Real-time
Real-time sync
Changes in Apache Kylin or DealCloud instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ CRM
Apache Kylin to DealCloud integration — real-time data sync
Keep Apache Kylin and DealCloud 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
Case study
Migrated from MuleSoft
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Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
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Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Apache Kylin and DealCloud
Flow Apache Kylin data into DealCloud 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 DealCloud, so DealCloud 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. Company, Contact, Fund, Investment from DealCloud land in Apache Kylin as live tables, updated within seconds, and columns computed in Apache Kylin write back to fields in DealCloud. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Common use cases
- 01 Push portfolio and fund performance data from a warehouse into DealCloud so dealmakers see up-to-date metrics on each investment.
- 02 Keep DealCloud contacts and relationships in sync with an enrichment or email platform to maintain accurate firm-wide relationship intelligence.
- 03 Expose Kylin query results to operational dashboards without granting access to the underlying Hadoop data.
- 04 Sync Kylin aggregates into a cloud warehouse to combine them with data Kylin does not cover.
Common sync patterns
Scores and segments back on the record
Lead scores, churn risk, or usage segments computed in Apache Kylin appear as fields in DealCloud, where the people working accounts actually see them.
A single customer view
Join DealCloud'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 DealCloud
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 | DealCloud objects | How this pairing syncs | |
|---|---|---|---|
| Cubes / Indexes Pre-computed aggregate structures that answer queries at low latency. | Task Synced with incremental and full sync. | Cubes / Indexes is specific to Apache Kylin and Task to DealCloud — each maps to any object or custom field on the other side. | |
| Source Tables Hive or other upstream tables that builds read from. | User Synced with incremental and full sync. | Source Tables is specific to Apache Kylin and User to DealCloud — each maps to any object or custom field on the other side. | |
| Segments Time-ranged build units that partition pre-computed data. | Deal Synced with incremental and full sync. | Segments is specific to Apache Kylin and Deal to DealCloud — 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. | Company Synced with incremental and full sync. | Build Jobs is specific to Apache Kylin and Company to DealCloud — each maps to any object or custom field on the other side. | |
| Projects Top-level workspaces that group models, tables, and jobs. | Contact Synced with incremental and full sync. | Projects is specific to Apache Kylin and Contact to DealCloud — 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. | Fund Synced with incremental and full sync. | Models is specific to Apache Kylin and Fund to DealCloud — each maps to any object or custom field on the other side. |
How changes propagate between Apache Kylin and DealCloud
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.
Apache Kylin DealCloud Interval-based propagation
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 DealCloud through its API, with automatic retries and rate-limit backoff.
DealCloud Apache Kylin Interval-based propagation
DetectionStacksync polls DealCloud for changes on an incremental schedule, reading only records changed since the previous pass. Incremental via each entry's last-modified timestamp.
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 DealCloud records.
Rate-limit considerations
- Apache Kylin: No fixed API quotas; query capacity depends on the deployment and pre-computed index coverage.
- DealCloud: API request limits apply per firm tenant; Stacksync manages throttling and retries automatically.
What ships with Apache Kylin ⇄ DealCloud
Connect Apache Kylin and DealCloud for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Kylin–DealCloud connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Apache Kylin or DealCloud 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 DealCloud record.
Observability
Monitoring
Track your Apache Kylin ⇄ DealCloud 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 DealCloud.
How the Apache Kylin and DealCloud 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
DealCloud
- Integration surface
- REST API (DealCloud Data API v2)
- Authentication
- OAuth 2.0 client-credentials; a DealCloud administrator generates a client ID and secret in the DealCloud admin API settings and grants Stacksync the required scopes
- Change detection
- Incremental via each entry's last-modified timestamp; DealCloud has no universal native change-data-capture, so Stacksync polls modified rows on an interval
- Capabilities
- read · write
- Rate limits
- API request limits apply per firm tenant; Stacksync manages throttling and retries automatically.
How it works
How to connect Apache Kylin to DealCloud — 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.
- 01
Connect your apps
Authenticate Apache Kylin and DealCloud with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Apache Kylin
connected
DealCloud
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Apache Kylin and DealCloud 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.
objects · Apache Kylin ⇄ DealCloudCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Apache Kylin DealCloudCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Apache Kylin and DealCloud integration FAQ
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Yes. Stacksync provides a managed, real-time integration between Apache Kylin and DealCloud — 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.
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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 DealCloud records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Apache Kylin and DealCloud connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Kylin–DealCloud integration in-house.
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Yes — Stacksync ships production-grade connectors for both Apache Kylin and DealCloud. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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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 DealCloud: Incremental via each entry's last-modified timestamp; DealCloud has no universal native change-data-capture, so Stacksync polls modified rows on an interval. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the DealCloud side: Company, Contact, Fund, Investment, plus custom fields where DealCloud exposes them. On the Apache Kylin side: Segments, Build Jobs, Projects, Models. Stacksync auto-detects both schemas and converts types between the two systems.
SECURITY
Security teams trust 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.
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 392 integrations available for Apache Kylin and DealCloud.
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DealCloud ⇄ Greenplum -
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DealCloud ⇄ Rockset
No integrations match .
