBC plus a REST API for queries and administration. Authentication: Username/password (HTTP basic authentication on the REST API). SingleStore: SQL over the MySQL wire protocol; an HTTP Data API is also available for SQL over REST. Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.
Apache Kylin: Data enters Kylin through batch build jobs from upstream sources such as Hive; there is no row-level write API for external systems. SingleStore: SingleStore is compatible with the MySQL wire protocol, so standard MySQL drivers and clients connect without modification. Stacksync's field mapping accounts for these differences between Apache Kylin and SingleStore without custom code.
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 SingleStore.