Real-time sync
Changes in Apache Kylin or Sage 100 instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Kylin and Sage 100 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 Sage 100, so Sage 100 always reflects the current state of Apache Kylin — without exports, scripts, or schedulers.
ERP data is some of the most asked-for data in the warehouse and some of the hardest to get: the record types are many, the APIs are strict, and extract jobs are brittle. Whether Sage 100 carries financials, operations, workforce data, or all three, the analysis belongs in Apache Kylin next to everything else the company measures.
Financial records land in Apache Kylin as they change, so period-end reporting queries current numbers rather than last night's extract.
Worker and organization data syncs into Apache Kylin for headcount, cost, and planning analysis alongside other company data.
Operational records become queryable tables in Apache Kylin, joinable with sales and finance data.
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 | Sage 100 objects | How this pairing syncs | |
|---|---|---|---|
| Build Jobs Batch jobs that compute or refresh segments, monitored via the REST API. | GL Accounts Chart of accounts read for mapping transactions in finance integrations. | Build Jobs is specific to Apache Kylin and GL Accounts to Sage 100 — each maps to any object or custom field on the other side. | |
| Projects Top-level workspaces that group models, tables, and jobs. | Journal Entries Posted GL activity replicated to warehouses for FP&A. | Projects is specific to Apache Kylin and Journal Entries to Sage 100 — 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. | Customers AR customer master records synced to CRMs for account and credit visibility. | Models is specific to Apache Kylin and Customers to Sage 100 — each maps to any object or custom field on the other side. | |
| Cubes / Indexes Pre-computed aggregate structures that answer queries at low latency. | Vendors AP vendor master records synced with procurement and payment tools. | Cubes / Indexes is specific to Apache Kylin and Vendors to Sage 100 — each maps to any object or custom field on the other side. | |
| Source Tables Hive or other upstream tables that builds read from. | Inventory Items Item master with pricing and quantities, synced to e-commerce catalogs. | Source Tables is specific to Apache Kylin and Inventory Items to Sage 100 — each maps to any object or custom field on the other side. | |
| Segments Time-ranged build units that partition pre-computed data. | Sales Orders Order headers and lines, the usual write target for web and EDI orders. | Segments is specific to Apache Kylin and Sales Orders to Sage 100 — 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 applied to Sage 100 as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Sage 100 for changes on an incremental schedule, reading only records changed since the previous pass. Scheduled polling.
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 Sage 100 records.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Kylin–Sage 100 connection.
Changes in Apache Kylin or Sage 100 instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Kylin or Sage 100 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 Sage 100 record.
Track your Apache Kylin ⇄ Sage 100 sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Kylin and Sage 100.
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 Sage 100 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 Sage 100 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 Sage 100 — 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 is a read-only source, so this integration runs one-way: Stacksync reads from Apache Kylin in real time and delivers into Sage 100. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for Apache Kylin and Sage 100: Where Sage 100 holds the books: finance reporting from live data; Where Sage 100 is the HR system of record: workforce analytics; Where Sage 100 runs operations: order and supply analysis. Financial records land in Apache Kylin as they change, so period-end reporting queries current numbers rather than last night's extract.
Apache Kylin: SQL over JDBC/ODBC plus a REST API for queries and administration. Authentication: Username/password (HTTP basic authentication on the REST API). Sage 100: ODBC (ProvideX driver) for reads; Business Object Interface (BOI) or Sage-provided web services for writes. Authentication: Sage 100 company and user credentials; ODBC DSN credentials for direct reads. 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. Sage 100: Sage 100 (formerly MAS 90/200) is an on-premise ERP; its data files are exposed for reads through a ProvideX ODBC driver with module-prefixed tables such as AR_Customer and SO_SalesOrderHeader. Stacksync's field mapping accounts for these differences between Apache Kylin and Sage 100 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 Sage 100 records are not retained after a sync operation.
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 393 integrations available for Apache Kylin and Sage 100.