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Data warehouse ⇄ CRM

Apache Kylin to Close integration — real-time data sync

Keep Apache Kylin and Close in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Migrated from Mulesoft
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Migrated from Fivetran
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Why teams connect Apache Kylin and Close

Flow Apache Kylin data into Close in real time — no exports, no schedulers, no custom scripts.

Apache Kylin is a read-only source: Stacksync reads its data in real time and delivers it into Close, so Close 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. Smart Views, Leads, Contacts, Opportunities from Close land in Apache Kylin as live tables, updated within seconds, and columns computed in Apache Kylin write back to fields in Close. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.

Common use cases

  • Write product usage or firmographic data from an internal database onto Close lead custom fields to prioritize follow-up.
  • Sync Close leads and opportunities into Postgres or a warehouse for pipeline reporting outside Close's built-in reports.
  • Trigger downstream syncs after segment build jobs complete so consumers only read refreshed data.
  • Read pre-aggregated metrics from Kylin and sync them into CRM fields or planning spreadsheets on a schedule.

Scores and segments back on the record

Lead scores, churn risk, or usage segments computed in Apache Kylin appear as fields in Close, where the people working accounts actually see them.

A single customer view

Join Close's relationship data with billing, product, and support data in Apache Kylin to build the customer picture the CRM alone cannot hold.

Cleanup that sticks

Deduplication and normalization done in Apache Kylin can be written back, so warehouse-side cleanup actually fixes the CRM.

What you can sync between Apache Kylin and Close

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 Close objects
Segments Time-ranged build units that partition pre-computed data. Custom Activities User-defined activity types with their own custom fields, mapped like standard activities.
Build Jobs Batch jobs that compute or refresh segments, monitored via the REST API. Custom Fields Org-specific fields on leads, contacts, and opportunities; addressed by stable field ids in syncs.
Projects Top-level workspaces that group models, tables, and jobs. Users Sales reps referenced as owners on leads, opportunities, and activities.
Models Star-schema definitions over source tables that determine what can be queried. Smart Views Saved lead searches that can scope which records a segment-based sync pulls.
Cubes / Indexes Pre-computed aggregate structures that answer queries at low latency. Leads The top-level record in Close; represents a company and holds its contacts, opportunities, and activity history.
Source Tables Hive or other upstream tables that builds read from. Contacts People nested under a lead, with emails and phone numbers used for outreach syncs.
What ships with Apache Kylin ⇄ Close

Connect Apache Kylin and Close for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Kylin–Close connection.

Real-time

Real-time sync

Changes in Apache Kylin or Close instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Kylin or Close data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Apache Kylin or Close record.

Observability

Monitoring

Track your Apache Kylin ⇄ Close sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Apache Kylin and Close.

How the Apache Kylin and Close connectors work

Apache Kylin

Integration surface
SQL over JDBC/ODBC plus a REST API for queries and administration
Authentication
Username/password (HTTP basic authentication on the REST API)
Change detection
Not applicable for row-level capture; data freshness follows segment build and refresh jobs, so integrations poll query results
Capabilities
read
Rate limits
No fixed API quotas; query capacity depends on the deployment and pre-computed index coverage

Close

Integration surface
REST API
Authentication
API key (sent via HTTP Basic auth)
Change detection
Webhook subscriptions for record events, with polling on date_updated fields for backfills
Capabilities
read · write · webhooks
Rate limits
Subject to per-endpoint rate limits communicated in response headers
How it works

How to connect Apache Kylin to Close — three steps, no code

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.

  1. 01

    Connect your apps

    Authenticate Apache Kylin and Close with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Apache Kylin connected
    Close connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apache Kylin and Close 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Apache Kylin ⇄ Close
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Apache Kylin Close
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Apache Kylin and Close integration FAQ

SECURITY

Security teams love Stacksync

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.

Learn more about security
SOC 2 type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for Apache Kylin and Close.

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