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Data warehouse ⇄ Database

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

Keep Cloudera Data Platform and MySQL 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 MySQL

Connect MySQL 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 MySQL'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 MySQL where the services that read from it get them at normal query latency.

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

Common use cases

  • Sync curated CDP tables into an operational Postgres so applications query a low-latency copy instead of hitting the cluster.
  • Publish CRM or ERP records into CDP so enterprise analytics runs alongside existing data lake workloads.
  • Replicate ERP master data (customers, items, pricing) into the MySQL databases behind storefronts and portals
  • Keep e-commerce orders in MySQL flowing into finance and fulfillment systems without export scripts

Offload heavy reads

Point analytical queries at the synced copy in Cloudera Data Platform and keep MySQL focused on its operational workload.

Operational data in the warehouse, minus the pipeline

Rows from MySQL 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 MySQL, where whatever reads from that database gets them without querying the warehouse.

What you can sync between Cloudera Data Platform and MySQL

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 MySQL objects
Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. JSON Columns Validated semi-structured payloads for nested SaaS data.
Iceberg tables Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads. Stored Procedures Server-side logic that can post-process synced rows.
Views SQL views that can present curated, sync-ready projections of raw lake data. Triggers An alternative change-capture mechanism when binlog access is unavailable.
Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads. Databases (Schemas) Top-level namespaces that scope a sync's reads and writes.
Object store / HDFS files Underlying Parquet or ORC files on HDFS or cloud storage backing the tables. Tables The primary sync target; rows map to records in connected systems.
Databases Logical namespaces in the shared Hive Metastore that group tables for access control and syncs. Views Read-side projections used as outbound sync sources.
What ships with Cloudera Data Platform ⇄ MySQL

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

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

Real-time

Two-way sync

Changes in Cloudera Data Platform or MySQL 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 MySQL 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 MySQL record.

Observability

Monitoring

Track your Cloudera Data Platform ⇄ MySQL 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 MySQL.

How the Cloudera Data Platform and MySQL 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

MySQL

Integration surface
SQL wire protocol (MySQL client/server protocol)
Authentication
Database credentials entered as a connection string or parameters, with optional SSL root certificate upload and optional SSH tunnel (SSH user + SSH host)
Change detection
Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when binary logging is enabled)
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by connection limits and server resources
MySQL setup guide
How it works

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

    Choose tables

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

Cloudera Data Platform and MySQL 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 MySQL.

Popular · 8 of 386
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