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Data warehouse ⇄ Database

Cloudera Data Platform to DuckDB integration — real-time, two-way sync

Keep Cloudera Data Platform and DuckDB in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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

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Why teams connect Cloudera Data Platform and DuckDB

Connect DuckDB and Cloudera Data Platform with one live, two-way sync: operational rows flow into the warehouse, and computed results flow back where systems can read them fast.

Operational databases and analytical warehouses want the same data at different moments. Analysts want DuckDB's rows in Cloudera Data Platform, current and joinable, without a change-data-capture pipeline to maintain. Engineers want the outputs of warehouse work, such as aggregates, features, and segments, available in DuckDB where the services that read from it get them at normal query latency.

Stacksync covers both directions with one connection. Tables or collections in DuckDB sync into Cloudera Data Platform in real time, and result tables in Cloudera Data Platform sync back into DuckDB, with schema and type mapping between the two systems handled for you.

Common use cases

  • 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.
  • Use DuckDB as a transform step: read synced Parquet exports, aggregate with SQL, and write results back to an operational database.
  • Sync SaaS data to Parquet on object storage and query it with DuckDB without standing up a warehouse.

Operational data in the warehouse, minus the pipeline

Rows from DuckDB land in Cloudera Data Platform as they change, replacing hand-built CDC and batch extract jobs.

Serve warehouse results at database speed

Aggregates or model outputs computed in Cloudera Data Platform sync into DuckDB, where whatever reads from that database gets them without querying the warehouse.

Fresh analytics without loading windows

Because changes stream continuously, analysts query current data instead of waiting for last night's load.

What you can sync between Cloudera Data Platform and DuckDB

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 DuckDB objects
Iceberg tables Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads. Tables Columnar tables created via SQL; the destination for materialized sync data.
Views SQL views that can present curated, sync-ready projections of raw lake data. Views SQL views used to shape or filter data for downstream consumers.
Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads. External files (Parquet/CSV/JSON) Files DuckDB queries in place without loading, common as a sync interchange format.
Object store / HDFS files Underlying Parquet or ORC files on HDFS or cloud storage backing the tables. Attached databases Additional database files or external systems attached into one session for cross-source queries.
Databases Logical namespaces in the shared Hive Metastore that group tables for access control and syncs. Database files Single-file .duckdb databases that jobs read and write directly on disk or object storage.
Hive tables Warehouse tables queried over JDBC/ODBC; classic managed tables are append-oriented. Schemas Namespaces within a database used to organize tables in sync outputs.
What ships with Cloudera Data Platform ⇄ DuckDB

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

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Cloudera Data Platform–DuckDB connection.

Real-time

Two-way sync

Changes in Cloudera Data Platform or DuckDB instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Cloudera Data Platform or DuckDB 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 DuckDB record.

Observability

Monitoring

Track your Cloudera Data Platform ⇄ DuckDB 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 DuckDB.

How the Cloudera Data Platform and DuckDB 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

DuckDB

Integration surface
In-process SQL engine via client libraries (Python, Node.js, JDBC, CLI); no server or network API by default
Authentication
None built in; access control is file-system level (MotherDuck adds token auth for its hosted service)
Change detection
Polling or full re-reads; no change feed or transaction log API
Capabilities
read · write
Rate limits
No API rate limits; throughput is bounded by local compute and I/O
How it works

How to connect Cloudera Data Platform to DuckDB — 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 Cloudera Data Platform and DuckDB 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
    Cloudera Data Platform connected
    DuckDB connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Cloudera Data Platform and DuckDB 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 · Cloudera Data Platform ⇄ DuckDB
    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 DuckDB
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Cloudera Data Platform and DuckDB 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 Cloudera Data Platform and DuckDB.

Popular · 8 of 386
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