Real-time
Two-way sync
Changes in AWS Aurora PostgreSQL or Cloudera Data Platform instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Data warehouse
AWS Aurora PostgreSQL to Cloudera Data Platform integration — real-time, two-way sync
Keep AWS Aurora PostgreSQL and Cloudera Data Platform 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
Live sync
stacksync.com - <1s
- latency
- 2-way
- sync
- 100M+
- records
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 AWS Aurora PostgreSQL and Cloudera Data Platform
Connect AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL'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 AWS Aurora PostgreSQL where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in AWS Aurora PostgreSQL sync into Cloudera Data Platform in real time, and result tables in Cloudera Data Platform sync back into AWS Aurora PostgreSQL, 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.
- Feed operational dashboards from a read replica while the writer handles sync traffic.
- Expose ERP records such as customers, orders, and invoices as Postgres tables the engineering team can query and update with plain SQL.
Serve warehouse results at database speed
Aggregates or model outputs computed in Cloudera Data Platform sync into AWS Aurora PostgreSQL, 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.
Offload heavy reads
Point analytical queries at the synced copy in Cloudera Data Platform and keep AWS Aurora PostgreSQL focused on its operational workload.
What you can sync between AWS Aurora PostgreSQL and Cloudera Data Platform
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.
| AWS Aurora PostgreSQL objects | Cloudera Data Platform objects | |
|---|---|---|
| Foreign keys Relationship metadata that syncs can translate into object references elsewhere. | Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. | |
| Replication slots and publications The logical replication objects that power log-based CDC. | Iceberg tables Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads. | |
| Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. | Views SQL views that can present curated, sync-ready projections of raw lake data. | |
| Tables The core sync unit; rows are matched across systems by primary key. | Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads. | |
| Rows Inserted, updated, and deleted in both directions during bi-directional syncs. | Object store / HDFS files Underlying Parquet or ORC files on HDFS or cloud storage backing the tables. | |
| Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. | Databases Logical namespaces in the shared Hive Metastore that group tables for access control and syncs. |
What ships with AWS Aurora PostgreSQL ⇄ Cloudera Data Platform
Connect AWS Aurora PostgreSQL and Cloudera Data Platform for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–Cloudera Data Platform connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever AWS Aurora PostgreSQL or 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 AWS Aurora PostgreSQL or Cloudera Data Platform record.
Observability
Monitoring
Track your AWS Aurora PostgreSQL ⇄ 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 between AWS Aurora PostgreSQL and Cloudera Data Platform.
How the AWS Aurora PostgreSQL and Cloudera Data Platform connectors work
AWS Aurora PostgreSQL
- Integration surface
- SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC
- Authentication
- Database credentials, optionally AWS IAM database authentication, over TLS
- Change detection
- Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback
- Capabilities
- read · write · CDC
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
How it works
How to connect AWS Aurora PostgreSQL to Cloudera Data Platform — 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 AWS Aurora PostgreSQL and Cloudera Data Platform with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
AWS Aurora PostgreSQL
connected
Cloudera Data Platform
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the AWS Aurora PostgreSQL and Cloudera Data Platform 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 · AWS Aurora PostgreSQL ⇄ Cloudera Data PlatformCustomers 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.
AWS Aurora PostgreSQL Cloudera Data PlatformCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
AWS Aurora PostgreSQL and Cloudera Data Platform integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between AWS Aurora PostgreSQL and Cloudera Data Platform: authenticate both systems, choose the objects to sync (such as AWS Aurora PostgreSQL's Foreign keys and Replication slots and publications), map fields visually, and changes propagate both ways 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 AWS Aurora PostgreSQL and Cloudera Data Platform 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 AWS Aurora PostgreSQL and Cloudera Data Platform connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom AWS Aurora PostgreSQL–Cloudera Data Platform integration in-house.
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Yes — Stacksync ships production-grade connectors for both AWS Aurora PostgreSQL and Cloudera Data Platform. 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 AWS Aurora PostgreSQL: Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback. On Cloudera Data Platform: Polling via SQL on timestamp or partition columns; no consumer-facing change feed. 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 Cloudera Data Platform side: Views, Partitions, Object store / HDFS files, Databases, plus custom fields where Cloudera Data Platform exposes them. On the AWS Aurora PostgreSQL side: Columns, Primary keys and constraints, Views and materialized views, Foreign keys. Stacksync auto-detects both schemas and converts types between the two systems.
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 AWS Aurora PostgreSQL and Cloudera Data Platform.
Popular · 8 of 386
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AWS Aurora PostgreSQL ⇄ Databricks -
AWS Aurora PostgreSQL ⇄ AWS S3 -
AWS Aurora PostgreSQL ⇄ Actian Vector -
AWS Aurora PostgreSQL ⇄ Amazon Redshift -
Cloudera Data Platform ⇄ YugabyteDB -
Cloudera Data Platform ⇄ PostgreSQL -
Cloudera Data Platform ⇄ Amazon RDS -
Cloudera Data Platform ⇄ Supabase
No integrations match .
