Real-time
Two-way sync
Changes in Cloudera Data Platform or Kustomer instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ CRM
Cloudera Data Platform to Kustomer integration — real-time, two-way sync
Keep Cloudera Data Platform and Kustomer 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
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Cloudera Data Platform and Kustomer
Sync Kustomer into Cloudera Data Platform continuously and push warehouse results back onto CRM records, one two-way connection instead of two pipelines.
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 (Klasses), Users, Teams, Tags from Kustomer land in Cloudera Data Platform as live tables, updated within seconds, and columns computed in Cloudera Data Platform write back to fields in Kustomer. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Common use cases
- Sync customers bi-directionally with the CRM and ERP so agents see deal, billing, and subscription context on the timeline
- Push order and shipment records from commerce systems into Kustomer custom objects so agents answer order-status questions without switching tools
- Publish CRM or ERP records into CDP so enterprise analytics runs alongside existing data lake workloads.
- Consolidate tables from on-prem and cloud CDP environments into a single cloud warehouse target.
Cleanup that sticks
Deduplication and normalization done in Cloudera Data Platform can be written back, so warehouse-side cleanup actually fixes the CRM.
CRM analytics on live data
Accounts, contacts, and activity from Kustomer are queryable in Cloudera Data Platform moments after they change, so dashboards stop lagging the reality they describe.
Scores and segments back on the record
Lead scores, churn risk, or usage segments computed in Cloudera Data Platform appear as fields in Kustomer, where the people working accounts actually see them.
What you can sync between Cloudera Data Platform and Kustomer
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.
| Cloudera Data Platform objects | Kustomer objects | |
|---|---|---|
| Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. | Teams Team assignments support routing parity and reporting. | |
| Iceberg tables Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads. | Tags Labels on conversations and customers sync for categorization and analytics. | |
| Views SQL views that can present curated, sync-ready projections of raw lake data. | Notes Internal annotations carry context alongside synced conversations. | |
| Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads. | Customers The central record whose timeline aggregates every interaction; external attributes sync onto it. | |
| Object store / HDFS files Underlying Parquet or ORC files on HDFS or cloud storage backing the tables. | Conversations Support threads across channels sync outward for analytics and CRM context. | |
| Databases Logical namespaces in the shared Hive Metastore that group tables for access control and syncs. | Messages Individual messages within conversations support full-thread replication. |
What ships with Cloudera Data Platform ⇄ Kustomer
Connect Cloudera Data Platform and Kustomer for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Cloudera Data Platform–Kustomer connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Cloudera Data Platform or Kustomer 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 Cloudera Data Platform or Kustomer record.
Observability
Monitoring
Track your Cloudera Data Platform ⇄ Kustomer sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Cloudera Data Platform and Kustomer.
How the Cloudera Data Platform and Kustomer connectors work
Cloudera Data Platform
- Integration surface
- JDBC/ODBC over Hive and Impala SQL endpoints, plus REST management APIs
- Authentication
- Kerberos, LDAP, or workload user credentials, often brokered through the Knox gateway
- Change detection
- Polling via SQL on timestamp or partition columns; no consumer-facing change feed
- Capabilities
- read · write
- Rate limits
- Constrained by cluster capacity and admission control rather than API rate limits
Kustomer
- Integration surface
- REST API
- Authentication
- API key used as a bearer token, scoped by role
- Change detection
- Outbound webhooks on record events, plus polling for backfill
- Capabilities
- read · write · webhooks
- Rate limits
- Subject to the platform's API rate limits
How it works
How to connect Cloudera Data Platform to Kustomer — 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 Cloudera Data Platform and Kustomer with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Cloudera Data Platform
connected
Kustomer
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Cloudera Data Platform and Kustomer 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 · Cloudera Data Platform ⇄ KustomerCustomers 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.
Cloudera Data Platform KustomerCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Cloudera Data Platform and Kustomer integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Cloudera Data Platform and Kustomer: authenticate both systems, choose the objects to sync (such as Cloudera Data Platform's Kudu tables and Iceberg tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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Common patterns for Cloudera Data Platform and Kustomer: Cleanup that sticks; CRM analytics on live data; Scores and segments back on the record. Deduplication and normalization done in Cloudera Data Platform can be written back, so warehouse-side cleanup actually fixes the CRM.
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Cloudera Data Platform: JDBC/ODBC over Hive and Impala SQL endpoints, plus REST management APIs. Authentication: Kerberos, LDAP, or workload user credentials, often brokered through the Knox gateway. Kustomer: REST API. Authentication: API key used as a bearer token, scoped by role. Stacksync manages authentication, retries, and rate limits on both sides.
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Kustomer: Custom object types are called Klasses, and they are the standard mechanism for landing external data like orders and subscriptions where agents work. Cloudera Data Platform: Tables can live in multiple storage engines with different update semantics: Kudu and Iceberg tables support row-level updates, while classic Hive tables are append-oriented. Stacksync's field mapping accounts for these differences between Cloudera Data Platform and Kustomer without custom code.
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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 Cloudera Data Platform and Kustomer records are not retained after a sync operation.
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.
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 386 integrations available for Cloudera Data Platform and Kustomer.
Popular · 8 of 386
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Cloudera Data Platform ⇄ Drift -
Cloudera Data Platform ⇄ Folk CRM -
Cloudera Data Platform ⇄ Freshsales -
Cloudera Data Platform ⇄ Freshworks CRM -
Kustomer ⇄ Vertica -
Kustomer ⇄ Yellowbrick -
Kustomer ⇄ Snowflake -
Kustomer ⇄ BigQuery
No integrations match .
