Real-time sync
Changes in Apache Kylin or Pendo instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Kylin and Pendo 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 Pendo, so Pendo always reflects the current state of Apache Kylin — without exports, scripts, or schedulers.
Pendo is where teams explore, visualize, and report; Apache Kylin is the store of record that holds the raw tables and full history behind those views. The two overlap wherever the same events, users, and metrics matter to both, and when the bridge between them is a nightly export or a hand-built extract, dashboards lag the warehouse and analysts spend the morning arguing over whose number is right.
When a record is fixed or backfilled on one side, the change reaches the other without a full reload, keeping history consistent across both.
Metrics and aggregates stay aligned between the two systems, so a figure shown in Pendo matches the Apache Kylin table it was built from instead of drifting between refreshes.
Records maintained in Apache Kylin flow into Pendo as they change, so dashboards and reports read current rows rather than an overnight extract.
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 | Pendo objects | How this pairing syncs | |
|---|---|---|---|
| Projects Top-level workspaces that group models, tables, and jobs. | Visitors End-user records with agent-collected and custom fields; queried through the Aggregation API and enriched with custom fields written back via the Metadata API. | Projects is specific to Apache Kylin and Visitors to Pendo — 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. | Accounts Company/workspace records that roll visitors up to an account dimension; readable via Aggregation and a write target for custom fields (plan, ARR, health) via the Metadata API. | Models is specific to Apache Kylin and Accounts to Pendo — each maps to any object or custom field on the other side. | |
| Cubes / Indexes Pre-computed aggregate structures that answer queries at low latency. | Feature Events Click/interaction events on tagged features, read-only through the Aggregation API over an event-time window and joined to the Feature definitions. | Cubes / Indexes is specific to Apache Kylin and Feature Events to Pendo — each maps to any object or custom field on the other side. | |
| Source Tables Hive or other upstream tables that builds read from. | Page Events Page-view events for tagged pages; read-only via the Aggregation API, used for adoption and path analysis in a warehouse. | Source Tables is specific to Apache Kylin and Page Events to Pendo — each maps to any object or custom field on the other side. | |
| Segments Time-ranged build units that partition pre-computed data. | Guide Events Guide seen/advanced/dismissed and step events for in-app walkthroughs; read-only through the Aggregation API to measure onboarding flow adoption. | Segments is specific to Apache Kylin and Guide Events to Pendo — 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. | Poll / NPS Responses Survey answers and NPS scores captured in-app (pollEvents / npsEvents); read-only via the Aggregation API as voice-of-customer data. | Build Jobs is specific to Apache Kylin and Poll / NPS Responses to Pendo — 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 written to Pendo through its API, with automatic retries and rate-limit backoff.
DetectionStacksync polls Pendo for changes on an incremental schedule, reading only records changed since the previous pass. Polling - reads query the Aggregation API over event-time windows.
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 Pendo records.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Kylin–Pendo connection.
Changes in Apache Kylin or Pendo instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Kylin or Pendo 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 Pendo record.
Track your Apache Kylin ⇄ Pendo sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Kylin and Pendo.
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 Pendo 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 Pendo 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 Pendo — 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: SQL over JDBC/ODBC plus a REST API for queries and administration. Authentication: Username/password (HTTP basic authentication on the REST API). Pendo: Pendo Engage API (REST) on app.pendo.io (US) / app.eu.pendo.io (EU), base path /api/v1/ - Aggregation API for reads and the Metadata API for writes. Authentication: Integration key sent in the x-pendo-integration-key header, generated in Subscription Settings; keys are scoped read-only or read/write, so writes require a read/write key. Stacksync manages authentication, retries, and rate limits on both sides.
Pendo: Pendo has no data-change webhooks; syncs poll the Aggregation API over event-time windows, and heavy queries can return 429, so wide backfills are paced and time-windowed. Apache Kylin: Kylin answers queries from pre-computed aggregate indexes (cubes) built over star-schema models, so query-time data reflects the last completed build rather than live source rows. Stacksync's field mapping accounts for these differences between Apache Kylin and Pendo 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 Pendo 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 Pendo connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Kylin–Pendo integration in-house.
Yes — Stacksync ships production-grade connectors for both Apache Kylin and Pendo. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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.
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Every pair below is a real-time, two-way sync. Search all 364 integrations available for Apache Kylin and Pendo.