Real-time sync
Changes in Apache Kylin or Xactly instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Kylin and Xactly 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 Xactly, so Xactly always reflects the current state of Apache Kylin — without exports, scripts, or schedulers.
The CRM feeds the warehouse and the warehouse should feed the CRM: relationship data flows one way, and computed scores, segments, and customer context flow back. Most teams build the first half as a batch pipeline and never quite get to the second.
Stacksync does both with one connection. Quotas / Targets, Payment Summary (Payable), Products & Customers, Orders from Xactly land in Apache Kylin as live tables, updated within seconds, and columns computed in Apache Kylin write back to fields in Xactly. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Lead scores, churn risk, or usage segments computed in Apache Kylin appear as fields in Xactly, where the people working accounts actually see them.
Join Xactly's relationship data with billing, product, and support data in Apache Kylin to build the customer picture the CRM alone cannot hold.
Deduplication and normalization done in Apache Kylin can be written back, so warehouse-side cleanup actually fixes the CRM.
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 | Xactly objects | How this pairing syncs | |
|---|---|---|---|
| Cubes / Indexes Pre-computed aggregate structures that answer queries at low latency. | Payment Summary (Payable) Approved payable amounts per participant per period; read as the output that feeds payroll and accounts payable, so effectively read-only. | Cubes / Indexes is specific to Apache Kylin and Payment Summary (Payable) to Xactly — each maps to any object or custom field on the other side. | |
| Source Tables Hive or other upstream tables that builds read from. | Products & Customers Product and customer/account master used in crediting rules and reporting; loaded and updated from CRM/ERP through Connect (write) and read for lookups, so read and write. | Source Tables is specific to Apache Kylin and Products & Customers to Xactly — each maps to any object or custom field on the other side. | |
| Segments Time-ranged build units that partition pre-computed data. | Orders Sales order and transaction records loaded into Incent as the raw input for crediting and calculation; created and updated through Connect load and ETL steps (write) and read back for reconciliation, so read and write. | Segments is specific to Apache Kylin and Orders to Xactly — 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. | Credits Crediting records that tie an order to a participant and position; system-calculated credits are read, while manual and adjustment credits are loaded through Connect, so read and write. | Build Jobs is specific to Apache Kylin and Credits to Xactly — each maps to any object or custom field on the other side. | |
| Projects Top-level workspaces that group models, tables, and jobs. | Transactions (Commission & Bonus) Calculated commission and bonus line items produced by Incent's calculation engine; read as the output of comp runs for reporting and downstream payout, so effectively read-only results. | Projects is specific to Apache Kylin and Transactions (Commission & Bonus) to Xactly — 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. | Participants (Payees) Sales reps and payees keyed to positions; loaded and updated from HRIS/HCM source data through Connect (write) and read for roster reporting, so read and write. | Models is specific to Apache Kylin and Participants (Payees) to Xactly — 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 Xactly as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Xactly for changes on an incremental schedule, reading only records changed since the previous pass. No CDC log for external tools to consume.
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 Xactly records.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Kylin–Xactly connection.
Changes in Apache Kylin or Xactly instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Kylin or Xactly 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 Xactly record.
Track your Apache Kylin ⇄ Xactly sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Kylin and Xactly.
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 Xactly 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 Xactly 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 Xactly — 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.
Common patterns for Apache Kylin and Xactly: Scores and segments back on the record; A single customer view; Cleanup that sticks. Lead scores, churn risk, or usage segments computed in Apache Kylin appear as fields in Xactly, where the people working accounts actually see them.
Apache Kylin: SQL over JDBC/ODBC plus a REST API for queries and administration. Authentication: Username/password (HTTP basic authentication on the REST API). Xactly: Xactly Connect REST API v2 (JSON), plus ODBC/JDBC drivers over the same ANSI-SQL data model. Incent data is exposed as SQL-queryable objects (for example xactly_order, xactly_credit, xactly_transaction, xactly_payment); data is loaded and extracted through Connect load/query steps and server-side ETL Pipelines. The base host is region/pod-specific (for example https://<pod>.xactlycorp.com). Authentication: OAuth 2.0 via the Xactly Connect API Gateway (bearer tokens issued on behalf of an Xactly Incent user), with HTTP Basic authentication using a dedicated Xactly Connect service-user's credentials also supported for the Connect REST API v2. The connecting user needs Connect/API access plus the relevant object permissions in Incent. Stacksync manages authentication, retries, and rate limits on both sides.
Xactly: Authentication is OAuth 2.0 through the Xactly Connect API Gateway (tokens on behalf of an Incent user) or HTTP Basic with a dedicated Connect service user; the user needs Connect/API and object permissions in Incent. 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. Stacksync's field mapping accounts for these differences between Apache Kylin and Xactly 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 Xactly 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 Xactly connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Kylin–Xactly integration in-house.
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 415 integrations available for Apache Kylin and Xactly.