Real-time sync
Changes in Apache Kylin or Bigcommerce instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Kylin and Bigcommerce 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 Bigcommerce, so Bigcommerce always reflects the current state of Apache Kylin — without exports, scripts, or schedulers.
Apache Kylin is the analytical store where the business joins, models, and reports on its data; Bigcommerce runs the storefront, catalog, and transactions that generate most of it. The overlap is every record that has to be counted and enriched on one side and acted on the other — and when the bridge is a nightly export, the warehouse reports on yesterday while the store operates without the segments and metrics the warehouse just computed.
Orders, products, and customer records from Bigcommerce land in Apache Kylin as they change, so dashboards and models read current data instead of last night's export.
Segments, lifetime value, and scores built in Apache Kylin write onto the matching records in Bigcommerce, so merchandising and messaging act on warehouse logic.
Where both systems hold product or catalog data, cleaned and enriched attributes stay aligned so the store and the warehouse describe the same items.
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 | Bigcommerce objects | How this pairing syncs | |
|---|---|---|---|
| Cubes / Indexes Pre-computed aggregate structures that answer queries at low latency. | Categories Catalog V3 category tree; mapped for merchandising and kept aligned with a product master or PIM. | Cubes / Indexes is specific to Apache Kylin and Categories to Bigcommerce — each maps to any object or custom field on the other side. | |
| Source Tables Hive or other upstream tables that builds read from. | Brands Catalog V3 brand records linked to products; kept aligned with a product master or PIM so brand names and pages stay consistent. | Source Tables is specific to Apache Kylin and Brands to Bigcommerce — each maps to any object or custom field on the other side. | |
| Segments Time-ranged build units that partition pre-computed data. | Inventory Product- or variant-level stock, plus multi-location counts via the V3 Inventory API; written from a WMS to reflect on-hand quantities. | Segments is specific to Apache Kylin and Inventory to Bigcommerce — 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. | Price Lists V3 price lists and records driving customer-group and B2B pricing; pushed from an ERP so tiered prices stay current. | Build Jobs is specific to Apache Kylin and Price Lists to Bigcommerce — each maps to any object or custom field on the other side. | |
| Projects Top-level workspaces that group models, tables, and jobs. | Shipments Order shipments with tracking numbers; created in BigCommerce from a 3PL or fulfillment system as packages ship. | Projects is specific to Apache Kylin and Shipments to Bigcommerce — 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. | Products Catalog V3 records with custom fields and images; mastered in a PIM or ERP and written to BigCommerce, or read out to a warehouse. | Models is specific to Apache Kylin and Products to Bigcommerce — 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 Bigcommerce through its API, with automatic retries and rate-limit backoff.
DetectionBigcommerce notifies Stacksync of record changes through webhook events. Webhooks push near-real-time events (store/order/*, store/product/*, store/customer/* and more).
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 Bigcommerce records.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Kylin–Bigcommerce connection.
Changes in Apache Kylin or Bigcommerce instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Kylin or Bigcommerce 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 Bigcommerce record.
Track your Apache Kylin ⇄ Bigcommerce sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Kylin and Bigcommerce.
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 Bigcommerce 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 Bigcommerce 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 Bigcommerce — 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). Bigcommerce: REST Management API (V2 and V3), plus GraphQL Storefront and Admin APIs. Authentication: OAuth API account credentials — a store-generated client ID and permanent access token sent in the X-Auth-Token header, limited to the OAuth scopes granted when the account is created (e.g. store_v2_orders, store_v2_products). Stacksync manages authentication, retries, and rate limits on both sides.
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. Bigcommerce: OAuth API tokens are permanent and store-scoped; each is limited to the scopes granted at creation, so a missing scope returns a 403 response. Stacksync's field mapping accounts for these differences between Apache Kylin and Bigcommerce 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 Bigcommerce 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 Bigcommerce connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Kylin–Bigcommerce integration in-house.
Yes — Stacksync ships production-grade connectors for both Apache Kylin and Bigcommerce. 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 350 integrations available for Apache Kylin and Bigcommerce.