Real-time
Real-time sync
Changes in Apache Kylin or Tinybird instantly reflect in both systems. No stale data, no manual imports.
Data warehouse
Apache Kylin to Tinybird integration — real-time data sync
Keep Apache Kylin and Tinybird in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Apache Kylin and Tinybird
Keep tables consistent across Apache Kylin and Tinybird, for a migration, a multi-warehouse stack, or a dataset two platforms both need.
Apache Kylin is a read-only source: Stacksync reads its data in real time and delivers it into Tinybird, so Tinybird 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.
Common use cases
- 01 Sync Kylin aggregates into a cloud warehouse to combine them with data Kylin does not cover.
- 02 Trigger downstream syncs after segment build jobs complete so consumers only read refreshed data.
- 03 Stream CRM activity such as deals and tickets into Tinybird Data Sources to power customer-facing dashboards.
- 04 Sync order events from an ERP into Tinybird to serve low-latency operational analytics endpoints.
Common sync patterns
Migration without a big bang
When one platform is replacing the other, keep tables mirrored while workloads move over gradually, and cut over with nothing to backfill.
Serve tools that only connect to one platform
Mirror the datasets a BI tool, notebook, or application needs onto the platform it can actually reach.
Shared datasets across teams
Where different teams run different warehouses, sync the curated tables both rely on so their metrics agree by construction.
What you can sync between Apache Kylin and Tinybird
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 | Tinybird objects | How this pairing syncs | |
|---|---|---|---|
| Projects Top-level workspaces that group models, tables, and jobs. | Data Sources ClickHouse-backed tables that receive ingested rows; the write target for syncs into Tinybird. | Projects is specific to Apache Kylin and Data Sources to Tinybird — 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. | Pipes Chained SQL nodes that transform Data Sources into query-ready results. | Models is specific to Apache Kylin and Pipes to Tinybird — each maps to any object or custom field on the other side. | |
| Cubes / Indexes Pre-computed aggregate structures that answer queries at low latency. | API Endpoints Published Pipe outputs exposed as parameterized HTTP queries; the main read surface. | Cubes / Indexes is specific to Apache Kylin and API Endpoints to Tinybird — each maps to any object or custom field on the other side. | |
| Source Tables Hive or other upstream tables that builds read from. | Materialized Views Pipes materialized into new Data Sources for pre-aggregation at ingest time. | Source Tables is specific to Apache Kylin and Materialized Views to Tinybird — each maps to any object or custom field on the other side. | |
| Segments Time-ranged build units that partition pre-computed data. | Workspaces Project boundary that scopes Data Sources, Pipes, and tokens for a sync. | Segments is specific to Apache Kylin and Workspaces to Tinybird — 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. | Tokens Scoped credentials that control read and append rights per resource. | Build Jobs is specific to Apache Kylin and Tokens to Tinybird — each maps to any object or custom field on the other side. |
How changes propagate between Apache Kylin and Tinybird
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 Tinybird 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 applied to Tinybird as a row-level write, with types converted between the two schemas.
Tinybird Apache Kylin Interval-based propagation
DetectionStacksync polls Tinybird for changes on an incremental schedule, reading only records changed since the previous pass. Append-oriented ingestion.
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 Tinybird records.
Rate-limit considerations
- Apache Kylin: No fixed API quotas; query capacity depends on the deployment and pre-computed index coverage.
- Tinybird: Subject to the platform's ingestion and query rate limits; batch appends where possible.
What ships with Apache Kylin ⇄ Tinybird
Connect Apache Kylin and Tinybird for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Kylin–Tinybird connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Apache Kylin or Tinybird 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 Tinybird record.
Observability
Monitoring
Track your Apache Kylin ⇄ Tinybird 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 Tinybird.
How the Apache Kylin and Tinybird 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
Tinybird
- Integration surface
- REST API (Events API for ingestion, published query endpoints) with a ClickHouse SQL dialect
- Authentication
- Scoped auth tokens
- Change detection
- Append-oriented ingestion; reads are pulled by querying published endpoints, no outbound CDC
- Capabilities
- read · write
- Rate limits
- Subject to the platform's ingestion and query rate limits; batch appends where possible.
How it works
How to connect Apache Kylin to Tinybird — 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.
- 01
Connect your apps
Authenticate Apache Kylin and Tinybird with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Apache Kylin
connected
Tinybird
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Apache Kylin and Tinybird 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.
objects · Apache Kylin ⇄ TinybirdCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Apache Kylin TinybirdCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Apache Kylin and Tinybird integration FAQ
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Yes. Stacksync provides a managed, real-time integration between Apache Kylin and Tinybird — 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.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Apache Kylin and Tinybird connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Kylin–Tinybird integration in-house.
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Yes — Stacksync ships production-grade connectors for both Apache Kylin and Tinybird. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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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 Tinybird: Append-oriented ingestion; reads are pulled by querying published endpoints, no outbound CDC. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Apache Kylin side: Models, Cubes / Indexes, Source Tables, Segments, plus custom fields where Apache Kylin exposes them. On the Tinybird side: Pipes, API Endpoints, Materialized Views, Workspaces. Stacksync auto-detects both schemas and converts types between the two systems.
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Apache Kylin is a read-only source, so this integration runs one-way: Stacksync reads from Apache Kylin in real time and delivers into Tinybird. Field mapping and monitoring work the same as for two-way pairs.
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.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
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:
Related integrations
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