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Data warehouse

Connect Cloudera Data Platform to any app with two-way sync.

Two-way sync Cloudera Data Platform across all your CRMs, databases, data warehouses, EDI systems, and AI tools, with custom workflows tailored to your data.

  • 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 Heroku Connect
Migrated from Matillion
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Migrated from Fivetran
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Migrated from Celigo
Object catalog

What Stacksync syncs in Cloudera Data Platform.

These objects sync between Cloudera Data Platform and any connected system, with field-level mapping and conflict resolution. Custom fields are picked up from the live schema where Cloudera Data Platform exposes them.

Databases
Logical namespaces in the shared Hive Metastore that group tables for access control and syncs.
Hive tables
Warehouse tables queried over JDBC/ODBC; classic managed tables are append-oriented.
Impala tables
The same metastore tables served through Impala for lower-latency SQL reads.
Kudu tables
Storage engine tables that support row-level inserts, updates, and deletes.
Iceberg tables
Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads.
Views
SQL views that can present curated, sync-ready projections of raw lake data.
Partitions
Table partitions (often by date) that incremental extraction jobs use to scope reads.
Object store / HDFS files
Underlying Parquet or ORC files on HDFS or cloud storage backing the tables.
API surface

How Stacksync connects to Cloudera Data Platform.

The connector runs on Cloudera Data Platform's native API. Stacksync manages authentication, rate limits, retries, and schema changes so your team does not maintain integration code.

Connection
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
Rate limits
Constrained by cluster capacity and admission control rather than API rate limits

Sync directions

  • Read Supported
  • Write Supported
  • Change data capture Not available
  • Webhooks Not available
What ships with Cloudera Data Platform

Connect Cloudera Data Platform for flexible, real-time data sync.

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

Real-time

Two-way sync

Changes in Cloudera Data Platform instantly reflect across connected systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Cloudera Data Platform 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 record.

Observability

Monitoring

Track your Cloudera Data Platform sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions.

Use cases

What teams run on the Cloudera Data Platform connector.

Cloudera Data Platform is bought by enterprise IT, data engineering, and platform teams in regulated industries such as financial services, healthcare, telecom, and manufacturing that run hybrid and multi-cloud estates. Cloudera positions it as a hybrid data and AI platform with an open lakehouse built on Apache Iceberg, so it typically holds an organization's largest analytical datasets across Hive, Impala, Kudu, and Iceberg tables. Data gravity is high: CDP is the analytics backbone, not a satellite system.

  • Data engineering
  • Platform engineering
  • Analytics engineering
  • Enterprise IT

  1. Sync curated CDP tables into an operational Postgres so applications query a low-latency copy instead of hitting the cluster.

  2. Publish CRM or ERP records into CDP so enterprise analytics runs alongside existing data lake workloads.

  3. Reverse-ETL aggregates computed in Hive or Impala out to SaaS tools like Salesforce or HubSpot.

  4. Consolidate tables from on-prem and cloud CDP environments into a single cloud warehouse target.

  5. Land operational records from CRMs or databases into Hive or Iceberg tables so analysts query current business data through Impala without building custom Spark or NiFi ingestion jobs.

  6. Publish curated results from Impala or Hive Views back to operational systems, moving warehouse-computed attributes into the tools where business teams work.

All Cloudera Data Platform integrations

Pick the system you need to keep in sync with Cloudera Data Platform. Each page covers the sync setup, field mapping, and common workflows for that pair.

CRM · 31

ERP · 24

Database · 14

Data warehouse · 9

Business productivity · 31

Accounting and finance · 14

How it works

Set up Cloudera Data Platform in minutes, without APIs.

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 Cloudera Data Platform with its 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
    Cloudera Data Platform connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Cloudera Data Platform objects to sync — Stacksync auto-detects the schema, 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 · Cloudera Data Platform
    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
    Cloudera Data Platform database
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Cloudera Data Platform connector FAQ

What can I sync with the Cloudera Data Platform connector?

Cloudera Data Platform's core objects — Databases, Hive tables, Impala tables, Kudu tables and custom fields — can sync with any of 302 other systems. Every integration is real-time and bidirectional, with field-level mapping and conflict resolution.

How does Stacksync connect to Cloudera Data Platform?

Via JDBC/ODBC over Hive and Impala SQL endpoints, plus REST management APIs, authenticated with Kerberos, LDAP, or workload user credentials, often brokered through the Knox gateway. Changes are detected as follows — polling via SQL on timestamp or partition columns; no consumer-facing change feed. Stacksync manages rate limits, retries, and schema changes automatically.

Is the Cloudera Data Platform connector two-way?

Yes. Changes made in Cloudera Data Platform propagate to the connected system and vice versa, in milliseconds. One-way flows are also supported when a direction should stay read-only.

How long does a Cloudera Data Platform integration take to set up?

Most Cloudera Data Platform integrations go live in minutes: authenticate Cloudera Data Platform and the other system, pick objects and fields, and enable the sync. No code and no infrastructure to manage.

Is Cloudera Data Platform data secure in transit?

Stacksync is SOC 2 Type II, ISO 27001, GDPR and HIPAA compliant. Cloudera Data Platform data is encrypted in transit, and a zero-persistent-storage architecture means records are not retained after a sync operation.

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.

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
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