Real-time sync
Changes in Apache Kylin or Salesforce instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Kylin and Salesforce 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 Salesforce, so Salesforce 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. Custom Objects, Accounts, Contacts, Leads from Salesforce land in Apache Kylin as live tables, updated within seconds, and columns computed in Apache Kylin write back to fields in Salesforce. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Accounts, contacts, and activity from Salesforce are queryable in Apache Kylin moments after they change, so dashboards stop lagging the reality they describe.
Lead scores, churn risk, or usage segments computed in Apache Kylin appear as fields in Salesforce, where the people working accounts actually see them.
Join Salesforce's relationship data with billing, product, and support data in Apache Kylin to build the customer picture the CRM alone cannot hold.
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 | Salesforce objects | How this pairing syncs | |
|---|---|---|---|
| Segments Time-ranged build units that partition pre-computed data. | Leads Unqualified prospects; often written into Salesforce from enrichment or product-signup pipelines. | Segments is specific to Apache Kylin and Leads to Salesforce — 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. | Opportunities Deal records with stage and amount; synced to databases for pipeline reporting and to ERPs at close. | Build Jobs is specific to Apache Kylin and Opportunities to Salesforce — each maps to any object or custom field on the other side. | |
| Projects Top-level workspaces that group models, tables, and jobs. | Cases Support records; synced with help desk tools or internal databases for escalation workflows. | Projects is specific to Apache Kylin and Cases to Salesforce — 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. | Campaigns Marketing membership data; read out for attribution analysis in the warehouse. | Models is specific to Apache Kylin and Campaigns to Salesforce — each maps to any object or custom field on the other side. | |
| Cubes / Indexes Pre-computed aggregate structures that answer queries at low latency. | Tasks and Events Activity records; usually read-only in syncs to feed activity reporting. | Cubes / Indexes is specific to Apache Kylin and Tasks and Events to Salesforce — each maps to any object or custom field on the other side. | |
| Source Tables Hive or other upstream tables that builds read from. | Products and Price Books Catalog and pricing data; commonly mastered in an ERP and written into Salesforce. | Source Tables is specific to Apache Kylin and Products and Price Books to Salesforce — 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 Salesforce through its API, with automatic retries and rate-limit backoff.
DetectionChanges in Salesforce are captured at the source via change data capture — no polling loop against its API. Apex triggers are used whenever possible (Salesforce actively notifies Stacksync via an Apex trigger + callout class + remote site setting).
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 Salesforce records.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Kylin–Salesforce connection.
Changes in Apache Kylin or Salesforce instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Kylin or Salesforce 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 Salesforce record.
Track your Apache Kylin ⇄ Salesforce sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Kylin and Salesforce.
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 Salesforce 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 Salesforce 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 Salesforce — 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.
Salesforce: Non-writable objects, non-triggerable objects (trigger mode), and tables without a last_modified_data column (polling mode) cannot be synced yet. 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 Salesforce 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 Salesforce 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 Salesforce connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Kylin–Salesforce integration in-house.
Yes — Stacksync ships production-grade connectors for both Apache Kylin and Salesforce. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 Salesforce: Apex triggers are used whenever possible (Salesforce actively notifies Stacksync via an Apex trigger + callout class + remote site setting). Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 423 integrations available for Apache Kylin and Salesforce.