Real-time sync
Changes in Apache Kylin or Redis Enterprise instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Kylin and Redis 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 Redis Enterprise, so Redis Enterprise 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 Redis Enterprise'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 Redis Enterprise where the services that read from it get them at normal query latency.
Rows from Redis Enterprise 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 Redis Enterprise, where whatever reads from that database gets them without querying the warehouse.
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
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 | Redis Enterprise objects | |
|---|---|---|
| Segments Time-ranged build units that partition pre-computed data. | Lists Ordered sequences often used as lightweight queues fed by sync events. | |
| Build Jobs Batch jobs that compute or refresh segments, monitored via the REST API. | Streams Append-only logs with consumer groups, used to fan sync events out to downstream services. | |
| Projects Top-level workspaces that group models, tables, and jobs. | Pub/Sub channels Fire-and-forget messaging used to notify applications when synced keys change. | |
| Models Star-schema definitions over source tables that determine what can be queried. | Search indexes Secondary indexes (RediSearch) that make synced hashes and JSON documents queryable. | |
| Cubes / Indexes Pre-computed aggregate structures that answer queries at low latency. | Keys (Strings) Simple key-value pairs used to cache individual synced records or lookup values. | |
| Source Tables Hive or other upstream tables that builds read from. | Hashes Field-value maps that commonly hold one synced row per hash, keyed by record ID. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Kylin–Redis Enterprise connection.
Changes in Apache Kylin or Redis Enterprise instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Kylin or Redis 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 Redis Enterprise record.
Track your Apache Kylin ⇄ Redis Enterprise sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Kylin and Redis 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 Redis 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 Redis 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 Redis 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.
Apache Kylin: It exposes both ANSI-SQL access over JDBC/ODBC and a REST API used for querying and for managing models, segments, and jobs. Redis Enterprise: Keyspace notifications are delivered over pub/sub with no replay, so reliable change capture usually pairs them with Streams or periodic reconciliation. Stacksync's field mapping accounts for these differences between Apache Kylin and Redis Enterprise without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Apache Kylin and Redis Enterprise records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Apache Kylin and Redis Enterprise connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Kylin–Redis Enterprise integration in-house.
Yes — Stacksync ships production-grade connectors for both Apache Kylin and Redis Enterprise. 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 Redis Enterprise: Keyspace notifications over pub/sub or reads from Redis Streams; no transaction-log CDC surface for data. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 Redis Enterprise.